#PIDapalooza presentation in Reykjavik, Iceland on 10 Nov 2016. Persistent identifiers as an ingredient for machine-actionable data management plans. @TheDMPTool @DMPonline
Initially prepared for the CERN/RDA workshop on Active Data Management Plans (28-30 June 2016). Also presented in Denver at International Data Week (12-17 Sept 2016).
Supported by NSF and CASC, these slides are from the workshop that brought together research computing communities, funding agencies, and leading experts in data management to reflect on what has been accomplished to date related to data management, share achievements and opportunities for further contributions moving forward.
Globus Director of Product Management and Design, Rachana Ananthakrishnan, moderated a panel on "Selected Examples of RDMI" September 15, 2017.
Elephant in the Room: Scaling Storage for the HathiTrust Research CenterRobert H. McDonald
This document summarizes a presentation about scaling storage for the HathiTrust Research Center. The HTRC is a collaborative research center between Indiana University and University of Illinois that enables text data mining of the HathiTrust Digital Library. It discusses the mission and goals of HTRC, its partnerships with HathiTrust universities, and the services and tools it provides researchers. It also outlines the large amount of content in HathiTrust, HTRC's non-consumptive research paradigm, and its data and storage architecture to support terabyte-scale analysis of public domain and in-copyright texts.
Jana Parvanova, Vladimir Alexiev and Stanislav Kostadinov. In workshop Collaborative Annotations in Shared Environments: metadata, vocabularies and techniques in the Digital Humanities (DH-CASE 2013). Collocated with DocEng 2013. Florence, Italy, Sep 2013.
Adoption of RDA DTR and PID in Deep Carbon Observatory Data PortalXiaogang (Marshall) Ma
The Deep Carbon Observatory (DCO) community is building a cyber-enabled platform for linked science, made available to the community by a multi-institutional data portal. Persistent identifiers and domain specific data types have been identified as key technological issues the portal must address. This presentation focuses on the DCO portal’s planned adoption of RDA DTR and PID methodologies and technologies as a means to address the DCO community's need for persistently identifiable and understandable data type information.
This document discusses challenges with text and data mining (TDM) projects, including spending 90% of time collecting and preprocessing data due to the magnitude and heterogeneity of data. It analyzes access to scientific literature, finding transactional and some analytical access but no programmatic/raw data access from major sources. APIs provide some but not full access and data dumps are difficult to store, analyze and share. True unrestricted access is needed for TDM tasks like text summarization. Legal barriers and skills gaps also impede TDM. The document proposes an openMinTed framework as a solution with interoperable data and algorithms in a legally safe and trusted environment.
Initially prepared for the CERN/RDA workshop on Active Data Management Plans (28-30 June 2016). Also presented in Denver at International Data Week (12-17 Sept 2016).
Supported by NSF and CASC, these slides are from the workshop that brought together research computing communities, funding agencies, and leading experts in data management to reflect on what has been accomplished to date related to data management, share achievements and opportunities for further contributions moving forward.
Globus Director of Product Management and Design, Rachana Ananthakrishnan, moderated a panel on "Selected Examples of RDMI" September 15, 2017.
Elephant in the Room: Scaling Storage for the HathiTrust Research CenterRobert H. McDonald
This document summarizes a presentation about scaling storage for the HathiTrust Research Center. The HTRC is a collaborative research center between Indiana University and University of Illinois that enables text data mining of the HathiTrust Digital Library. It discusses the mission and goals of HTRC, its partnerships with HathiTrust universities, and the services and tools it provides researchers. It also outlines the large amount of content in HathiTrust, HTRC's non-consumptive research paradigm, and its data and storage architecture to support terabyte-scale analysis of public domain and in-copyright texts.
Jana Parvanova, Vladimir Alexiev and Stanislav Kostadinov. In workshop Collaborative Annotations in Shared Environments: metadata, vocabularies and techniques in the Digital Humanities (DH-CASE 2013). Collocated with DocEng 2013. Florence, Italy, Sep 2013.
Adoption of RDA DTR and PID in Deep Carbon Observatory Data PortalXiaogang (Marshall) Ma
The Deep Carbon Observatory (DCO) community is building a cyber-enabled platform for linked science, made available to the community by a multi-institutional data portal. Persistent identifiers and domain specific data types have been identified as key technological issues the portal must address. This presentation focuses on the DCO portal’s planned adoption of RDA DTR and PID methodologies and technologies as a means to address the DCO community's need for persistently identifiable and understandable data type information.
This document discusses challenges with text and data mining (TDM) projects, including spending 90% of time collecting and preprocessing data due to the magnitude and heterogeneity of data. It analyzes access to scientific literature, finding transactional and some analytical access but no programmatic/raw data access from major sources. APIs provide some but not full access and data dumps are difficult to store, analyze and share. True unrestricted access is needed for TDM tasks like text summarization. Legal barriers and skills gaps also impede TDM. The document proposes an openMinTed framework as a solution with interoperable data and algorithms in a legally safe and trusted environment.
TIB's action for research data managament as a national library's strategy in...Peter Löwe
The document discusses the TIB's strategy for research data management as a national library in the era of big data. It provides background on the TIB, including its size, budget, collections and networks. It then discusses key initiatives and projects related to research data management, including DataCite for assigning DOIs to datasets, the GOPORTIS library network, and the RADAR project which aims to create a research data repository. The goal is to improve access, discovery and preservation of research data by integrating datasets into the scholarly record through persistent identifiers and linking from publications.
The document discusses text and data mining (TDM) projects in Europe. It describes how TDM can be used to understand the past by mining historical books, predict the future by mining newspapers, and save lives by mining scientific publications about diseases. It also outlines some current barriers to TDM in Europe like a lack of awareness, skills and tools, licensing and copyright issues. Two EU projects are highlighted: FutureTDM which aims to identify TDM barriers and policy solutions, and OpenMinTeD which builds a collaborative TDM infrastructure.
OpenMinted: It's Uses and Benefits for the Social Sciencesopenminted_eu
Presentation as presented at the ITOC workshop in Philadelphia, 20 February 2016.
Uses and Benefits for the Social Sciences research community.
By GESIS - Leibniz Institute for the Social Sciences
Researchers require infrastructures that ensure a maximum of accessibility, stability and reliability to facilitate working with and sharing of research data. Such infrastructures are being increasingly summarised under the term Research Data Repositories (RDR). The project re3data.org – Registry of Research Data Repositories – began to index research data repositories in 2012 and offers researchers, funding organisations, libraries and publishers an overview of the heterogeneous research data repository landscape. In December 2014 re3data.org listed more than 1,030 research data repositories, which are described in detail using the re3data.org schema (http://dx.doi.org/10.2312/re3.003). Information icons help researchers to identify easily an adequate repository for the storage and reuse of their data. This talk describes the heterogeneous RDR landscape and presents a typology of institutional, disciplinary, multidisciplinary and project-specific RDR. Further, it outlines the features of re3data. org and it shows current developments for integration into data management planning tools and other services.
By the end of 2015 re3data.org and Databib (Purdue University, USA) will merge their services, which will then be managed under the auspices of DataCite. The aim of this merger is to reduce duplication of effort and to serve the research community better with a single, sustainable registry of research data repositories. The talk will present this organisational development as a best practice example for the development of international research information services.
OpenMinTeD: Making Sense of Large Volumes of Dataopenminted_eu
The document discusses making scientific content more accessible and useful through text and data mining. It notes that the global research community generates over 1.5 million new articles per year but many are never read or cited. Emerging solutions like machine reading, understanding and predicting can help structure and mine textual data to extract meaningful insights. The OpenMinted project aims to establish an open text and data mining platform and infrastructure for researchers to collaboratively work with scientific sources. It outlines challenges around content, services and processing as well as main routes to make content more accessible through metadata, transfer protocols and licensing. The project involves various partners and use cases across domains like scholarly communication, life sciences, agriculture and social sciences.
DataCite and its DOI infrastructure - IASSIST 2013Frauke Ziedorn
- DataCite is an international consortium that aims to make research data citable and accessible by establishing a system for minting DOIs (Digital Object Identifiers) for research data.
- DataCite has grown to include 17 member organizations from 12 countries that work with the Technical Information Library (TIB) to register over 1.5 million DOIs for research data.
- The DataCite metadata schema, based on Dublin Core, requires core metadata for DOI registration and encourages linking related publications, data, and other research objects to facilitate discovery and access.
Presentation reporting the current situation and projected requirements for the University of Bristol, delivered at the Jisc, Janet and the Digital Curation Centre (DCC) workshop on universities' Research Data Management Storage Requirements, February 2013, London.
How can repositories support the text mining of their content and why?openminted_eu
This document discusses how repositories can support text and data mining (TDM) of their content. It provides three principles for repositories to follow: (1) establish direct links from metadata to the full text content, (2) provide universal access to harvesting systems at the same level as humans, and (3) ensure metadata is correctly referenced and content is accessible. The role of repositories is to aggregate research papers at full text to enable large-scale TDM by external services. However, many repositories currently do not fully support this due to issues like incomplete metadata records and non-dereferenceable identifiers.
re3data.org – a Registry of Research Data RepositoriesHeinz Pampel
re3data.org is a global registry of research data repositories that aims to promote open sharing of research data. It indexes repositories from all academic disciplines to help researchers, funders, publishers, and institutions find appropriate places to store and share research data. The registry has grown significantly since its founding and now indexes over 1,000 repositories. It is a collaborative effort between several German and American institutions and works with other organizations to advance open data policies.
This document discusses re3data.org, a global registry of research data repositories. It was created to help researchers, funders, publishers, and institutions find appropriate repositories to store and share research data. The registry launched in 2012 and currently lists over 300 research data repositories from around the world. Each repository is described using a standardized metadata schema with 37 criteria covering aspects like access, file types, certification, and geographic coverage. The goal of the registry is to promote a culture of open data sharing and increased access to research findings. It aims to help address the challenges of the growing number and heterogeneity of research data repositories.
OzNome - Interoperable data as an example of FAIR data principlesfairARDC
Simon Cox, David Lemon, Jonathan Yu (CSIRO) present on how they have made the research data in the OzNome project Interoperable, not only for humans, but also for machines
This is #3 in the FAIR data webinar series: INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles
Full recording:on YouTube: https://youtu.be/MeFl9WrtG20
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-fair-3-iforinteroperable13917
20160818 Semantics and Linkage of Archived Catalogsandrea huang
1. The document discusses representing archive catalog data as linked data using semantic web technologies. It involves mapping catalog metadata from XML and CSV formats to RDF and linking to external vocabularies.
2. A system is presented that converts archive catalogs to linked data, stores it using CKAN and provides SPARQL querying. It allows browsing catalog records, performing spatial and temporal queries.
3. An ontology called voc4odw is introduced for organizing open data. It is based on the R4R ontology and aims to semantically enrich catalog records by linking objects, events, places and times using common vocabularies.
10-1-13 “Research Data Curation at UC San Diego: An Overview” Presentation Sl...DuraSpace
“Hot Topics: The DuraSpace Community Webinar Series, " Series Six: Research Data in Repositories” Curated by David Minor, Research Data Curation Program, UC San Diego Library. Webinar 1: “Research Data Curation at UC San Diego: An Overview”
Presented by David Minor & Declan Fleming, Chief Technology Strategist, UC San Diego Library
EDF2014: Daniel Vila-Suero, Researcher, Ontology Engineering Group, Universid...European Data Forum
Selected Talk of Daniel Vila-Suero, Researcher, Ontology Engineering Group, Universidad Politecnica de Madrid, Spain at the European Data Forum 2014, 19 March 2014 in Athens, Greece: 3LD: Towards high quality, industry-ready Linguistic Linked Licensed Data
The ANU Data Commons is a repository for research data sets created and owned by ANU researchers. It allows researchers to deposit, update, and publish their data sets to Research Data Australia while retaining ownership. The Data Commons is built on projects to identify existing data sets and capture new data as it is generated. It uses Fedora Commons technology with access controls and an interface for uploading data. Deposited data receives backup storage and there are no limits on size or type. The Data Commons is in open beta and aims to work with researchers to populate the repository and Research Data Australia with at least 50 data sets.
re3data.org – Registry of Research Data RepositoriesHeinz Pampel
Heinz Pampel | GFZ German Research Centre for Geosciences, LIS
Maxi Kindling | Humboldt-Universität zu Berlin, Berlin School of Library and Information Science Frank Scholze | Karlsruhe Institute of Technology, KIT Library
RDA-Deutschland-Treffen 2015| Potsdam, November 26, 2015
This document discusses challenges and solutions related to digital preservation of large datasets from government archives. It describes the E-ARK project, which aims to provide better access and integration of archival storage systems with big data technologies for national archives across the EU. The project involves 16 partners including 5 archives, 4 research institutions, and 3 SMEs. It will develop and pilot test a data management application integrated with scalable storage and computation to enable long-term preservation, access, and reuse of archival data. Key challenges addressed include managing heterogeneous and increasing volumes of data and ensuring access over long periods of time.
GIS Day 2015: Geoinformatics, Open Source and Videos - a library perspectivePeter Löwe
Digital audiovisual content has become an important communication channel in Science. The TIB|AV-Portal for audiovisual scientific-technical information meets the requirements to preserve such content and to provide innovative services for search and retrieval. Quality checked audiovisual content from Open Source Geoinformatics communities is constantly being acquired for the portal as a part of TIB's mission to preserve relevant content in applied computer sciences for science, industry, and the general public.
This document discusses provenance standards and information. It covers:
- Why provenance is important for reproducibility in science. Provenance tracks how data was produced and versions of software/tools used.
- Current provenance standards include PROV, which introduced a provenance data model and ontology for describing the provenance of data.
- Docker can contain some provenance information and allow distributing software and data while tracking versions. Provenance information needs to be kept up-to-date for data, tools, and workflows as they change over time.
- Challenges include tracking provenance of distributed Docker images and transmitting provenance between repositories and linked open data formats.
1) Postgres and PostGIS have been used at EDINA for over 8 years to power major geospatial services like Digimap.
2) It is used for data storage, mapping, spatial indexing, querying, and data downloads. Postgres allows EDINA to handle large amounts of geospatial data and large user bases.
3) EDINA finds Postgres reliable, performant, scalable, and standards-compliant with good support tools. It will continue being the core database for EDINA's geoservices.
TIB's action for research data managament as a national library's strategy in...Peter Löwe
The document discusses the TIB's strategy for research data management as a national library in the era of big data. It provides background on the TIB, including its size, budget, collections and networks. It then discusses key initiatives and projects related to research data management, including DataCite for assigning DOIs to datasets, the GOPORTIS library network, and the RADAR project which aims to create a research data repository. The goal is to improve access, discovery and preservation of research data by integrating datasets into the scholarly record through persistent identifiers and linking from publications.
The document discusses text and data mining (TDM) projects in Europe. It describes how TDM can be used to understand the past by mining historical books, predict the future by mining newspapers, and save lives by mining scientific publications about diseases. It also outlines some current barriers to TDM in Europe like a lack of awareness, skills and tools, licensing and copyright issues. Two EU projects are highlighted: FutureTDM which aims to identify TDM barriers and policy solutions, and OpenMinTeD which builds a collaborative TDM infrastructure.
OpenMinted: It's Uses and Benefits for the Social Sciencesopenminted_eu
Presentation as presented at the ITOC workshop in Philadelphia, 20 February 2016.
Uses and Benefits for the Social Sciences research community.
By GESIS - Leibniz Institute for the Social Sciences
Researchers require infrastructures that ensure a maximum of accessibility, stability and reliability to facilitate working with and sharing of research data. Such infrastructures are being increasingly summarised under the term Research Data Repositories (RDR). The project re3data.org – Registry of Research Data Repositories – began to index research data repositories in 2012 and offers researchers, funding organisations, libraries and publishers an overview of the heterogeneous research data repository landscape. In December 2014 re3data.org listed more than 1,030 research data repositories, which are described in detail using the re3data.org schema (http://dx.doi.org/10.2312/re3.003). Information icons help researchers to identify easily an adequate repository for the storage and reuse of their data. This talk describes the heterogeneous RDR landscape and presents a typology of institutional, disciplinary, multidisciplinary and project-specific RDR. Further, it outlines the features of re3data. org and it shows current developments for integration into data management planning tools and other services.
By the end of 2015 re3data.org and Databib (Purdue University, USA) will merge their services, which will then be managed under the auspices of DataCite. The aim of this merger is to reduce duplication of effort and to serve the research community better with a single, sustainable registry of research data repositories. The talk will present this organisational development as a best practice example for the development of international research information services.
OpenMinTeD: Making Sense of Large Volumes of Dataopenminted_eu
The document discusses making scientific content more accessible and useful through text and data mining. It notes that the global research community generates over 1.5 million new articles per year but many are never read or cited. Emerging solutions like machine reading, understanding and predicting can help structure and mine textual data to extract meaningful insights. The OpenMinted project aims to establish an open text and data mining platform and infrastructure for researchers to collaboratively work with scientific sources. It outlines challenges around content, services and processing as well as main routes to make content more accessible through metadata, transfer protocols and licensing. The project involves various partners and use cases across domains like scholarly communication, life sciences, agriculture and social sciences.
DataCite and its DOI infrastructure - IASSIST 2013Frauke Ziedorn
- DataCite is an international consortium that aims to make research data citable and accessible by establishing a system for minting DOIs (Digital Object Identifiers) for research data.
- DataCite has grown to include 17 member organizations from 12 countries that work with the Technical Information Library (TIB) to register over 1.5 million DOIs for research data.
- The DataCite metadata schema, based on Dublin Core, requires core metadata for DOI registration and encourages linking related publications, data, and other research objects to facilitate discovery and access.
Presentation reporting the current situation and projected requirements for the University of Bristol, delivered at the Jisc, Janet and the Digital Curation Centre (DCC) workshop on universities' Research Data Management Storage Requirements, February 2013, London.
How can repositories support the text mining of their content and why?openminted_eu
This document discusses how repositories can support text and data mining (TDM) of their content. It provides three principles for repositories to follow: (1) establish direct links from metadata to the full text content, (2) provide universal access to harvesting systems at the same level as humans, and (3) ensure metadata is correctly referenced and content is accessible. The role of repositories is to aggregate research papers at full text to enable large-scale TDM by external services. However, many repositories currently do not fully support this due to issues like incomplete metadata records and non-dereferenceable identifiers.
re3data.org – a Registry of Research Data RepositoriesHeinz Pampel
re3data.org is a global registry of research data repositories that aims to promote open sharing of research data. It indexes repositories from all academic disciplines to help researchers, funders, publishers, and institutions find appropriate places to store and share research data. The registry has grown significantly since its founding and now indexes over 1,000 repositories. It is a collaborative effort between several German and American institutions and works with other organizations to advance open data policies.
This document discusses re3data.org, a global registry of research data repositories. It was created to help researchers, funders, publishers, and institutions find appropriate repositories to store and share research data. The registry launched in 2012 and currently lists over 300 research data repositories from around the world. Each repository is described using a standardized metadata schema with 37 criteria covering aspects like access, file types, certification, and geographic coverage. The goal of the registry is to promote a culture of open data sharing and increased access to research findings. It aims to help address the challenges of the growing number and heterogeneity of research data repositories.
OzNome - Interoperable data as an example of FAIR data principlesfairARDC
Simon Cox, David Lemon, Jonathan Yu (CSIRO) present on how they have made the research data in the OzNome project Interoperable, not only for humans, but also for machines
This is #3 in the FAIR data webinar series: INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles
Full recording:on YouTube: https://youtu.be/MeFl9WrtG20
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-fair-3-iforinteroperable13917
20160818 Semantics and Linkage of Archived Catalogsandrea huang
1. The document discusses representing archive catalog data as linked data using semantic web technologies. It involves mapping catalog metadata from XML and CSV formats to RDF and linking to external vocabularies.
2. A system is presented that converts archive catalogs to linked data, stores it using CKAN and provides SPARQL querying. It allows browsing catalog records, performing spatial and temporal queries.
3. An ontology called voc4odw is introduced for organizing open data. It is based on the R4R ontology and aims to semantically enrich catalog records by linking objects, events, places and times using common vocabularies.
10-1-13 “Research Data Curation at UC San Diego: An Overview” Presentation Sl...DuraSpace
“Hot Topics: The DuraSpace Community Webinar Series, " Series Six: Research Data in Repositories” Curated by David Minor, Research Data Curation Program, UC San Diego Library. Webinar 1: “Research Data Curation at UC San Diego: An Overview”
Presented by David Minor & Declan Fleming, Chief Technology Strategist, UC San Diego Library
EDF2014: Daniel Vila-Suero, Researcher, Ontology Engineering Group, Universid...European Data Forum
Selected Talk of Daniel Vila-Suero, Researcher, Ontology Engineering Group, Universidad Politecnica de Madrid, Spain at the European Data Forum 2014, 19 March 2014 in Athens, Greece: 3LD: Towards high quality, industry-ready Linguistic Linked Licensed Data
The ANU Data Commons is a repository for research data sets created and owned by ANU researchers. It allows researchers to deposit, update, and publish their data sets to Research Data Australia while retaining ownership. The Data Commons is built on projects to identify existing data sets and capture new data as it is generated. It uses Fedora Commons technology with access controls and an interface for uploading data. Deposited data receives backup storage and there are no limits on size or type. The Data Commons is in open beta and aims to work with researchers to populate the repository and Research Data Australia with at least 50 data sets.
re3data.org – Registry of Research Data RepositoriesHeinz Pampel
Heinz Pampel | GFZ German Research Centre for Geosciences, LIS
Maxi Kindling | Humboldt-Universität zu Berlin, Berlin School of Library and Information Science Frank Scholze | Karlsruhe Institute of Technology, KIT Library
RDA-Deutschland-Treffen 2015| Potsdam, November 26, 2015
This document discusses challenges and solutions related to digital preservation of large datasets from government archives. It describes the E-ARK project, which aims to provide better access and integration of archival storage systems with big data technologies for national archives across the EU. The project involves 16 partners including 5 archives, 4 research institutions, and 3 SMEs. It will develop and pilot test a data management application integrated with scalable storage and computation to enable long-term preservation, access, and reuse of archival data. Key challenges addressed include managing heterogeneous and increasing volumes of data and ensuring access over long periods of time.
GIS Day 2015: Geoinformatics, Open Source and Videos - a library perspectivePeter Löwe
Digital audiovisual content has become an important communication channel in Science. The TIB|AV-Portal for audiovisual scientific-technical information meets the requirements to preserve such content and to provide innovative services for search and retrieval. Quality checked audiovisual content from Open Source Geoinformatics communities is constantly being acquired for the portal as a part of TIB's mission to preserve relevant content in applied computer sciences for science, industry, and the general public.
This document discusses provenance standards and information. It covers:
- Why provenance is important for reproducibility in science. Provenance tracks how data was produced and versions of software/tools used.
- Current provenance standards include PROV, which introduced a provenance data model and ontology for describing the provenance of data.
- Docker can contain some provenance information and allow distributing software and data while tracking versions. Provenance information needs to be kept up-to-date for data, tools, and workflows as they change over time.
- Challenges include tracking provenance of distributed Docker images and transmitting provenance between repositories and linked open data formats.
1) Postgres and PostGIS have been used at EDINA for over 8 years to power major geospatial services like Digimap.
2) It is used for data storage, mapping, spatial indexing, querying, and data downloads. Postgres allows EDINA to handle large amounts of geospatial data and large user bases.
3) EDINA finds Postgres reliable, performant, scalable, and standards-compliant with good support tools. It will continue being the core database for EDINA's geoservices.
La Luna tiene influencia en varios fenómenos naturales y biológicos. Las mareas ocurren cada 12 horas y 15 minutos debido a la gravedad de la Luna, creciendo y menguando 45 minutos cada día. Las plantas tienden a crecer durante la fase creciente y podarse durante la menguante. La pesca es más productiva durante las lunas nueva y llena. La luna también afecta procesos biológicos como el crecimiento del cabello y las uñas, y puede ser perjudicial para los nervios durante la luna llena. Los
Including kids in your ministry who struggle with anxietyKey Ministry
This presentation from Dr. Steve Grcevich looks at common signs and symptoms of anxiety in kids, how the environments in which we "do ministry" create barriers to church participation when kids have anxiety disorders, and examines the potential impacts of anxiety on spiritual development in kids.
A cover letter is submitted with a job application to explain the applicant's qualifications and interest in an open position. Since the cover letter and resume are often the only documents an employer sees, the cover letter is important for getting an interview. An effective cover letter highlights relevant experience and qualifications from the resume, expresses interest in the specific position, and shows how the applicant's skills meet the job requirements. A cover letter also includes contact information, is addressed to a specific person when possible, and is formatted with a header, opening paragraph, body paragraphs, and closing paragraph.
This document provides instructions for a clinical evaluation tool used to assess nursing students in RNSG 2360 - Level Four Clinical. It will be completed by clinical instructors at midterm (formative) and end of term (summative). Students are evaluated on 33 clinical behaviors across four categories: member of the profession, provider of patient-centered care, patient safety advocate, and member of the healthcare team. Students must score a minimum of 105.75 points out of 141 total to pass the clinical course. Critical behaviors marked with # and * must be met to pass. The evaluation uses a 4-point rating scale to score student performance of expected clinical behaviors.
Value&impact research dataservices_idcc_2017Neil Beagrie
This document outlines the development and contents of a Cost-Benefit Advocacy Toolkit being created as part of the CESSDA-SaW project to help social science data services demonstrate their value. It describes conducting a user requirements survey and focus groups with stakeholders. The toolkit will include factsheets on ROI, benefits and costs, worksheets, a Development Canvas tool, case studies and links to external tools. It was designed to be easy to use and allow customization. The goal is to help data services advocate for support by showing their economic and social impacts.
The document discusses the need for a W3C community group on RDF stream processing. It notes there is currently heterogeneity in RDF stream models, query languages, implementations, and operational semantics. The speaker proposes creating a W3C community group to better understand these differences, requirements, and potentially develop recommendations. The group's mission would be to define common models for producing, transmitting, and continuously querying RDF streams. The presentation provides examples of use cases and outlines a template for describing them to collect more cases to understand requirements.
"Data management plans 2.0: Helping you manage your data" - webinar delivered for DataONE monthly series. Main topics include machine-actionable data management plans and the newly launched DMPTool v3.
https://www.dataone.org/webinars/data-management-plans-20-helping-you-manage-your-data
The document summarizes the plans and activities of DRESD, a research group on dynamic reconfigurability in embedded system design at Politecnico di Milano. It discusses DRESD's research objectives, collaboration with other universities, involvement in teaching courses, and plans to hold workshops and become an official association to support its research vision.
This document provides an overview of curation and the Omeka content management system. It discusses how curation involves collecting, organizing and displaying information. Omeka is introduced as a platform developed by the Center for History and New Media to publish digital collections and exhibitions. The document reviews Omeka's core features and functionality, provides examples of how it can be used for education, and gives a brief introduction to Dublin Core metadata standards for cataloging digital objects.
Some notes about spark streming positioning give the current players: Beam, Flink, Storm et al. Helpful if you have to choose an Streaming engine for your project.
This document discusses several use cases for deep learning in ocean engineering including whale conservation using acoustic and AIS ship tracking data, as well as cognitive applications of AIS data. It describes how acoustic sensors are used to monitor whale sounds which are currently manually classified, and how deep learning could be used for automatic classification of whale sounds from raw audio files. It also discusses how AIS and satellite AIS data provide ship tracking information that could be used with deep learning for applications like ship collision detection and whale conservation strategies. Finally, it summarizes an HPC infrastructure design for AIS applications using IBM Power systems, GPUs, and AI software like PowerAI.
This document describes Morph LDP, an R2RML-based linked data platform. It consists of a Morph LDP web application that exposes relational data from a database as linked data. It uses an R2RML mapping to translate between the relational and RDF representations. The demo includes example mappings, generated linked data, and components like the Morph engine, query translator, and LDP request handler that enable the translation and serving of linked data.
The document summarizes a workshop on connecting data management plans (DMPs) to repositories. The workshop aimed to discuss how to make DMPs machine-readable to facilitate information sharing between systems. Recent developments in the DMPOnline tool were demonstrated, including linking to standards and pulling in grant details. Participants mapped potential connections between DMPs and repositories in areas like capacity planning and deposition workflows. Standardizing DMP formats and using persistent identifiers were highlighted as priority areas to improve interconnectivity.
Your Content hides a treasure (and you might have not found it) - ForgetIT Pr...Olivier Dobberkau
The document discusses digital preservation and the ForgetIT project. It introduces the problems of preserving large amounts of digital content and losing access to it over time. The ForgetIT project aims to apply the human concepts of preservation and forgetting to computer systems, preserving only the most valuable content while allowing other content to be forgotten. It does this by transforming content into semantic linked data and measuring key values to determine what should be preserved or forgotten.
A discussion of Text and Data Mining in science and at Springer Nature in particular. As presented at the Frankfurt Book Fair 2018 by Markus Kaindl, Senior Manager Semantic Data, Springer Nature.
Tom Love has had a long career in software development, starting in the 1970s. Some key events and accomplishments include:
- Helping develop one of the first object-oriented extensions to C, called OOPC, while working at ITT in the early 1980s.
- Becoming the first commercial user of Smalltalk-80 in 1982 while working at Schlumberger.
- Co-founding Stepstone, one of the first object-oriented products companies, in 1983. Stepstone developed and released Objective-C.
- Helping organize the first OOPSLA conference in 1986, which helped establish many modern software development practices.
The document provides an introduction to data science at scale and distributed thinking. It discusses the motivation for data science at scale due to increasing data volumes, varieties, and velocities. It distinguishes between data science, which focuses on accuracy, and data engineering, which focuses on scale, performance, and reliability. The document then provides a crash course on data engineering concepts like distributed computation and the SMACK stack. It introduces Spark as a framework that can scale data processing. Finally, it discusses probabilistic algorithms as an approach for processing large datasets that may be inexact but use less resources than exact algorithms.
Streaming data presents new challenges for statistics and machine learning on extremely large data sets. Tools such as Apache Storm, a stream processing framework, can power range of data analytics but lack advanced statistical capabilities. These slides are from the Apache.con talk, which discussed developing streaming algorithms with the flexibility of both Storm and R, a statistical programming language.
At the talk I dicsussed issues of why and how to use Storm and R to develop streaming algorithms; in particular I focused on:
• Streaming algorithms
• Online machine learning algorithms
• Use cases showing how to process hundreds of millions of events a day in (near) real time
See: https://apacheconna2015.sched.org/event/09f5a1cc372860b008bce09e15a034c4#.VUf7wxOUd5o
NordForsk Open Access Reykjavik 14-15/8-2014:RdaNordForsk
The Research Data Alliance provides opportunities for global collaboration on data-related issues. It grew from the need to connect research computers and share data openly across technologies and borders. RDA works through Working and Interest Groups to develop standards and best practices around topics like data citation and metadata. Recent outputs include recommendations for data type registries and persistent identifier information types. RDA membership includes over 1,900 individuals from 83 countries and represents academia, government, and industry.
The document discusses Apache Spark and its ecosystem. It begins with introducing the speaker who has 5 years of experience in knowledge discovery and has used big data technologies like Hadoop and Spark. It then explains that Spark provides a versatile ecosystem for batch, streaming, SQL, machine learning and graph processing workloads through components like Spark Core, Spark SQL, Spark Streaming, MLLib and GraphX. The document demonstrates Spark's seamless integration through an example that performs SQL queries, trains a machine learning model and performs streaming analysis in one workflow. It encourages attendees to start using Spark by downloading it and experimenting through hands-on coding examples.
Portland Common Data Model (PCDM): Creating and Sharing Complex Digital ObjectsKaren Estlund
Interoperability has long been a goal of digital repositories, as demonstrated by efforts ranging from OAI-PMH, to attempts to create common APIs such as IIIF, to community based metadata standards such as Dublin Core. As repositories have matured and the desire to work more collaboratively and reuse source code has grown, the need for a common understanding of how digital objects are conceived and represented is essential. The Portland Common Data Model (PCDM) is an effort to create a shared, linked data-based model for representing complex digital objects. Starting in the Hydra community but quickly expanding to include contributors from Islandora, Fedora, the Digital Public Library of America, and other repository-related service communities, PCDM is the result of over sixty practitioners’ contributions to a shared model for structuring digital objects. The process was holistic and rooted in concrete use-cases. An initial in-person meeting in Portland, Oregon in fall 2014 resulted in the release of the first draft of the data model for which it is named. With this shared model, we intend to further the goal of interoperability across repositories and related technologies. This presentation will review the origins of PCDM, provide a general technical overview, update on current status, and forecast future work.
Similar to PIDs in DMPs: Spinning tracks with syntax (20)
Data Management Plans 2.0: A Hub of Information to Facilitate ResearchStephanie Simms
This document discusses the development of machine-actionable data management plans (DMPs). Currently, DMPs are often one-time documents created at the grant stage that are not revisited. The presenters propose making DMPs living documents that are interconnected with other research information, such as people, grants, methods, and outputs. They are working on a single DMP system that harnesses community efforts and creates structured, machine-readable DMPs. This would allow DMPs and their elements to be automatically generated, shared, and used to alleviate administrative burdens and improve data management.
- The document summarizes a workshop on research data management given by Stephanie Simms from the California Digital Library.
- It discusses an overview of research data management and the "SupportYour Data" program, which aims to help researchers better organize, save, document, and share the outputs of their work.
- The workshop covered assessing current data management practices, accessing tools and resources, and data-related services available at Kyoto University.
UC Davis National Center for Sustainable Transportation Data Management WorkshopStephanie Simms
NCST held a workshop for research grant recipients to provide information on the USDOT Public Access Plan and its requirements, guidance for writing a data management plan, best practices in managing data, and archiving and publishing data using the University of California’s Dash data repository. https://ncst.ucdavis.edu/research/data-management/
International DMP workshop presentation, IDCC, Feb 2016Stephanie Simms
The document discusses lessons learned from the Smithsonian Institution (SI) about using data management plans (DMPs) to meet internal data management needs. Specifically, it notes that SI requires DMPs at multiple levels, including for each museum/unit, intra- and extramural projects, and grant-funded research projects. It also emphasizes that DMPs should be living documents, have assessment potential, utilize APIs to share data, and be fluid enough to work in different locales. The overall lessons focus on applying a tiered, adaptable approach to DMPs tailored to an organization's unique structure and needs.
DLF Panel on RDM Strategies in the Library, Oct 2015Stephanie Simms
Panel presentation at the 2015 Digital Library Federation (DLF) Forum with 5 CLIR Postdoctoral Fellows working in different university libraries to coordinate RDM strategies across campus, Vancouver, Canada, Oct 2015
IDCC Presentation on the Future of Data Management Planning, Feb 2016Stephanie Simms
International Digital Curation Conference (IDCC) 2016 paper/presentation about plans to merge the DMPTool and DMPonline to create a global DMP infrastructure, Amsterdam, Netherlands, 24 Feb 2016
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
11. Give It All [the PIDs] You Got
Assign a DOI to DMP of record (i.e.,
submitted with grant proposal)
Leverage other PIDS to populate DMP
over time:
● Researcher IDs (ORCIDs)
● Funder IDs (FundRef)
● Resource IDs (RRIDs)
● Projects, instruments, protocols,
ethics, physical samples, etc.
Afro-Rican | Give It All You Got
12. Smooth Operator
Can we design DMPs that allow
researchers and other stakeholders
to:
“...move in space with minimum waste
and maximum joy?”
Sade | Diamond Life
13. Dark Side of the Moon > Promoting Open DMPs
DMPTool Public DMPs
RIO Journal DMP Collection
APIs and integrations (e.g.,
Dataverse, Zenodo, Figshare)
Pink Floyd | The Dark Side of the Moon
14. Machine-actionable DMPs: International Tour Dates
9–10 Nov 2016 PIDapalooza We’re here!
Reykjavik, Iceland
20–23 Feb 2017 IDCC Get tickets
Edinburgh, Scotland
5-7 Apr 2017 RDA Get tickets
Barcelona, Spain
All slides written and performed by: stephanie.simms@ucop.edu
@stephrsimms @TheDMPTool @DMPonline
blog.dmptool.org
github.com/dmproadmap
15. Questions
● What workflows can we imagine around machine-actionable & public DMPs?
● How can DMPs interact with each other, within & across layers?
● Which versions of a DMP should be archived & for how long?
● Which resources should a DMP talk to/be notified from?
● What actions could or should DMPs trigger?
● Who should know a DMP was updated?
● When should DMPs be updated?
● ...