This document summarizes Species File software, which provides an online platform and services for taxonomists to manage biodiversity data. Key points:
- Species File software includes tools for nomenclature management, online data entry and editing, search capabilities, and data sharing.
- It supports several data standards and allows sharing data through various global biodiversity portals and web services.
- The platform manages various taxon-specific databases, with the Orthoptera Species File being a flagship example. Future plans include adding more taxon-specific files and integrating with other biodiversity informatics frameworks.
BioSHaRE: Opal and Mica: a software suite for data harmonization and federati...Lisette Giepmans
BioSHaRE conference July 28th, 2015, Milan - Latest tools and services for data sharing
Stream 1: Tools for data sharing analysis and enhancement
Opal is a software application to manage study data, and includes a feature enabling data harmonisation and data integration across studies. As such, Opal supports the development and implementation of processing algorithms required to transform study-specific data into a common harmonised format. Moreover, when connected to a Mica web interface, Opal allows users to seamlessly and securely search distributed datasets across several Opal instances.
Opal is freely available for download at www.obiba.org and is provided under the GPL3 open source licence. All studies or networks of studies using the Opal software for data storage, data management or data harmonisation must mention Opal in manuscripts, presentations, or other works made public and include a web link to the Maelstrom Research website (www.maelstrom-research.org).
Mica is a software application developed to create web portals for individual epidemiological studies or for study consortia. Features supported by Mica include a standardised study catalogue, study-specific and harmonised variable data dictionary browsers, online data access request forms, and communication tools (e.g. forums, events, news).
When used in conjunction with the Opal software, Mica also allows authenticated users (i.e. with username and password) to perform distributed queries on the content of study databases hosted on remote servers, and retrieve summary statistics of that content.
Mica is a Java-based, cross-platform, client-server application and comes along with the following two clients: the administrators' user interface and a content management system (Drupal) used to render the catalogue content on the study or consortium.
Mica is freely available for download at www.obiba.org and is provided under the GPL3 open source license.
Using and extending Darwin Core for structured attribute dataCyndy Parr
Presented at the Biodiversity Information Standards (Taxonomic Databases Working Group) 2013 meeting in Florence, Italy on 29 October 2013. Essentially, an introduction to the new trait repository of Encyclopedia of Life.
From data to knowledge – the Ondex System for integrating Life Sciences data ...Catherine Canevet
The ONDEX system is an open source data integration platform developed under the SABR initiative from 2008-2011 to create a robust, extensible system for supporting systems biology research. ONDEX stores data as a graph of concepts and relations, imports data through parsers, maps concepts to create relations, and performs consistency checks. It was used in four demonstrator projects involving three research centers to integrate life sciences data sources, including identifying new targets for improving bioenergy crops.
Open Science Data Repository - the platform for materials researchValery Tkachenko
Over the last few years we have seen a tremendous growth in various data repositories pushed and supported by funding bodies and various data preservation initiatives. As a result we have now a variety of scientific resources, combined into a broad network and indexed through the directories like BioSharing and re3data. Such network, while growing quickly, is still in early days of adopting semantic web standards and does not yet support deep data indexing and discoverability, leave alone that mechanisms of intellectual properties protection are as simple as making data public or private at best. The lack of standards and well defined models to describe a scientific information structure even further inhibits free information flow which is essential for scientific discovery. One of the most affected areas is not surprisingly materials sciences where due to the inherent complexity of the field of study the situation is even more severe. In this talk we present a chemistry information platform designed to support a variety of data formats along with metadata, sophisticated ways of collaboration and secure data exchanges. We will discuss challenges that we have faced developing such platform as well as solutions that we have came with.
Access to scientific information has changed in a manner that was likely never even imagined by the early pioneers of the internet. The quantities of data, the array of tools available to search and analyze, the devices and the shift in community participation continues to expand while the pace of change does not appear to be slowing. ChemSpider is one of the chemistry community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of this eScience cheminformatics platform and the nature of the solutions that it helps to enable including structure validation, text mining and semantic markup, the National Chemical Database Service for the United Kingdom and the development of a chemistry data repository. We will also discuss the possibilities it offers in the domain of crowdsourcing and open data sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community and facilitated collaboration and ultimately accelerate scientific progress.
Chemistry Validation and Standardization Platform v2.0Valery Tkachenko
In recent years there has been explosive growth in the number of public chemical databases available online, a number of these containing 10s of millions of chemical structures. Examples include PubChem, ChemSpider and ChEMBL and users of these databases have become increasingly aware of the issue of data quality associated with these public resources. Seamless integration and mapping between databases, even for some common chemicals, is challenged by differing approaches to chemical standardization prior to registration into a database. The lack of standards in representing and handling chemical information certainly contributes to aspects of this problem. The Chemistry Validation and Standardization Platform (CVSP), originally developed to support the European Innovative Medicines Initiative project known as OpenPHACTS, was developed with the intention of providing an open platform for processing and standardizing chemical compounds. The system has been used to process millions of chemical compounds for dissemination through public websites and, unlike other validation and standardization systems, the system provides support for both standard and custom rulesets. We will provide an overview of CVSP 2.0, the next generation of the platform extending support to new cheminformatics toolkits and additional capabilities such as collaborative rules authoring.
This document summarizes Species File software, which provides an online platform and services for taxonomists to manage biodiversity data. Key points:
- Species File software includes tools for nomenclature management, online data entry and editing, search capabilities, and data sharing.
- It supports several data standards and allows sharing data through various global biodiversity portals and web services.
- The platform manages various taxon-specific databases, with the Orthoptera Species File being a flagship example. Future plans include adding more taxon-specific files and integrating with other biodiversity informatics frameworks.
BioSHaRE: Opal and Mica: a software suite for data harmonization and federati...Lisette Giepmans
BioSHaRE conference July 28th, 2015, Milan - Latest tools and services for data sharing
Stream 1: Tools for data sharing analysis and enhancement
Opal is a software application to manage study data, and includes a feature enabling data harmonisation and data integration across studies. As such, Opal supports the development and implementation of processing algorithms required to transform study-specific data into a common harmonised format. Moreover, when connected to a Mica web interface, Opal allows users to seamlessly and securely search distributed datasets across several Opal instances.
Opal is freely available for download at www.obiba.org and is provided under the GPL3 open source licence. All studies or networks of studies using the Opal software for data storage, data management or data harmonisation must mention Opal in manuscripts, presentations, or other works made public and include a web link to the Maelstrom Research website (www.maelstrom-research.org).
Mica is a software application developed to create web portals for individual epidemiological studies or for study consortia. Features supported by Mica include a standardised study catalogue, study-specific and harmonised variable data dictionary browsers, online data access request forms, and communication tools (e.g. forums, events, news).
When used in conjunction with the Opal software, Mica also allows authenticated users (i.e. with username and password) to perform distributed queries on the content of study databases hosted on remote servers, and retrieve summary statistics of that content.
Mica is a Java-based, cross-platform, client-server application and comes along with the following two clients: the administrators' user interface and a content management system (Drupal) used to render the catalogue content on the study or consortium.
Mica is freely available for download at www.obiba.org and is provided under the GPL3 open source license.
Using and extending Darwin Core for structured attribute dataCyndy Parr
Presented at the Biodiversity Information Standards (Taxonomic Databases Working Group) 2013 meeting in Florence, Italy on 29 October 2013. Essentially, an introduction to the new trait repository of Encyclopedia of Life.
From data to knowledge – the Ondex System for integrating Life Sciences data ...Catherine Canevet
The ONDEX system is an open source data integration platform developed under the SABR initiative from 2008-2011 to create a robust, extensible system for supporting systems biology research. ONDEX stores data as a graph of concepts and relations, imports data through parsers, maps concepts to create relations, and performs consistency checks. It was used in four demonstrator projects involving three research centers to integrate life sciences data sources, including identifying new targets for improving bioenergy crops.
Open Science Data Repository - the platform for materials researchValery Tkachenko
Over the last few years we have seen a tremendous growth in various data repositories pushed and supported by funding bodies and various data preservation initiatives. As a result we have now a variety of scientific resources, combined into a broad network and indexed through the directories like BioSharing and re3data. Such network, while growing quickly, is still in early days of adopting semantic web standards and does not yet support deep data indexing and discoverability, leave alone that mechanisms of intellectual properties protection are as simple as making data public or private at best. The lack of standards and well defined models to describe a scientific information structure even further inhibits free information flow which is essential for scientific discovery. One of the most affected areas is not surprisingly materials sciences where due to the inherent complexity of the field of study the situation is even more severe. In this talk we present a chemistry information platform designed to support a variety of data formats along with metadata, sophisticated ways of collaboration and secure data exchanges. We will discuss challenges that we have faced developing such platform as well as solutions that we have came with.
Access to scientific information has changed in a manner that was likely never even imagined by the early pioneers of the internet. The quantities of data, the array of tools available to search and analyze, the devices and the shift in community participation continues to expand while the pace of change does not appear to be slowing. ChemSpider is one of the chemistry community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of this eScience cheminformatics platform and the nature of the solutions that it helps to enable including structure validation, text mining and semantic markup, the National Chemical Database Service for the United Kingdom and the development of a chemistry data repository. We will also discuss the possibilities it offers in the domain of crowdsourcing and open data sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community and facilitated collaboration and ultimately accelerate scientific progress.
Chemistry Validation and Standardization Platform v2.0Valery Tkachenko
In recent years there has been explosive growth in the number of public chemical databases available online, a number of these containing 10s of millions of chemical structures. Examples include PubChem, ChemSpider and ChEMBL and users of these databases have become increasingly aware of the issue of data quality associated with these public resources. Seamless integration and mapping between databases, even for some common chemicals, is challenged by differing approaches to chemical standardization prior to registration into a database. The lack of standards in representing and handling chemical information certainly contributes to aspects of this problem. The Chemistry Validation and Standardization Platform (CVSP), originally developed to support the European Innovative Medicines Initiative project known as OpenPHACTS, was developed with the intention of providing an open platform for processing and standardizing chemical compounds. The system has been used to process millions of chemical compounds for dissemination through public websites and, unlike other validation and standardization systems, the system provides support for both standard and custom rulesets. We will provide an overview of CVSP 2.0, the next generation of the platform extending support to new cheminformatics toolkits and additional capabilities such as collaborative rules authoring.
Clustering the royal society of chemistry chemical repository to enable enhan...Valery Tkachenko
The Royal Society of Chemistry has hosted the ChemSpider database and associated platforms for over five years. Technologies made significant progress over that period but, more importantly, the community needs in terms of the variety of data types as well as search performance have increased. The preprocessing of chemicals for improved similarity searching and compound database navigation is seen as one crucial component of major development efforts to architect a new data repository. This component is engineered and implemented in collaboration with the group of Professor Oliver Kohlbacher at University of Tübingen. They have developed an approach for clustering large chemical libraries based on a fast, parallel, and purely CPU-based algorithm for 2D binary fingerprint similarity calculation. Using this method, the complete similarity network of our seed set with tens of millions of chemicals has been analyzed at a Tanimoto threshold of 0.6 and all similarity links were fed into our database. The latter is highly beneficial and will allow us to create more complex and enriching visualizations of similar compounds with associated bioactivity data and physicochemical properties for the RSC chemical repository users. This presentation will provide an overview of our experiences in applying clustering to our compound data and how it will be used to enrich data navigation on the RSC data repository.
Building a semantic chemistry platform with the royal society of chemistryValery Tkachenko
We live in an exponentially expanding world of “big data”. Social networks, global portals and other distributed systems have been attempting to deal with the problem for a few years now. Scientific applications are commonly lagging behind the mainstream trends due to the complexity of the scientific domain. The Royal Society of Chemistry is building the Global Chemistry Network connecting a variety of resources both in-house and external, bridging gaps and advancing the chemical sciences. One of the main issues connected to the world of big data is the ease of navigation and comprehensiveness of the search capabilities. This is where the approach of the semantic web meets the world of big data. We will present our approaches in building a global federated chemistry platform connecting multiple domains of chemistry using semantic web technologies.
FAIR Data and Model Management for Systems Biology(and SOPs too!)Carole Goble
MultiScale Biology Network Springboard meeting, Nottingham, UK, 1 June 2015
FAIR Data and model management for Systems Biology
Over the past 5 years we have seen a change in expectations for the management of all the outcomes of research – that is the “assets” of data, models, codes, SOPs and so forth. Don’t stop reading. Yes, data management isn’t likely to win anyone a Nobel prize. But publications should be supported and accompanied by data, methods, procedures, etc. to assure reproducibility of results. Funding agencies expect data (and increasingly software) management retention and access plans as part of the proposal process for projects to be funded. Journals are raising their expectations of the availability of data and codes for pre- and post- publication. And the multi-component, multi-disciplinary nature of Systems Biology demands the interlinking and exchange of assets and the systematic recording of metadata for their interpretation.
Data and model management for the Systems Biology community is a multi-faceted one including: the development and adoption appropriate community standards (and the navigation of the standards maze); the sustaining of international public archives capable of servicing quantitative biology; and the development of the necessary tools and know-how for researchers within their own institutes so that they can steward their assets in a sustainable, coherent and credited manner while minimizing burden and maximising personal benefit.
The FAIRDOM (Findable, Accessible, Interoperable, Reusable Data, Operations and Models) Initiative has grown out of several efforts in European programmes (SysMO and EraSysAPP ERANets and the ISBE ESRFI) and national initiatives (de.NBI, German Virtual Liver Network, SystemsX, UK SynBio centres). It aims to support Systems Biology researchers with data and model management, with an emphasis on standards smuggled in by stealth.
This talk will use the FAIRDOM Initiative to discuss the FAIR management of data, SOPs, and models for Sys Bio, highlighting the challenges multi-scale biology presents.
http://www.fair-dom.org
http://www.fairdomhub.org
http://www.seek4science.org
CrossRef DOIs for African Journal Partnership JournalsCrossref
This document discusses CrossRef and the services it provides to scholarly publishers and journals. CrossRef is a not-for-profit organization that provides Digital Object Identifiers (DOIs) and linking services to over 5,000 member publications. It summarizes CrossRef's reference linking, metadata, and plagiarism checking services. It also provides information for African journals on how to get CrossRef DOIs and participate in CrossRef programs and services.
The royal society of chemistry and its adoption of semantic web technologies ...Valery Tkachenko
Semantic web technologies have quickly penetrated all areas of traditional and new database systems and have become the de facto standard in information exchange and communication. The Royal Society of Chemistry has built a new chemistry data repository with the semantic web at the core of the system. Every module of the data repository contains a semantic web layer and is able to interact internally and externally using standard approaches and formats including RDF, appropriate ontologies, SPARQL querying and so on. In this presentation we will review the challenges associated with developing this new system based on semantic web technologies and how the approach that we have taken offers distinct advantages over the original data model designed to produce the ChemSpider database. Its advantages include extensibility, an ontological underpinning, federated integration and the adoption of modern standards rather than the constraints of a standard SQL model.
This document summarizes a presentation about the Plazi Treatment Repository project. It discusses how Plazi aims to make over 1 million taxonomic treatments openly accessible by semantically enhancing and linking content from biodiversity literature. A major challenge is copyright restrictions on publications, which Plazi addresses by only including non-copyrighted content and material for internal use. The presentation argues for legal changes like mandatory research licenses to further remove barriers to information exchange.
Proteomics and the "big data" trend: challenges and new possibilitites (Talk ...Juan Antonio Vizcaino
The document discusses the challenges and opportunities of big data in proteomics. It describes how proteomics data volumes are growing rapidly due to technological advances, creating both computational challenges for data analysis and opportunities to reuse large amounts of public data. The PRIDE Archive at EBI stores over 4,000 proteomics datasets and provides tools like PRIDE Inspector to help analyze and validate large datasets. However, challenges remain around data standardization, metadata completeness, and the need for greater computational infrastructure and expertise to fully leverage the large amounts of shared proteomics data.
This document discusses using ontologies to make biological and biomedical data more interoperable and FAIR (Findable, Accessible, Interoperable, Reusable). It describes several ontology services and tools provided by EMBL-EBI to help with tasks like annotating data, mapping data to ontologies, searching and accessing ontologies, and publishing structured data. It also uses the example of the BioSamples database to illustrate challenges in working with large, heterogeneous datasets and how ontologies can help address issues like normalizing descriptions and attributes to enable better searching and data integration.
China: Journal Publishing, DOI and CrossCheck (2011 CrossRef Workshops)Crossref
This document summarizes information about journal publishing in China. It notes that China publishes around 5,000 scientific journals annually, with around 220 having English editions. Major digital databases that index Chinese journals are also discussed, including CNKI and WanFang Data, which together index over 170 million articles. The use of digital identifiers like DOI in China is still developing, with challenges around integrating Chinese-language journals and databases with international identifiers and services like CrossRef and CrossCheck.
At a time when the data explosion has simply been redefined as “Big”, the hurdles associated with building a subject-specific data repository for chemistry are daunting. Combining a multitude of non-standard data formats for chemicals, related properties, reactions, spectra etc., together with the confusion of licensing and embargoing, and providing for data exchange and integration with services and platforms external to the repository, the challenge is significant. This all at a time when semantic technologies are touted as the fundamental technology to enhance integration and discoverability. Funding agencies are demanding change, especially a change towards access to open data to parallel their expectations around Open Access publishing. The Royal Society of Chemistry has been funded by the Engineering and Physical Science Research of the UK to deliver a “chemical database service” for UK scientists. This presentation will provide an overview of the challenges associated with this project and our progress in delivering a chemistry repository capable of handling the complex data types associated with chemistry. The benefits of such a repository in terms of providing data to develop prediction models to further enable scientific discovery will be discussed and the potential impact on the future of scientific publishing will also be examined.
BioDBCore: Current Status and Next DevelopmentsPascale Gaudet
The document discusses BioDBCore, a collaborative project aimed at gathering and standardizing metadata about biological databases. It provides an overview of BioDBCore's goals of improving data integration, encouraging standards, and maximizing resources. BioDBCore is led by Pascale Gaudet and Philippe Rocca-Serra and implemented on the BioSharing website. The document outlines the BioDBCore descriptors for databases and provides an example entry for the dictyBase database. It discusses maintaining and expanding BioDBCore records with the help of database providers and journals.
Tools and approaches for data deposition into nanomaterial databasesValery Tkachenko
This document summarizes tools and approaches for depositing nanomaterial data into databases. It discusses the need for organized nanomaterial data and describes objectives to develop an interactive notebook called NanoBook for capturing characterization data. It aims to enhance the Nanomaterial Registry ontology and implement computational tools for quantitative structure-property relationship modeling to guide experimental design of novel nanomaterials. Challenges include developing descriptors for diverse nanoparticle structures and conducting systematic studies. The proposed solution is an open science data repository to map, import, export and analyze nanomaterial documents and data.
OSFair2017 Workshop | How FAIR friendly is the FAIRDOM Hub? Exposing metadata...Open Science Fair
Carole Goble presents the FAIRDOM | OSFair2017 Workshop
Workshop title: How FAIR friendly is your data catalogue?
Workshop overview:
This workshop will build upon the work planned by the EOSCpilot data interoperability task and the BlueBridge workshop held on April 3 at the RDA meeting. We will investigate common mechanisms for interoperation of data catalogues that preserve established community standards, norms and resources, while simplifying the process of being/becoming FAIR. Can we have a simple interoperability architecture based on a common set of metadata types? What are the minimum metadata requirements to expose FAIR data to EOSC services and EOSC users?
DAY 3 - PARALLEL SESSION 6 & 7
FAIR data and model management for systems biology.FAIRDOM
Written and presented by Carole Goble (University of Manchester) as part of Intelligent Systems for Molecular Biology (ISMB), Dublin. July 10th - 14th 2015.
The Royal Society of Chemistry publishes many thousands of articles per year, the majority of these containing rich chemistry data that, in general, in limited in its value when isolated only to the HTML or PDF form of the articles commonly consumed by readers. RSC also has an archive of over 300,000 articles containing rich chemistry data especially in the form of chemicals, reactions, property data and analytical spectra. RSC is developing a platform integrating these various forms of chemistry data. The data will be aggregated both during the manuscript deposition process as well as the result of text-mining and extraction of data from across the RSC archive. This presentation will report on the development of the platform including our success in extracting compounds, reactions and spectral data from articles. We will also discuss our developing process for handling data at manuscript deposition and the integration and support of eLab Notebooks (ELNS) in terms of facilitating data deposition and sourcing data. Each of these processes is intended to ensure long-term access to research data with the intention of facilitating improved discovery.
Over the past five years the Royal Society of Chemistry has become world renowned for its public domain compound database that integrates chemical structures with online resources and available data. ChemSpider regularly serves over 50,000 users per day who are seeking chemistry related data. In parallel we have used ChemSpider and available software services to underpin a number of grant-based projects that we have been involved with: Open PHACTS – a semantic web project integrating chemistry and biology data, PharmaSea – seeking out new natural products from the ocean and the National Chemical Database Service for the United Kingdom. We are presently developing a new architecture that will offer broader scope in terms of the types of chemistry data that can be hosted. This presentation will provide an overview of our Cheminformatics activities at RSC, the development of a new architecture for a data repository that will underpin a global chemistry network, and the challenges ahead, as well as our activities in releasing software and data to the chemistry community.
At a time when the data explosion has simply been redefined as “Big”, the hurdles associated with building a subject-specific data repository for chemistry are daunting. Combining a multitude of non-standard data formats for chemicals, related properties, reactions, spectra etc., together with the confusion of licensing and embargoing, and providing for data exchange and integration with services and platforms external to the repository, the challenge is significant. This all at a time when semantic technologies are touted as the fundamental technology to enhance integration and discoverability. Funding agencies are demanding change, especially a change towards access to open data to parallel their expectations around Open Access publishing. The Royal Society of Chemistry has been funded by the Engineering and Physical Science Research of the UK to deliver a “chemical database service” for UK scientists. This presentation will provide an overview of the challenges associated with this project and our progress in delivering a chemistry repository capable of handling the complex data types ssociated with chemistry. The benefits of such a repository in terms of providing data to develop prediction models to further enable scientific discovery will be discussed and the potential impact on the future of scientific publishing will also be examined.
The Center for Expanded Data Annotation and Retrieval (CEDAR) has developed a suite of tools and services that allow scientists to create and publish metadata describing scientific experiments. Using these tools and services—referred to collectively as the CEDAR Workbench—scientists can collaboratively author metadata and submit them to public repositories. A key focus of our software is semantically enriching metadata with ontology terms. The system combines emerging technologies, such as JSON-LD and graph databases, with modern software development technologies, such as microservices and container platforms. The result is a suite of user-friendly, Web-based tools and REST APIs that provide a versatile end-to-end solution to the problems of metadata authoring and management. This talk presents the architecture of the CEDAR Workbench and focuses on the technology choices made to construct an easily usable, open system that allows users to create and publish semantically enriched metadata in standard Web formats.
This document discusses ChemSpider, an online database of chemical compounds. It summarizes ChemSpider's capabilities, including searching by mass or formula for structure identification. ChemSpider contains over 34 million chemicals from various sources that can be searched and filtered. The document outlines how ChemSpider provides value to mass spectrometrists and discusses efforts to integrate more spectral data like NMR spectra directly into ChemSpider from publications and individual submissions. Future goals include hosting over a million spectra online and improving visualization of spectral data.
ICIC 2013 Conference Proceedings Antony Williams Royal Society of ChemistryDr. Haxel Consult
The Big Data Challenges Associated with Building a National Data Repository for Chemistry
Antony Williams (Royal Society of Chemistry , USA)
At a time when the data explosion has simply been redefined as “Big”, the hurdles associated with building a subject-specific data repository for chemistry are daunting. Combining a multitude of non-standard data formats for chemicals, related properties, reactions, spectra etc., together with the confusion of licensing and embargoing, and providing for data exchange and integration with services and platforms external to the repository, the challenge is significant. This all at a time when semantic technologies are touted as the fundamental technology to enhance integration and discoverability. Funding agencies are demanding change, especially a change towards access to open data to parallel their expectations around Open Access publishing. The Royal Society of Chemistry has been funded by the Engineering and Physical Science Research of the UK to deliver a “chemical database service” for UK scientists. This presentation will provide an overview of the challenges associated with this project and our progress in delivering a chemistry repository capable of handling the complex data types associated with chemistry. The benefits of such a repository in terms of providing data to develop prediction models to further enable scientific discovery will be discussed and the potential impact on the future of scientific publishing will also be examined.
This document provides an overview of Europe PubMed Central, a repository for life science literature built in collaboration with PubMed Central USA and Canada. It contains over 28 million abstracts and 2.5 million full text articles, with 600k open access articles. The document outlines reasons to use Europe PMC including integrated searching of abstracts and full text, semantic enrichment of text, and citation linking. It also discusses providing credit for authors, funders, and data through features like author search and linking publications to ORCID profiles. Tools are being developed for database curators to monitor when data is cited in articles.
Clustering the royal society of chemistry chemical repository to enable enhan...Valery Tkachenko
The Royal Society of Chemistry has hosted the ChemSpider database and associated platforms for over five years. Technologies made significant progress over that period but, more importantly, the community needs in terms of the variety of data types as well as search performance have increased. The preprocessing of chemicals for improved similarity searching and compound database navigation is seen as one crucial component of major development efforts to architect a new data repository. This component is engineered and implemented in collaboration with the group of Professor Oliver Kohlbacher at University of Tübingen. They have developed an approach for clustering large chemical libraries based on a fast, parallel, and purely CPU-based algorithm for 2D binary fingerprint similarity calculation. Using this method, the complete similarity network of our seed set with tens of millions of chemicals has been analyzed at a Tanimoto threshold of 0.6 and all similarity links were fed into our database. The latter is highly beneficial and will allow us to create more complex and enriching visualizations of similar compounds with associated bioactivity data and physicochemical properties for the RSC chemical repository users. This presentation will provide an overview of our experiences in applying clustering to our compound data and how it will be used to enrich data navigation on the RSC data repository.
Building a semantic chemistry platform with the royal society of chemistryValery Tkachenko
We live in an exponentially expanding world of “big data”. Social networks, global portals and other distributed systems have been attempting to deal with the problem for a few years now. Scientific applications are commonly lagging behind the mainstream trends due to the complexity of the scientific domain. The Royal Society of Chemistry is building the Global Chemistry Network connecting a variety of resources both in-house and external, bridging gaps and advancing the chemical sciences. One of the main issues connected to the world of big data is the ease of navigation and comprehensiveness of the search capabilities. This is where the approach of the semantic web meets the world of big data. We will present our approaches in building a global federated chemistry platform connecting multiple domains of chemistry using semantic web technologies.
FAIR Data and Model Management for Systems Biology(and SOPs too!)Carole Goble
MultiScale Biology Network Springboard meeting, Nottingham, UK, 1 June 2015
FAIR Data and model management for Systems Biology
Over the past 5 years we have seen a change in expectations for the management of all the outcomes of research – that is the “assets” of data, models, codes, SOPs and so forth. Don’t stop reading. Yes, data management isn’t likely to win anyone a Nobel prize. But publications should be supported and accompanied by data, methods, procedures, etc. to assure reproducibility of results. Funding agencies expect data (and increasingly software) management retention and access plans as part of the proposal process for projects to be funded. Journals are raising their expectations of the availability of data and codes for pre- and post- publication. And the multi-component, multi-disciplinary nature of Systems Biology demands the interlinking and exchange of assets and the systematic recording of metadata for their interpretation.
Data and model management for the Systems Biology community is a multi-faceted one including: the development and adoption appropriate community standards (and the navigation of the standards maze); the sustaining of international public archives capable of servicing quantitative biology; and the development of the necessary tools and know-how for researchers within their own institutes so that they can steward their assets in a sustainable, coherent and credited manner while minimizing burden and maximising personal benefit.
The FAIRDOM (Findable, Accessible, Interoperable, Reusable Data, Operations and Models) Initiative has grown out of several efforts in European programmes (SysMO and EraSysAPP ERANets and the ISBE ESRFI) and national initiatives (de.NBI, German Virtual Liver Network, SystemsX, UK SynBio centres). It aims to support Systems Biology researchers with data and model management, with an emphasis on standards smuggled in by stealth.
This talk will use the FAIRDOM Initiative to discuss the FAIR management of data, SOPs, and models for Sys Bio, highlighting the challenges multi-scale biology presents.
http://www.fair-dom.org
http://www.fairdomhub.org
http://www.seek4science.org
CrossRef DOIs for African Journal Partnership JournalsCrossref
This document discusses CrossRef and the services it provides to scholarly publishers and journals. CrossRef is a not-for-profit organization that provides Digital Object Identifiers (DOIs) and linking services to over 5,000 member publications. It summarizes CrossRef's reference linking, metadata, and plagiarism checking services. It also provides information for African journals on how to get CrossRef DOIs and participate in CrossRef programs and services.
The royal society of chemistry and its adoption of semantic web technologies ...Valery Tkachenko
Semantic web technologies have quickly penetrated all areas of traditional and new database systems and have become the de facto standard in information exchange and communication. The Royal Society of Chemistry has built a new chemistry data repository with the semantic web at the core of the system. Every module of the data repository contains a semantic web layer and is able to interact internally and externally using standard approaches and formats including RDF, appropriate ontologies, SPARQL querying and so on. In this presentation we will review the challenges associated with developing this new system based on semantic web technologies and how the approach that we have taken offers distinct advantages over the original data model designed to produce the ChemSpider database. Its advantages include extensibility, an ontological underpinning, federated integration and the adoption of modern standards rather than the constraints of a standard SQL model.
This document summarizes a presentation about the Plazi Treatment Repository project. It discusses how Plazi aims to make over 1 million taxonomic treatments openly accessible by semantically enhancing and linking content from biodiversity literature. A major challenge is copyright restrictions on publications, which Plazi addresses by only including non-copyrighted content and material for internal use. The presentation argues for legal changes like mandatory research licenses to further remove barriers to information exchange.
Proteomics and the "big data" trend: challenges and new possibilitites (Talk ...Juan Antonio Vizcaino
The document discusses the challenges and opportunities of big data in proteomics. It describes how proteomics data volumes are growing rapidly due to technological advances, creating both computational challenges for data analysis and opportunities to reuse large amounts of public data. The PRIDE Archive at EBI stores over 4,000 proteomics datasets and provides tools like PRIDE Inspector to help analyze and validate large datasets. However, challenges remain around data standardization, metadata completeness, and the need for greater computational infrastructure and expertise to fully leverage the large amounts of shared proteomics data.
This document discusses using ontologies to make biological and biomedical data more interoperable and FAIR (Findable, Accessible, Interoperable, Reusable). It describes several ontology services and tools provided by EMBL-EBI to help with tasks like annotating data, mapping data to ontologies, searching and accessing ontologies, and publishing structured data. It also uses the example of the BioSamples database to illustrate challenges in working with large, heterogeneous datasets and how ontologies can help address issues like normalizing descriptions and attributes to enable better searching and data integration.
China: Journal Publishing, DOI and CrossCheck (2011 CrossRef Workshops)Crossref
This document summarizes information about journal publishing in China. It notes that China publishes around 5,000 scientific journals annually, with around 220 having English editions. Major digital databases that index Chinese journals are also discussed, including CNKI and WanFang Data, which together index over 170 million articles. The use of digital identifiers like DOI in China is still developing, with challenges around integrating Chinese-language journals and databases with international identifiers and services like CrossRef and CrossCheck.
At a time when the data explosion has simply been redefined as “Big”, the hurdles associated with building a subject-specific data repository for chemistry are daunting. Combining a multitude of non-standard data formats for chemicals, related properties, reactions, spectra etc., together with the confusion of licensing and embargoing, and providing for data exchange and integration with services and platforms external to the repository, the challenge is significant. This all at a time when semantic technologies are touted as the fundamental technology to enhance integration and discoverability. Funding agencies are demanding change, especially a change towards access to open data to parallel their expectations around Open Access publishing. The Royal Society of Chemistry has been funded by the Engineering and Physical Science Research of the UK to deliver a “chemical database service” for UK scientists. This presentation will provide an overview of the challenges associated with this project and our progress in delivering a chemistry repository capable of handling the complex data types associated with chemistry. The benefits of such a repository in terms of providing data to develop prediction models to further enable scientific discovery will be discussed and the potential impact on the future of scientific publishing will also be examined.
BioDBCore: Current Status and Next DevelopmentsPascale Gaudet
The document discusses BioDBCore, a collaborative project aimed at gathering and standardizing metadata about biological databases. It provides an overview of BioDBCore's goals of improving data integration, encouraging standards, and maximizing resources. BioDBCore is led by Pascale Gaudet and Philippe Rocca-Serra and implemented on the BioSharing website. The document outlines the BioDBCore descriptors for databases and provides an example entry for the dictyBase database. It discusses maintaining and expanding BioDBCore records with the help of database providers and journals.
Tools and approaches for data deposition into nanomaterial databasesValery Tkachenko
This document summarizes tools and approaches for depositing nanomaterial data into databases. It discusses the need for organized nanomaterial data and describes objectives to develop an interactive notebook called NanoBook for capturing characterization data. It aims to enhance the Nanomaterial Registry ontology and implement computational tools for quantitative structure-property relationship modeling to guide experimental design of novel nanomaterials. Challenges include developing descriptors for diverse nanoparticle structures and conducting systematic studies. The proposed solution is an open science data repository to map, import, export and analyze nanomaterial documents and data.
OSFair2017 Workshop | How FAIR friendly is the FAIRDOM Hub? Exposing metadata...Open Science Fair
Carole Goble presents the FAIRDOM | OSFair2017 Workshop
Workshop title: How FAIR friendly is your data catalogue?
Workshop overview:
This workshop will build upon the work planned by the EOSCpilot data interoperability task and the BlueBridge workshop held on April 3 at the RDA meeting. We will investigate common mechanisms for interoperation of data catalogues that preserve established community standards, norms and resources, while simplifying the process of being/becoming FAIR. Can we have a simple interoperability architecture based on a common set of metadata types? What are the minimum metadata requirements to expose FAIR data to EOSC services and EOSC users?
DAY 3 - PARALLEL SESSION 6 & 7
FAIR data and model management for systems biology.FAIRDOM
Written and presented by Carole Goble (University of Manchester) as part of Intelligent Systems for Molecular Biology (ISMB), Dublin. July 10th - 14th 2015.
The Royal Society of Chemistry publishes many thousands of articles per year, the majority of these containing rich chemistry data that, in general, in limited in its value when isolated only to the HTML or PDF form of the articles commonly consumed by readers. RSC also has an archive of over 300,000 articles containing rich chemistry data especially in the form of chemicals, reactions, property data and analytical spectra. RSC is developing a platform integrating these various forms of chemistry data. The data will be aggregated both during the manuscript deposition process as well as the result of text-mining and extraction of data from across the RSC archive. This presentation will report on the development of the platform including our success in extracting compounds, reactions and spectral data from articles. We will also discuss our developing process for handling data at manuscript deposition and the integration and support of eLab Notebooks (ELNS) in terms of facilitating data deposition and sourcing data. Each of these processes is intended to ensure long-term access to research data with the intention of facilitating improved discovery.
Over the past five years the Royal Society of Chemistry has become world renowned for its public domain compound database that integrates chemical structures with online resources and available data. ChemSpider regularly serves over 50,000 users per day who are seeking chemistry related data. In parallel we have used ChemSpider and available software services to underpin a number of grant-based projects that we have been involved with: Open PHACTS – a semantic web project integrating chemistry and biology data, PharmaSea – seeking out new natural products from the ocean and the National Chemical Database Service for the United Kingdom. We are presently developing a new architecture that will offer broader scope in terms of the types of chemistry data that can be hosted. This presentation will provide an overview of our Cheminformatics activities at RSC, the development of a new architecture for a data repository that will underpin a global chemistry network, and the challenges ahead, as well as our activities in releasing software and data to the chemistry community.
At a time when the data explosion has simply been redefined as “Big”, the hurdles associated with building a subject-specific data repository for chemistry are daunting. Combining a multitude of non-standard data formats for chemicals, related properties, reactions, spectra etc., together with the confusion of licensing and embargoing, and providing for data exchange and integration with services and platforms external to the repository, the challenge is significant. This all at a time when semantic technologies are touted as the fundamental technology to enhance integration and discoverability. Funding agencies are demanding change, especially a change towards access to open data to parallel their expectations around Open Access publishing. The Royal Society of Chemistry has been funded by the Engineering and Physical Science Research of the UK to deliver a “chemical database service” for UK scientists. This presentation will provide an overview of the challenges associated with this project and our progress in delivering a chemistry repository capable of handling the complex data types ssociated with chemistry. The benefits of such a repository in terms of providing data to develop prediction models to further enable scientific discovery will be discussed and the potential impact on the future of scientific publishing will also be examined.
The Center for Expanded Data Annotation and Retrieval (CEDAR) has developed a suite of tools and services that allow scientists to create and publish metadata describing scientific experiments. Using these tools and services—referred to collectively as the CEDAR Workbench—scientists can collaboratively author metadata and submit them to public repositories. A key focus of our software is semantically enriching metadata with ontology terms. The system combines emerging technologies, such as JSON-LD and graph databases, with modern software development technologies, such as microservices and container platforms. The result is a suite of user-friendly, Web-based tools and REST APIs that provide a versatile end-to-end solution to the problems of metadata authoring and management. This talk presents the architecture of the CEDAR Workbench and focuses on the technology choices made to construct an easily usable, open system that allows users to create and publish semantically enriched metadata in standard Web formats.
This document discusses ChemSpider, an online database of chemical compounds. It summarizes ChemSpider's capabilities, including searching by mass or formula for structure identification. ChemSpider contains over 34 million chemicals from various sources that can be searched and filtered. The document outlines how ChemSpider provides value to mass spectrometrists and discusses efforts to integrate more spectral data like NMR spectra directly into ChemSpider from publications and individual submissions. Future goals include hosting over a million spectra online and improving visualization of spectral data.
ICIC 2013 Conference Proceedings Antony Williams Royal Society of ChemistryDr. Haxel Consult
The Big Data Challenges Associated with Building a National Data Repository for Chemistry
Antony Williams (Royal Society of Chemistry , USA)
At a time when the data explosion has simply been redefined as “Big”, the hurdles associated with building a subject-specific data repository for chemistry are daunting. Combining a multitude of non-standard data formats for chemicals, related properties, reactions, spectra etc., together with the confusion of licensing and embargoing, and providing for data exchange and integration with services and platforms external to the repository, the challenge is significant. This all at a time when semantic technologies are touted as the fundamental technology to enhance integration and discoverability. Funding agencies are demanding change, especially a change towards access to open data to parallel their expectations around Open Access publishing. The Royal Society of Chemistry has been funded by the Engineering and Physical Science Research of the UK to deliver a “chemical database service” for UK scientists. This presentation will provide an overview of the challenges associated with this project and our progress in delivering a chemistry repository capable of handling the complex data types associated with chemistry. The benefits of such a repository in terms of providing data to develop prediction models to further enable scientific discovery will be discussed and the potential impact on the future of scientific publishing will also be examined.
This document provides an overview of Europe PubMed Central, a repository for life science literature built in collaboration with PubMed Central USA and Canada. It contains over 28 million abstracts and 2.5 million full text articles, with 600k open access articles. The document outlines reasons to use Europe PMC including integrated searching of abstracts and full text, semantic enrichment of text, and citation linking. It also discusses providing credit for authors, funders, and data through features like author search and linking publications to ORCID profiles. Tools are being developed for database curators to monitor when data is cited in articles.
The phrase “Big Data” is generally used to describe a large volume of structured and/or unstructured data that cannot be processed using traditional database and software techniques. In the domain of chemistry the Royal Society of Chemistry certainly hosts large structured databases of chemistry data, for example ChemSpider, as well as unstructured content, in the form of our collection of scientific articles. Our research literature provides value to their readership and, at present, as an example of one of our databases, ChemSpider is accessed by many tens of thousands of scientists every day. But do these collections constitute “Big Data” or is it the potential which lies within the collections that can contribute to the Big Data movement. This presentation will discuss our activities to contribute both data, and service-based access to our data sets, to support grant-based projects such as the Innovative Medicines Initiative Open PHACTS project (to support drug discovery) and the PharmaSea initiative (to identify novel natural products from the ocean). We will also provide an overview of our activities to perform data mining of public patent collections and examine what can be done with the data. We are presently extracting physicochemical properties and textual forms of NMR spectra and, with the resulting data, are building predictive models (for melting points at present) and assembling a large NMR spectral database containing many hundreds of thousands of spectral-structure pairs. Our experiences to date have demonstrated that we are working at the edge of current algorithmic and computing capabilities for predictive model building, with over a quarter of a million melting points producing a matrix of over 200 billion descriptors. Our work to produce the NMR spectral database will necessitate batch processing of the data to examine consistency between the spectral-structure pairs and other forms of data validation. The intention is to take our experiences in this work applied to a public patents corpus and apply it to the RSC back file of publications to mine data and enable new paths to the discoverability of both data and the associated publications.
The Royal Society of Chemistry has provided access to data associated with millions of chemical compounds via our ChemSpider database for over 5 years. During this period the richness and complexity of the data has continued to expand dramatically and the original vision for providing an integrated hub for structure-centric data has been delivered across the world to hundreds of thousands of users. With an intention of expanding the reach to cover more diverse aspects of chemistry-related data including compounds, reactions and analytical data, to name just a few data-types, we are in the process of implementing a new architecture to build a Chemistry Data Repository. The data repository will manage the challenges of associated metadata, the various levels of required security (private, shared and public) and exposing the data as appropriate using semantic web technologies. Ultimately this platform will become the host for all chemicals, reactions and analytical data contained within RSC publications and specifically supplementary information. This presentation will report on how our efforts to manage chemistry related data has impacted chemists and projects across the world and will review specifically our contributions to projects involving natural products for collaborators in Brazil and China, for the Open Source Drug Discovery project in India, and our collaborations with scientists in Russia.
Dealing with the complex challenge of managing diverse chemistry data onlineKen Karapetyan
This document discusses the challenges of managing chemistry data online and the development of an open data repository to address these challenges. It proposes a new architecture for a data repository that would integrate diverse chemistry data types through APIs and user interfaces. The repository would standardize data, enable deposition from various sources, and provide metrics and recognition to encourage participation. However, challenges remain around data formats, encouraging data sharing, and meeting scientists' needs. The document advocates for continued testing and collaboration to develop effective solutions.
The application of cloud computing to royal society of chemistry data platformsValery Tkachenko
Cloud computing offers significant advantages for the hosting of RSC chemistry databases in terms of reliability, performance and access to large scale computational power. The ChemSpider database contains almost 30 million unique chemical compounds and access to compute power to regenerate properties and add new properties is essential for efficient delivery on a manageable timescale. The use of cloud-based facilities reduces the needs for internal infrastructure and enhances performance generally at the cost of significant recoding of the platforms. This presentation will review our move of our ChemSpider related projects to the cloud, the associated challenges and both the obvious and unforeseen benefits. We will also discuss our use of parallelization technologies for mass calculation using Hadoop.
This document provides an overview of data integration in biology, including why it is needed, common problems, and popular approaches. It discusses the many different biological data sources and standards that have been developed for integration. Different architectures for data integration are described, including data warehousing, federation, and view integration. Key variables that affect integration like scope, domain, and interfaces are outlined. Important standards, ontologies, guidelines and tools that support integration are also reviewed.
This document summarizes a presentation given by Christa Burns from OCLC about updates and new developments. It notes that OCLC has over 69,000 member libraries in 112 countries. It then summarizes some of the new initiatives and programs discussed, including the new governance structure, WorldCat Local pilot program, increased ebook offerings, and partnerships to share library data with Google and load national library records from countries around the world into WorldCat. It concludes by emphasizing OCLC's goal of further connecting the world's libraries through more collaboration, members, countries, and innovation.
ChemSpider – disseminating data and enabling an abundance of chemistry platformsKen Karapetyan
ChemSpider is one of the chemistry community’s primary public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data to many tens of websites and software applications at this point. This presentation will provide an overview of the expanding reach of the ChemSpider platform and the nature of solutions that it helps to enable. We will also discuss some of the future directions for the project that are envisaged and how we intend to continue expanding the impact for the platform.
Ontology Web Services for Semantic Applications Trish Whetzel
The document summarizes the Ontology Web Services provided by the National Center for Biomedical Ontology (NCBO) including the BioPortal Ontology Web services, NCBO Annotator Web service, and NCBO Resource Index Web service. These services allow programmatic access and traversal of ontologies, annotation of text with ontology terms, and searching of public biomedical data repositories indexed with ontology terms. The services aim to facilitate integration and interpretation of biomedical data on the Semantic Web.
Prototype Phase Kick-off Event and CeremonyArchiver
On Monday 7 December 2020, the selected consortia for the ARCHIVER prototype phase have been announced during a Public Award Ceremony.
The Kick-off marks the beginning of the Prototype implementation Phase, where the three selected to move forward will build prototypes of their solutions including all components, and basic functionality, interoperability, and security tests will be performed by IT specialists from the buyers’ group.
This document summarizes statistics from CrossRef including that they index over 38 million content items from 527 publishers and screen over 80,000 documents per month. It also outlines features of CrossRef like CrossMark which tracks updates to articles and has over 270,000 deposits and 2,700 updates. Finally, it lists some publisher members that participate in CrossRef like major publishers Elsevier, Wiley, and Cambridge University Press.
ICIC 2017: Tutorial - Digging bioactive chemistry out of patents using open r...Dr. Haxel Consult
Christopher Southan (The IUPHAR/BPS Guide to PHARMACOLOGY, UK)
While the raison d'être of patents is Intellectual Property (IP) there is a growing awareness of the scientific value of their data content. This is particularly so in medicinal chemistry and associated bioactivity domains where disclosed compounds and associated data not only exceeds that published in papers by several-fold and surfaces years earlier, but is also, paradoxically; completely open (i.e. no paywalls). Scientists have traditionally extracted their own relationships or used commercial sources but the last few years have seen a “big bang” in patent extractions submitted to open databases, including nearly 20 million structures now in PubChem.
This tutorial will:
Outline the statistics of patent chemistry in various open sources
Introduce a spectrum of open resources and tools
Enable an understanding of target identification, bioactivity and SAR extraction from patents and connecting these relationships to papers
Cover aspects of medicinal chemistry patent mining
Include hands on exercises using open source antimalarial research as examples
The focus will be on public databases and patent office portals, since these can be transparently demonstrated. However, the essential complementarity with commercial resources will be touched on. Those engaged in Competitive Intelligence will also find the material relevant.
An Overview of the iMicrobe Project and available tools in the iPlant Cyberinfrastructure. This talk was given at a workshop at ASLO in Granada, Spain focused on applications in Oceanography and Limnology.
Semantic Web & Web 3.0 empowering real world outcomes in biomedical research ...Amit Sheth
Talk presented in Spain (WiMS 2013/UAM-Madrid, UMA-Malaga), June 2013.
Replaces earlier version at: http://www.slideshare.net/apsheth/semantic-technology-empowering-real-world-outcomes-in-biomedical-research-and-clinical-practices
Biomedical and translational research as well as clinical practice are increasingly data driven. Activities routinely involve large number of devices, data and people, resulting in the challenges associated with volume, velocity (change), variety (heterogeneity) and veracity (provenance, quality). Equally important is to realize the challenge of serving the needs of broader ecosystems of people and organizations, extending traditional stakeholders like drug makers, clinicians and policy makers, to increasingly technology savvy and information empowered patients. We believe that semantics is becoming centerpiece of informatics solutions that convert data into meaningful, contextually relevant information and insights that lead to optimal decisions for translational research and 360 degree health, fitness and well-being.
In this talk, I will provide a series of snapshots of efforts in which semantic approach and technology is the key enabler. I will emphasize real-world and in-use projects, technologies and systems, involving significant collaborations between my team and biomedical researchers or practicing clinicians. Examples include:
• Active Semantic Electronic Medical Record
• Semantics and Services enabled Problem Solving Environment for T.cruzi (SPSE)
• Data Mining of Cardiology data
• Semantic Search, Browsing and Literature Based Discovery
• PREscription Drug abuse Online Surveillance and Epidemiology (PREDOSE)
• kHealth: development of a knowledge-enhanced sensing and mobile computing applications (using low cost sensors and smartphone), along with ability to convert low level observations into clinically relevant abstractions
Further details are at http://knoesis.org/amit/hcls
Connecting life sciences data at the European Bioinformatics InstituteConnected Data World
Tony Burdett's slides from his talk at Connected Data London. Tony is a Senior Software Engineer at The European Bioinformatics Institute. He presented the complexity of data at the EMBL-EBI and what is their solution to make sense of all this data.
Biological databases store and organize large amounts of biological data for research use. There are many types of biological databases that classify data by type, such as nucleotide sequences, protein sequences, genomes, protein structures, gene expression, and metabolic pathways. Databases can also be classified by their data source as primary databases containing experimental results or secondary databases that analyze primary database results. Database availability varies, with some publicly open and others proprietary. Common biological databases discussed include GenBank, UniProt, PDB, KEGG, and FlyBase.
This document discusses data integration in bioinformatics. It begins by explaining why data integration is needed due to the large number of specialized databases and diversity of data types. It then defines data integration as combining data from different sources into a unified view. Some of the challenges of data integration mentioned include different data schemas, interfaces and vocabularies between databases. Several common approaches to data integration are described, including data centralization, federated databases and view integration. Important variables that affect integration approaches are also outlined, such as the domain, architecture and query interface. Finally, some examples of commonly used tools for tasks like workflow management, web services and format standards are provided.
Health Datapalooza IV: June 3rd-4th, 2013
Open Government Data
Moderator:
George Thomas, Enterprise Architect, Office of the Chief Information Officer (CIO), U.S. Department of Health & Human Services
Speakers:
John Erickson, Director of Web Science Operations, Tetherless Word Constellation, Rensselaer Polytechnic Institute
James P. McCusker, Ph.D Student, Dept. of Computer Science, Rensselaer Polytechnic Institute
Mark Musen, Professor, Stanford University and Principal Investigator, National Center for Biomedical Ontologies
Natasha Noy, Senior Research Scientist, Stanford University and Executive Committee Member, National Center for Biomedical Ontologies
Michael Pendleton, Linked Open Data Manager, US Environmental Protection Agency
The session will open with an overview of trends affecting open data sharing, including ‘broad data’ challenges that emerge when application developers have millions of open government datasets available. We will explore issues of web-scale data discovery, rapid and potentially ad hoc integration, visualization, and analysis of partially modeled datasets as well as issues arising from combining different data use policies. We will present emerging solution standards and transitioning academic technologies, including innovative work conducted by the ‘Watson’ research group at Rensselaer Polytechnic Institute on using Watson as a ‘data advisor’. Panelists will synthesize session topics including optimal steps toward an open health knowledge graph facilitating ‘data liquidity’ (as defined by the ability to easily combine and refine data from disparate publishers). Panelists will discuss enabling the implementation of effective ‘lifting schemes’ by leveraging ‘collaboration without coordination’ processes to produce efficient data access techniques that drive innovative new application development tools, products, and services.
Similar to Literature-data integration in the life sciences – Jo McEntyre, EMBL-EBI (20)
10th OpenAIRE Content Providers Community CallOpenAIRE
The document discusses OpenAIRE's Usage Counts service, which tracks usage and collects COUNTER reports to provide analytics on the usage of research outputs. It introduces the new architecture and workflows that power the service, and shows examples of usage counts data in action for content providers and individual research items. Finally, it outlines the future plans for the service, including counting more research products, moving to the latest COUNTER standards, offering additional analytics, and building a Usage Counts Hub.
OpenAIRE Content Providers Community Call, November 4th, 2020
This call was focused on the PROVIDE future developments, functionalities wishlist and PROVIDE service in EOSC.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Recordings: https://youtu.be/wY4fOS767Us
Follow the Community activities at https://www.openaire.eu/provide-community-calls
OpenAIRE in the European Open Science Cloud (EOSC)OpenAIRE
Openness is the success factor for EOSC. OpenAIRE has been working in delivering an open access scholarly communication in Europe for the past 10 years and we now present how our work fits into the EOSC core developments
OpenAIRE Content Providers Community Call, October 7th, 2020
This call was focused on the OpenAIRE Broker Service, specifying how the service works to deploy the enrichment events to the Content Providers managers.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Recording: https://youtu.be/3sF4B58EGcs
Follow the Community activities at https://www.openaire.eu/provide-community-calls
OpenAIRE Content Providers Community Call, July 1st, 2020
This call was focused on Data Repositories namely the OpenAIRE Research Graph and Data Repositories, the OpenAIRE Content Acquisition Policy, and the Guidelines for Data Archive Managers.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Follow the Community activities at https://www.openaire.eu/provide-community-calls
Open Research Gateway for the ELIXIR-GR Infrastructure (Part 3)OpenAIRE
This document provides an overview of the Open Research Gateway for the ELIXIR-GR infrastructure. It discusses how the gateway acts as a single entry point to all research products from ELIXIR-GR, including publications, datasets, software, and more. Researchers can deposit and link their work through the gateway to practice open science. Statistics, reporting, and APIs are also available to monitor impact and advance open research. The team behind the gateway is working to improve customization and user guidance to better support the ELIXIR-GR community.
Open Research Gateway for the ELIXIR-GR Infrastructure (Part 2)OpenAIRE
OpenAIRE is a European infrastructure that helps stakeholders comply with open access policies by providing tools and services. It operates repositories, dashboards, and tools to help share and reuse research outputs in accordance with FAIR principles. OpenAIRE also coordinates activities through national open access desks and outreach to promote open science practices. Researchers can use OpenAIRE to publish open access works, deposit data, write data management plans, and link research outputs.
Open Research Gateway for the ELIXIR-GR Infrastructure (Part 1)OpenAIRE
The Research Data Alliance (RDA) is an international organization focused on data sharing across disciplines. It has over 8,600 members from 137 countries working to reduce barriers to data sharing through developing infrastructure and community activities. RDA has numerous active interest groups and working groups focused on issues like specific scientific domains, data reference and sharing, community needs, data stewardship, and basic infrastructure. One recent focus is guidelines for data sharing during the COVID-19 pandemic.
1) A new version of the OpenAIRE Provide dashboard demo is available.
2) Several speakers shared use cases of the OpenAIRE Provide service, including from OpenstarTs, Serbian repositories, the University of Minho, and the Universidade Católica Portuguesa.
3) The agenda concluded with an invitation for comments and questions.
20200504_OpenAIRE Legal Policy Webinar: GDPR and Sharing DataOpenAIRE
Presentation by Jacques Flores Dourojeanni (Research Data Management Consultant Utrecht University Library), as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200504_Research Data & the GDPR: How Open is Open?OpenAIRE
Presentation by Prodromos Tsiavos (Senior Legal Advisor - ARC/ Director - Onassis Group) as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200504_Data, Data Ownership and Open ScienceOpenAIRE
Presentation by Thomas Margoni (Senior Lecturer in Intellectual Property and Internet Law, Co-director, CREATe, University of Glasgow) as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200429_Research Data & the GDPR: How Open is Open? (updated version)OpenAIRE
This document discusses how the General Data Protection Regulation (GDPR) applies to scientific research. It defines key GDPR concepts, explains how scientific research is defined under the regulation, and discusses the legal bases and purposes that can justify data processing for research. It also addresses how data subject rights may be limited for research purposes, and analyzes several cases involving issues like data sharing, further processing of data, and handling of health and publicly available data in the context of research.
20200429_Data, Data Ownership and Open ScienceOpenAIRE
Presentation by Thomas Margoni (Senior Lecturer in Intellectual Property and Internet Law, Co-director, CREATe, University of Glasgow) as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200429_OpenAIRE Legal Policy Webinar: GDPR and Sharing DataOpenAIRE
Presentation by Jacques Flores Dourojeanni (Research Data Management Consultant Utrecht University Library), as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
COVID-19: Activities, tools, best practice and contact points in GreeceOpenAIRE
Presentation from the webinar organized by the Greek OpenAIRE and RDA Nodes (Athena RC) and Elixir-GR to inform participants of EU and national efforts, in collaboration with the following research organizations: Flemming, CERTH, HEAL-Link, Demokritos, Univ. of Athens (Medical School).
Presentation of the 2nd Content Providers Community Call, targeting the following topics: 1) OpenAIRE Content provider dashboard updates; Main topic: DSpace-CRIS for OpenAIRE: implementation of the CRIS guidelines and beyond; 3) Community questions & comments.
Presentation of the 2nd Content Providers Community Call, targeting the following topics: 1) OpenAIRE Content provider dashboard updates;
2) OpenAIRE aggregation and enrichment processes: specifications and good practices;
3) Community questions & comments.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
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4. Data Landscape and Definitions
Research
articles
Funder mandates
Journal requirements
Metadata
Standards
Big Data:
Deposition
Primary
Unstructured
Data
*reuse
Big Data:
Curated
Annotation
6. 40000
300
European Nucleotide Archive
Ensembl and Ensembl Genomes
250
35000
30000
Genomes
• Big data
• Thematic data
• Public data
• Archived data
Nucleotides (millions)
45000
25000
20000
15000
200
150
100
10000
50
5000
0
0
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Year
14000000
12000000
25000
UniProt
Year
InterPro
Entries
10000000
8000000
6000000
15000
10000
4000000
5000
2000000
0
0
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Year
Year
500000
450000
70000
ArrayExpress
60000
400000
Structures
Hybridisations
• Two petabytes of data
• Scales to 7 pbs raw disk
• Majority is DNA
Entries
20000
350000
300000
250000
200000
150000
PDBe
50000
40000
30000
20000
100000
10000
50000
0
0
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Year
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Year
7. Two core literature databases
•
26 million abstracts
PubMed, Patents, Agricola
•
Website and web services
•
•
•
Citation networks
Database links
Whatizit textmining
• over 1.1 million new records per year
•
2.2 million full text articles
(217K articles with suppl data)
•
Website
•
•
Supplemented by CiteXplore
Additional text mining
• over 150K new articles per year
8. UK PubMed Central Overview
• Built in collaboration with PubMed Central USA (+ PMC Canada) since
2006
• Led by the European Bioinformatics Institute since 2011, with the
British Library, and the University of Manchester
• Supported by 16 UK and 2 European Funders, led by the Wellcome
Trust. Research spend: ~ 2 billion GBP
• A life-science web-based repository
• Manuscript submission service (self archiving by grant holders)
• Database of grant information – with details of about 18000 PIs
• Grant reporting and funder analysis tool
• 250K requests, 40K IPs, 7K direct interactive searches per day
11. Links
• by the author - on submission, as metadata (primary databases)
• by database curators - information and links from the
literature
• expensive, slow, but high quality
Text mining
• by algorithms that use terminologies (can be subject to lag)
• post publication – can find new associations
• variable quality, but high throughput
12. Links from Literature to Databases
•
•
•
•
•
•
•
•
•
800 K
370 K
110 K
Proteins
Nucleotides
OMIM
Chemicals
Structure
Clinical reviews
Protein families
Protein-protein interactions
Gene expression experiments …
13. Text Mining in UKPMC (2.2 million articles)
Semantic Type
Gene/Protein
Unique Terms
Articles
Annotations
225,905
1,288,809
15,021,502
GO Terms
32,486
1,806,539
15,016,957
Organism
178,847
1,689,251
12,322,782
Disease
170,592
1,743,212
16,201,198
Accession No.
232,950
65,640
331,329
76,350
1,669,500
22,438,980
Chemical
25. Data-driven science
Data re-use: biology is
post publication
Linking: citing papers
and data (provenance
and integration)
Metrics and attribution
Hard decisions about
value of keeping
complete data sets
26. Data landscape - possibilities
analysis
Research
articles
Unstructured
Data
Structured links
Big Data:
Deposition
Primary
Big Data:
Curated
Annotation
reuse?