The document discusses an open data repository being developed by IRD (French National Research Institute for Sustainable Development) to promote open science and data sharing. The repository will (1) provide researchers a platform to control dissemination and preservation of their data, (2) ensure discovery of data archived in other repositories, and (3) meet requirements of European programs and integrate with the European Open Science Cloud. The repository will house unstructured and undigitized data from IRD's various scientific domains, supporting goals like data preservation, reproducibility, and data sharing with southern partners.
"Open data repository for scientific data sharing with the southern countries" was the subject of the talk given by Jean-Chsritophe Desconnets, head of the IRD's Infrastructure and Digital Data Mission (MIDN), in Gabarone (Botswana) on 2018, november 8th during the International Data Week. It presents the IRD's data repository project that will open in 2019. This project is co-managed by MIDN, IT and IST Services.
This document discusses open access and open data from the perspective of a funder. It provides an overview of progress in the UK towards open access policies by research councils, universities, and funders. It also discusses the development of open access repositories and journals. For open data, it outlines benefits and drivers, as well as challenges researchers face in sharing data due to lack of incentives and resources. Further work is needed to provide guidance, integrate repositories, and promote strategic debate around open data policies and infrastructure.
“Open Research Data: Implications for Science and Society”, Warsaw, Poland, May 28–29, 2015, conference organized by the Open Science Platform — an initiative of the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw. pon.edu.pl @OpenSciPlatform #ORD2015
OpenAIRE at Workshop on CRIS and OAR, May 2010OpenAIRE
This document provides an overview of the OpenAIRE project, which aims to promote open access to peer-reviewed scientific publications and research data. It discusses the project's goals of setting up infrastructure and tools to support deposition, searching, and visualization of open access publications and research data. It also addresses challenges around interoperability between current research information systems (CRIS) and institutional repositories (IR), and OpenAIRE's approaches to create relations between publications, projects, and primary research data from different systems through its data model and mappings.
Establishing a UQ Research Data Management Service ARDC
The University of Queensland established a new Research Data Management service called the UQ Research Data Manager to address research integrity issues and satisfy requirements for research data management. The service will provide centralized infrastructure for the entire research lifecycle including data creation, curation, usage, and publication. It will initially roll out working data storage and access functionality to high-risk schools while emphasizing training and education. The goals are to ensure research data remains secure, accurate and reusable according to FAIR data principles and to meet various compliance requirements.
The document discusses an open data repository being developed by IRD (French National Research Institute for Sustainable Development) to promote open science and data sharing. The repository will (1) provide researchers a platform to control dissemination and preservation of their data, (2) ensure discovery of data archived in other repositories, and (3) meet requirements of European programs and integrate with the European Open Science Cloud. The repository will house unstructured and undigitized data from IRD's various scientific domains, supporting goals like data preservation, reproducibility, and data sharing with southern partners.
"Open data repository for scientific data sharing with the southern countries" was the subject of the talk given by Jean-Chsritophe Desconnets, head of the IRD's Infrastructure and Digital Data Mission (MIDN), in Gabarone (Botswana) on 2018, november 8th during the International Data Week. It presents the IRD's data repository project that will open in 2019. This project is co-managed by MIDN, IT and IST Services.
This document discusses open access and open data from the perspective of a funder. It provides an overview of progress in the UK towards open access policies by research councils, universities, and funders. It also discusses the development of open access repositories and journals. For open data, it outlines benefits and drivers, as well as challenges researchers face in sharing data due to lack of incentives and resources. Further work is needed to provide guidance, integrate repositories, and promote strategic debate around open data policies and infrastructure.
“Open Research Data: Implications for Science and Society”, Warsaw, Poland, May 28–29, 2015, conference organized by the Open Science Platform — an initiative of the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw. pon.edu.pl @OpenSciPlatform #ORD2015
OpenAIRE at Workshop on CRIS and OAR, May 2010OpenAIRE
This document provides an overview of the OpenAIRE project, which aims to promote open access to peer-reviewed scientific publications and research data. It discusses the project's goals of setting up infrastructure and tools to support deposition, searching, and visualization of open access publications and research data. It also addresses challenges around interoperability between current research information systems (CRIS) and institutional repositories (IR), and OpenAIRE's approaches to create relations between publications, projects, and primary research data from different systems through its data model and mappings.
Establishing a UQ Research Data Management Service ARDC
The University of Queensland established a new Research Data Management service called the UQ Research Data Manager to address research integrity issues and satisfy requirements for research data management. The service will provide centralized infrastructure for the entire research lifecycle including data creation, curation, usage, and publication. It will initially roll out working data storage and access functionality to high-risk schools while emphasizing training and education. The goals are to ensure research data remains secure, accurate and reusable according to FAIR data principles and to meet various compliance requirements.
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.
The document discusses high performance computing (HPC) resources available through University Information Technology Services at the University of Connecticut Storrs campus. It provides an overview of the central HPC cluster including specifications, usage trends over time, popular applications, and information for researchers and instructors. Access is open to all UConn researchers and some older nodes have been repurposed for academic use in the classroom.
The PEER project modeled the impact of green open access on STM publishers over 3 years with 53,000 peer-reviewed articles deposited in repositories and publisher websites. It found that repositories and publisher sites can coexist for green OA but repositories are not key for information delivery. The project infrastructure developed to support this, PEER Depot and Observatory, can now also support gold OA. Implications for RepNet include developing processes to support both green and gold OA models through building on the work done by PEER and developing a gold OA funding infrastructure.
Delivering biodiversity knowledge in the information ageVince Smith
Vince Smith presented on delivering biodiversity knowledge in the information age at a conference in Greece. He discussed 1) challenges integrating biodiversity data due to diverse data sources, 2) example tools like Scratchpads and Biodiversity Data Journal that help manage data, and 3) big challenges around social issues of openness, mobilizing existing data from collections and literature, and modeling the biosphere from large linked datasets. The talk outlined next steps toward an integrated strategy for biodiversity data under the EU's Horizon 2020 program.
What is an archaeological research infrastructure and why do we need it? Aims...ariadnenetwork
Presentation by:
Edeltraud Aspöck, OREA (Institute for Rriental and European Archaeology)
and
Guntram Geser, Salzburg Research
Full-day session on archaeological infrastructures and services at the 18th Cultural Heritage and New Technologies (CHNT) conference
Vienna, Austria
11th -13th November 2013
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.
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.
re3data.org presented at 3rd RDA Plenary Paul Vierkant
This five minute talk was given in the Birds of Feather Session on Global Registry of Trusted Repositories and Services at the 3rd Plenary of the Research Data Alliance in Dublin
Supporting Research Data Management in UK Universities: the Jisc Managing Res...L Molloy
Research data management in the UK: interventions by the Jisc Managing Research Data programme and the Digital Curation Centre. Specifies the importance of academic librarians for RDM. Includes links to openly available training resources. Presentation by L Molloy to ExLibris event, 'Excellence in Academic Knowledge Management', Utrecht, 29 October 2013.
Developing Research Data Management Policy and ServicesRobin Rice
1) The document discusses developing a research data management policy and services at the University of Edinburgh. It covers developing an institutional RDM policy, defining roles and responsibilities of researchers and the institution, and supporting and training researchers in RDM.
2) It describes current RDM services at UoE including an online data library, RDM training embedded in postgraduate programs, and tailored support for data management plans.
3) The document presents UoE's RDM roadmap, which sets strategic aims and deliverables over 18 months in areas like infrastructure, archiving, and promoting awareness across departments.
1) The University of Edinburgh requires research data that has future historical interest or represents records of the university to be deposited in an appropriate repository.
2) Edinburgh DataShare is one of the key research data management services offered by the university and has worked to meet the requirements of pilot submissions from various research communities and data types.
3) Discussions at the Repository Fringe event covered topics such as depositing student thesis data, handling sensitive health data, supporting non-standard metadata and licenses, and ensuring long-term access to large datasets.
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.
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.
This document summarizes a presentation on research data repositories. It discusses the background and importance of preserving research data. It outlines challenges around developing standards, connectivity, and long-term funding models for research data infrastructure. Examples of existing domain-specific and cross-domain repositories are provided. The re3data.org registry aims to increase visibility and standardization of research data repositories. Overall challenges include further developing the repository landscape through research, standardization, networking, and sustainable financing models.
University of Edinburgh RDM Training: MANTRA & beyondRobin Rice
The document summarizes training provided at the University of Edinburgh on research data management (RDM). It describes a training matrix that includes the MANTRA online course, bespoke sessions, workshops on information skills, and a new MOOC. The MANTRA course and workshops on topics like data management planning and working with sensitive data are well attended. Feedback from participants indicates the training is useful and enlightening. New developments include data and software carpentry workshops and transitioning to a Research Data Service to provide comprehensive RDM support.
Document management system for Pharmaceuticalbaseinfo
The document discusses a document management system for pharmaceutical companies built on the Alfresco platform. It notes that pharmaceutical companies operate in a highly regulated environment and need effective document management. The system allows companies to automate business processes, provide a knowledge base to users, and integrate with quality management, manufacturing, and other electronic document systems used in the manufacturing process. It provides features like digital signatures, audit trails, document version control, and mobile access to help companies comply with regulations.
A presentation on document management system presented by Converse Solutions during the Global Executive Event in Colombo, Sri Lanka, 22nd August 2010.
The document discusses the importance of documentation in ensuring quality. It states that documentation, in the form of documents that establish standards and processes, is a key tool for quality assurance. It also emphasizes that quality cannot be assured in a regulated industry without good documentation practices and a systematic document system. The document outlines some basic requirements and characteristics for an effective documentation system, including establishing quality standards, monitoring compliance, and managing any changes to documents or processes.
This document discusses good documentation practices for GMP compliance. It defines what documentation is, outlines the types of documents required by GMP such as batch records and SOPs. It explains the importance of documentation for meeting legal requirements, business needs, and enabling good decision making. It provides tips for writing good documentation including structure, approvals, version control, and retention. Overall it emphasizes that documentation is critical to demonstrate regulatory compliance and quality.
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.
The document discusses high performance computing (HPC) resources available through University Information Technology Services at the University of Connecticut Storrs campus. It provides an overview of the central HPC cluster including specifications, usage trends over time, popular applications, and information for researchers and instructors. Access is open to all UConn researchers and some older nodes have been repurposed for academic use in the classroom.
The PEER project modeled the impact of green open access on STM publishers over 3 years with 53,000 peer-reviewed articles deposited in repositories and publisher websites. It found that repositories and publisher sites can coexist for green OA but repositories are not key for information delivery. The project infrastructure developed to support this, PEER Depot and Observatory, can now also support gold OA. Implications for RepNet include developing processes to support both green and gold OA models through building on the work done by PEER and developing a gold OA funding infrastructure.
Delivering biodiversity knowledge in the information ageVince Smith
Vince Smith presented on delivering biodiversity knowledge in the information age at a conference in Greece. He discussed 1) challenges integrating biodiversity data due to diverse data sources, 2) example tools like Scratchpads and Biodiversity Data Journal that help manage data, and 3) big challenges around social issues of openness, mobilizing existing data from collections and literature, and modeling the biosphere from large linked datasets. The talk outlined next steps toward an integrated strategy for biodiversity data under the EU's Horizon 2020 program.
What is an archaeological research infrastructure and why do we need it? Aims...ariadnenetwork
Presentation by:
Edeltraud Aspöck, OREA (Institute for Rriental and European Archaeology)
and
Guntram Geser, Salzburg Research
Full-day session on archaeological infrastructures and services at the 18th Cultural Heritage and New Technologies (CHNT) conference
Vienna, Austria
11th -13th November 2013
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.
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.
re3data.org presented at 3rd RDA Plenary Paul Vierkant
This five minute talk was given in the Birds of Feather Session on Global Registry of Trusted Repositories and Services at the 3rd Plenary of the Research Data Alliance in Dublin
Supporting Research Data Management in UK Universities: the Jisc Managing Res...L Molloy
Research data management in the UK: interventions by the Jisc Managing Research Data programme and the Digital Curation Centre. Specifies the importance of academic librarians for RDM. Includes links to openly available training resources. Presentation by L Molloy to ExLibris event, 'Excellence in Academic Knowledge Management', Utrecht, 29 October 2013.
Developing Research Data Management Policy and ServicesRobin Rice
1) The document discusses developing a research data management policy and services at the University of Edinburgh. It covers developing an institutional RDM policy, defining roles and responsibilities of researchers and the institution, and supporting and training researchers in RDM.
2) It describes current RDM services at UoE including an online data library, RDM training embedded in postgraduate programs, and tailored support for data management plans.
3) The document presents UoE's RDM roadmap, which sets strategic aims and deliverables over 18 months in areas like infrastructure, archiving, and promoting awareness across departments.
1) The University of Edinburgh requires research data that has future historical interest or represents records of the university to be deposited in an appropriate repository.
2) Edinburgh DataShare is one of the key research data management services offered by the university and has worked to meet the requirements of pilot submissions from various research communities and data types.
3) Discussions at the Repository Fringe event covered topics such as depositing student thesis data, handling sensitive health data, supporting non-standard metadata and licenses, and ensuring long-term access to large datasets.
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.
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.
This document summarizes a presentation on research data repositories. It discusses the background and importance of preserving research data. It outlines challenges around developing standards, connectivity, and long-term funding models for research data infrastructure. Examples of existing domain-specific and cross-domain repositories are provided. The re3data.org registry aims to increase visibility and standardization of research data repositories. Overall challenges include further developing the repository landscape through research, standardization, networking, and sustainable financing models.
University of Edinburgh RDM Training: MANTRA & beyondRobin Rice
The document summarizes training provided at the University of Edinburgh on research data management (RDM). It describes a training matrix that includes the MANTRA online course, bespoke sessions, workshops on information skills, and a new MOOC. The MANTRA course and workshops on topics like data management planning and working with sensitive data are well attended. Feedback from participants indicates the training is useful and enlightening. New developments include data and software carpentry workshops and transitioning to a Research Data Service to provide comprehensive RDM support.
Document management system for Pharmaceuticalbaseinfo
The document discusses a document management system for pharmaceutical companies built on the Alfresco platform. It notes that pharmaceutical companies operate in a highly regulated environment and need effective document management. The system allows companies to automate business processes, provide a knowledge base to users, and integrate with quality management, manufacturing, and other electronic document systems used in the manufacturing process. It provides features like digital signatures, audit trails, document version control, and mobile access to help companies comply with regulations.
A presentation on document management system presented by Converse Solutions during the Global Executive Event in Colombo, Sri Lanka, 22nd August 2010.
The document discusses the importance of documentation in ensuring quality. It states that documentation, in the form of documents that establish standards and processes, is a key tool for quality assurance. It also emphasizes that quality cannot be assured in a regulated industry without good documentation practices and a systematic document system. The document outlines some basic requirements and characteristics for an effective documentation system, including establishing quality standards, monitoring compliance, and managing any changes to documents or processes.
This document discusses good documentation practices for GMP compliance. It defines what documentation is, outlines the types of documents required by GMP such as batch records and SOPs. It explains the importance of documentation for meeting legal requirements, business needs, and enabling good decision making. It provides tips for writing good documentation including structure, approvals, version control, and retention. Overall it emphasizes that documentation is critical to demonstrate regulatory compliance and quality.
This document from the United States Army Medical Research Institute of Chemical Defense provides guidance on Good Documentation Practices (GDP) for ensuring reliable, consistent documentation in research. It outlines specifics of GDP such as making legible data entries immediately, using indelible ink and explaining abbreviations. It also describes how to properly make and document corrections to records as well as how to maintain accuracy, clarity and traceability. Examples of bad documentation practices that should be avoided are given at the end.
In Pharma and Biotech, Weightage of the Documentation is around 70 % because as per FDA "If you do not have Document, You dint have do it."
So Good Documentation Practice is of tremendous importance for the Industry to comply any regulation like FDA, GMP or ISO.
Providing support and services for researchers in good data governanceRobin Rice
The University of Edinburgh provides support and services to help researchers with good data governance. This includes a research data policy, research data service with various tools across the data lifecycle, and a data safe haven for sensitive data. The research data service offers centralized storage, version control, collaboration tools, and repositories for sharing data openly or long-term retention. Training and outreach aim to educate researchers on topics like data management plans, sensitive data, and GDPR compliance.
The document provides an overview of the CISER Data Archive at Cornell University and introduces key concepts of research data management (RDM).
The CISER Data Archive is a collection of over 27,000 numeric datasets to support quantitative research in various social science fields. It provides consulting services to help users find, access, and use data. It also maintains the Cornell research data repository.
The document defines research data and outlines the research data lifecycle. It discusses best practices for organizing, documenting, storing, and securing research data. Key aspects of RDM include developing data management plans, using appropriate file formats, and ensuring long-term preservation and sharing of research data.
The document summarizes the research data management program at the University of Edinburgh. It discusses the services provided, including a data management planning tool, a data repository for publication and preservation, and a data storage system. Training and support are also offered to help researchers with best practices in organizing, documenting, sharing, and preserving their research data over its entire lifecycle. The program aims to implement the University's research data policy and support funder requirements by establishing these research data management services.
The document summarizes the activities of EDINA and the Data Library at the University of Edinburgh related to research data management. It describes EDINA as a national data center that provides online resources for education and research. The Data Library assists university researchers with discovering, accessing, using and managing research datasets. It also outlines several projects the Data Library is involved in to develop training, policies and services to support best practices in research data management according to funder requirements. This includes developing an institutional research data management roadmap to help the university meet funder expectations by 2015.
The document provides information about research data management (RDM) services and initiatives at the University of Edinburgh. It describes the EDINA National Data Centre and Data Library, which provide online resources and data management support. It outlines several JISC-funded RDM projects undertaken by the Data Library, including building the Edinburgh DataShare repository. It also summarizes the Research Data MANTRA training module and the university's RDM roadmap, which lays out a multi-phase plan to improve RDM support and services by 2015 in line with funder requirements.
The document provides background information on RDM services at the University of Edinburgh. It summarizes that EDINA and the University Data Library provide research data management support and online resources. It then overviews key RDM services including DataStore for active research data storage, DataShare for open data publication, and plans for a long-term DataVault archive. The document also discusses RDM training and the university's RDM policy implemented through a multi-phase roadmap.
Europa requisitos y servicios en torno a los datos de investigacionmaredata
Europa requires and provides services around research data:
- It requires openly sharing research publications and data from publicly funded research by 2020. Countries will implement their own open access policies.
- It offers guidelines for researchers, infrastructure support, and funding incentives for open science practices like publishing with open access and sharing research data.
- The European Open Science Cloud aims to provide a supporting environment for open science through federated infrastructure and initiatives across member states.
This document summarizes Simon Hodson's presentation on open science and FAIR data developments globally. Some key points:
1) There is a growing policy push for open research data, with funders and organizations adopting data sharing policies based on FAIR data principles of findability, accessibility, interoperability, and reusability.
2) Initiatives are working to build the international ecosystem of open science, including components for reporting research outputs, persistent identifiers, data standards, data repositories, and criteria for trustworthy data.
3) The African Open Science Platform aims to lay the foundations for open science in Africa through frameworks for policy, incentives, training, and technical infrastructure development.
4) International
Implementing Open Access: Effective Management of Your Research DataMartin Hamilton
This document discusses research data management and support available from Jisc and the Digital Curation Centre (DCC). It provides background on policy drivers for research data management, outlines support offered by the DCC including capability studies, data management planning tools, and training. It also summarizes results from a 2014 survey of UK higher education institutions which found most progress in policy development and plans, but challenges around staffing, funding, and engagement of researchers. The document concludes with feedback on future priorities such as compelling services, engaging researchers, and shared infrastructure solutions.
Presentation slides from a lecture given at the University of the West of England (UWE) as part of the MSc in Library and Library Management, University of the West of England, Frenchay Campus, Bristol, March 24, 2009
I o dav data workshop prof wafula final 19.9.17Tom Nyongesa
The document summarizes an iODaV Data Workshop held at JKUAT in Kenya on open data and the JORD policy. It discusses why open data is important for reproducibility, innovation and scientific discovery. It outlines the FAIR principles for open data and metadata to make data findable, accessible, interoperable and reusable. It also discusses opportunities and challenges of open data for universities, including developing skills and infrastructure. Finally, it provides examples of open data initiatives at JKUAT including developing an open data policy, the iODaV program, contributions to national ICT policies, and the digital health applied research centre.
The document summarizes the Jisc Managing Research Data Programme which aims to support universities in improving research data management. It discusses why managing research data is important, highlighting funder policies and the benefits of open data. It provides an overview of Jisc's activities including training projects, guidance resources, and funding for institutional infrastructure services and repositories. The presentation emphasizes the importance of institutional policies, support services, skills development and cultural change to effectively manage research data in line with funder expectations.
This document discusses several studies on user engagement in research data curation. It finds that institutional repositories for data were developed without input from researchers, leading to systems that did not meet researchers' needs. Barriers to open data sharing included concerns over commercial use and maintaining ownership. Successful data curation requires understanding disciplinary differences and developing trusted relationships with researchers through dialogue early in projects.
An information system is designed to capture, store, process, and provide access to information to support organizational processes and decision making. The document discusses the design of a resource registry information system to support a hybrid cloud-based infrastructure. The resource registry collects and manages metadata about software systems, resources, and their status to enable service discovery, monitoring, and elastic resource allocation. It implements an open model to flexibly support evolving resource types and management needs over the long lifespan of the infrastructure.
Stuart Macdonald steps through the process of creating a robust data management plan for researchers. Presented at the European Association for Health Information and Libraries (EAHIL) 2015 workshop, Edinburgh, 11 June 2015.
Similar to National Research Data Archive MIDAS (20)
Loginio programavimo priemonių naudojimo darbui su duomenų bazėse saugoma inf...Saulius Maskeliunas
Atitinkamas straipsnis:
1. Maskeliūnas, S. Loginio programavimo priemonių naudojimo darbui su duomenų bazėse saugoma informacija apžvalga // Leidinyje: "Lietuvos mokslas ir pramonė - Informacinės technologijos'2000", Konferencijos pranešimų medžiaga (Kaunas, 2000m. vasario mėn. 2-3 d.), Sudarytojas B. Paradauskas, Kauno technologijos universitetas, "Technologija", Kaunas, 2000, pp. 203-210.
https://www.researchgate.net/profile/Saulius-Maskeliunas/publication/368411493_Loginio_programavimo_priemoniu_naudojimo_darbui_su_duomenu_bazese_saugoma_informacija_apzvalga/links/63e8a7c2c002331f7272b1c3/Loginio-programavimo-priemoniu-naudojimo-darbui-su-duomenu-bazese-saugoma-informacija-apzvalga.pdf
Ontologijų išreiškimo galimybės naudojant temų žemėlapiusSaulius Maskeliunas
Atitinkamas straipsnis:
2. Maskeliūnas, S. Ontologijų išreiškimo galimybės naudojant temų žemėlapius // Informacijos mokslai. Vilnius: Vilniaus universiteto leidykla, 2001, Vol. 18, p. 105-109.
https://www.researchgate.net/profile/Saulius-Maskeliunas/publication/368413570_Ontologiju_isreiskimo_galimybes_naudojant_temu_zemelapius/links/63e6a12b6425237563a2913b/Ontologiju-isreiskimo-galimybes-naudojant-temu-zemelapius.pdf
Ontologijų panaudojimas projekto repozitorijui intelektualizuotiSaulius Maskeliunas
Atitinkamas straipsnis:
2. Maskeliūnas, S.: Ontologijų panaudojimas projekto repozitorijui intelektualizuoti // Leidinyje: Informacinės technologijos' 2002. Konferencijos pranešimų medžiaga, XI sekcija „Veiklos procesų ir informacinių poreikių analizė“. R. Šeinauskas (sudarytojas). ISBN 9955-09-119-3, Kaunas: Technologija. 2002, pp. 382-388.
https://www.researchgate.net/publication/368400940_Ontologiju_panaudojimas_projekto_repozitorijui_intelektualizuoti
Ontologijų panaudojimas verslo ir informacinėms sistemoms intelektualizuotiSaulius Maskeliunas
Atitinkamas straipsnis:
Maskeliūnas, S.: Ontologijų panaudojimas verslo ir informacinėms sistemoms intelektualizuoti // Leidinyje: Informacinės technologijos 2003, Konferencijos pranešimų medžiaga, III sekcija „Duomenų bazės ir modeliai“. ISBN 9955-09-335-8 Kaunas: Technologija, 2003, p. III-9 - III-15.
https://www.researchgate.net/profile/Saulius-Maskeliunas/publication/368400610_Ontologiju_panaudojimas_verslo_ir_informacinems_sistemoms_intelektualizuoti/links/63e68188e2e1515b6b875bc0/Ontologiju-panaudojimas-verslo-ir-informacinems-sistemoms-intelektualizuoti.pdf
Ontologijų panaudojimas verslo ir informacinėms sistemoms intelektualizuotiSaulius Maskeliunas
Atitinkamas straipsnis:
1. Maskeliūnas, S.: Ontologijų naudojimas interneto technologijomis grindžiamoms paslaugoms intelektualizuoti // Informacijos mokslai. 26, ISSN 1392-0561. Vilnius: Vilniaus universitetas, 2003, pp. 154-159.
https://www.researchgate.net/profile/Saulius-Maskeliunas/publication/368400617_Ontologiju_naudojimas_interneto_technologijomis_grindziamoms_paslaugoms_intelektualizuoti/links/63e67b3fe2e1515b6b875658/Ontologiju-naudojimas-interneto-technologijomis-grindziamoms-paslaugoms-intelektualizuoti.pdf
Tiksliname lietuviškuosius terminus: ne žiniatinklis, bet saitynasSaulius Maskeliunas
Atitinkamas straipsnis:
https://www.researchgate.net/publication/363700694_Tiksliname_lietuviskuosius_terminus_ne_ziniatinklis_bet_saitynas
Anotacija: Viena iš sąlygų nedidelių tautų kalbai išlikti visuotinės globalizacijos ir masinės migracijos laikais yra mokslo kalbos palaikymas ir plėtojimas. O savos terminijos turėjimas yra būtina sąlyga mokslo kalbai gyvuoti. Informatika ir informacinės technologijos (IT) pastaraisiais dešimtmečiais tapo neatsiejama ne tik daugelio sričių mokslininkų, bet ir eilinių žmonių gyvenimo dalimi. Jei dažnas žmogus gali nugyventi visą gyvenimą negirdėjęs daugelio mokslo sričių terminų, tai IT terminai yra reta išimtis – jie jau tapo mūsų visų kasdienybe. Tad tikslūs, informatyvūs, nesikertantis su kitomis mokslo sritimis bei atmetimo reakcijos vartojantiems juos nesukeliantys IT terminai – labai svarbus dalykas. Šiuo metu jau sunkoka rasti žmonių, negirdėjusių apie internetą. Tad ir jo sudedamųjų dalių pavadinimai bei ką jie reiškia – aktualu daugeliui.
Vietos nustatymu grindžiamų paslaugų sistemų architektūraSaulius Maskeliunas
Atitinkamas straipsnis:
https://www.researchgate.net/profile/Saulius-Maskeliunas/publication/368398249_Architecture_for_location-based_services/links/63e677eae2e1515b6b87533a/Architecture-for-location-based-services.pdf
Anotacija: Location-based services (LBS) have become one of the fastest-growing areas based on modern technologies. LBS provide information and services depending on the location of the user or mobile object. LBS integrate GIS, Internet, wireless communication and positioning techniques. The aim is to analyze the architecture of LBS and implementation peculiarities of such systems, including wireless messaging, location determination technologies and core LBS services that use GIS technologies.
Key facts on FP7: funding, participants, evaluation, impactSaulius Maskeliunas
The document provides a summary report card of the European Union's 7th Framework Programme (FP7) for research funding from 2007-2013. Some key highlights include:
- FP7 invested €55 billion which funded over 25,000 projects and involved over 134,000 participations.
- It helped create over 130,000 research jobs per year and 160,000 indirect jobs annually.
- SMEs received over €6.4 billion in funding, surpassing the 15% target amount.
- An estimated €1 investment resulted in €11 of estimated direct and indirect economic effects through innovations.
pranešimas Lietuvos akademinių bibliotekų informacinės infrastruktūros mokslui ir studijoms palaikymo ir plėtros konsorciumo seminare
„Išmanioji informacijos paieška“
2013.11.20 d. VU MKIC
pranešimas Lietuvos akademinių bibliotekų informacinės infrastruktūros mokslui ir studijoms palaikymo ir plėtros konsorciumo seminare
„Išmanioji informacijos paieška“
2013.11.20 d. VU MKIC
Dr. Frederic Andres (NII, Japan) „Collective Intelligence-based Social Projec...Saulius Maskeliunas
(Presentation at the VU IMI and LIKS AI section seminar, 8th November 2013)
Abstract:
Social Project Management is a novel enhancement approach to project management based on social network. Social Project Management is defined as the effort of designing and executing research project, problem-solving tasks collaboratively by levering social networking. It aims at:
– Exploiting weak ties between researchers and implicit research know-how to improve activity execution and improving of knowledge sharing and collective intelligence.
– Increasing transparency and participation to the decision procedures, so as to raise awareness of the research processes and acceptance of the outcomes.
– Involving (informal) communities in research execution, thus assigning the execution to a broader set of performers or to find most appropriate contributor within a group.
We will present how social project management combines social networking, collective intelligence, and problem solving to increase the effectiveness of best practices. Current work on Collective Intelligence will be presented for the applicability of universal knowledge sharing inside social project management.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
What is an RPA CoE? Session 2 – CoE RolesDianaGray10
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
1. National Research Data Archive
MIDAS: development decisions
and usage peculiarities
Saulius Maskeliūnas
Vilnius University Institute of Mathematics and Informatics
Akademijos str. 4, Vilnius LT-08663, Lithuania
.
2. MII 2
Content
1. Introductory facts about
National Research Data Archive (MIDAS) project
2. Implementation aims and principles of MIDAS
3. Planned MIDAS outcomes and peculiarities
4. MIDAS data mining tool (DAMIS)
5. Conclusions
6. Demonstration of MIDAS
7. Demonstration of DAMIS
3. MII 3
1. Introductory facts about
MIDAS project (1)
• Project Title: National Open Access Research
Data Archive (LT: Nacionalinis atviros prieigos
Mokslo Informacijos Duomenų Archyvas, MIDAS)
• Lead institution: Vilnius University www.vu.lt
• Project partner: Vilnius University Hospital
Santariškių Klinikos (Santariškės Clinics) santa.lt
• Project participants: 13 institutions of
science and studies, and medical institutions
4. MII 4
1. Introductory facts about
MIDAS project (2)
• Funded by: EU Structural Funds and
national budget
• Project budget: ~ € 4.34M (i.e., almost 15M LTL)
• Duration: 40 months (start date: January 1, 2012 ,
end date: June 30, 2014 April 30, 2015)
• Current status:
– technical infrastructure: not installed yet;
– software development: beginning of 2nd iteration.
5. MII 5
2. Implementation aims
and principles of MIDAS
MIDAS implementation purpose
• to establish the infrastructure that enables
collection, organizing and storage of empirical
and research data (with corresponding metadata),
ensuring free, convenient, interactive search,
access and analysis of data.
6. MII 6
Prospective MIDAS users
• Researchers, lecturers, professors, students;
• Science and studies institutions
[and/or their representatives];
• Institutions which present research data
(e.g., hospitals),
• Research and development (R&D) enterprises;
• Public administration institutions
which use R&D statistical data;
• other interested physical and judicial persons.
7. MII 7
Development principles
• privacy and security
(i.e., information confidentiality,
integrity and non-repudiation)
• usability
• accessibility
(functioning 24 hours per day, 7 days per week)
• extensibility (i.e., software architecture scaling
in cases of incorporation of additional hardware)
8. MII 8
MIDAS compatibility
• MIDAS archive will be based on usage of open
code software, XML format and other open
metadata, bibliographic, information retrieval
standards (CERIF, CERIF for Datasets,
CIF, DICOM, Dublin Core, MARC21,
ISO/IEC 11179-1:2004, OAI-PMH, etc.).
• That will ensure compatibility with other
information systems, data archives and registries
in Lithuania and internationally
(e.g., Data Citation Index of Thomson Reuters
http://thomsonreuters.com/data-citation-index/ ).
9. MII 9
Integration with other
data archives and registers
• Lithuanian Academic E-Library eLABa www.elaba.lt
• Lithuanian Data Archive for Social Sciences and
Humanities LiDA www.lidata.eu/en
• Lithuanian Networked Digital Library of Theses
and Dissertations Lit-ETD etd.elaba.lt
• National Medical Picture Archiving and Information
Exchange System MedVAIS
http://www.epractice.eu/en/news/5364871
• etc.
10. MII 10
3. Planned MIDAS
outcomes and peculiarities
MIDAS outcomes (1)
• The infrastructure
that enables collection, organizing and storage
of empirical and research data
(with corresponding metadata),
ensuring free, convenient, interactive search,
access and analysis of data;
11. MII 11
MIDAS outcomes (2)
• National united research data archive
with analytical software tools;
• Infrastructure for collection and transferring of
biomedical research data, consisting of DICOM
(for collecting data from medical equipment),
ECG (for collecting electrical cardiogram data
from medical devices), content management, data
depersonalisation, and data archiving modules;
• Public interactive e-service
“Search, Delivery and Analysis of Research Data”.
12. MII 12
MIDAS implementation advantages
• Guaranteed safety and
effective sharing of research data
• Increased quality of research outputs
• Preventing duplication of effort in
research data collection
• Increased variety of research outputs
13. 4. Data mining tool DAMIS
(slides by Olga Kurasova <......................................> )
14. Functionalities of DAMIS
• DAMIS is a tool for analysis of the MIDAS data;
• The following data mining methods are
implemented:
• preprocessing (cleaning, filtering, splitting,
transposing, norming, feature selecting);
• statistical primitives (min, max, mean, standard
deviation, median);
• dimensionality reduction (multidimensional data
visualization);
• classification and clustering.
15. Functionalities of DAMIS
• DAMIS is a web-based system http://dev.damis.lt
(user name/password: demo/demo , 1234/1234 );
• The web interface does not require any software
installation; a web browser is enough for its usage;
• There is a possibility to choose
high performance computing resources
(VU MII cluster – VU MIF supercomputer);
• The usage is based on creation of scientific workflows;
• The results obtained can be saved in MIDAS and
in a user computer.
16. A sample of multidimensional data
(breast cancer data)
C
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3 1 1 1 2 2 3 1 1 b
6 8 8 1 3 4 3 7 1 b
4 1 1 3 2 1 3 1 1 b
1 1 1 1 2 10 3 1 1 b
2 1 2 1 2 1 3 1 1 b
2 1 1 1 2 1 1 1 5 b
4 2 1 1 2 1 2 1 1 b
... ... ... ... ... ... ... ... ... ... ...
8 10 10 8 7 10 9 7 1 m
5 3 3 3 2 3 4 4 1 m
8 7 5 10 7 9 5 5 4 m
7 4 6 4 6 1 4 3 1 m
10 7 7 6 4 10 4 1 2 m
7 3 2 10 5 10 5 4 4 m
10 5 5 3 6 7 7 10 1 m
... ... ... ... ... ... ... ... ... ... ...
4 8 8 5 4 5 10 4 1 m
26. MII 26
5. Conclusions (1)
• MIDAS will provide virtual services for
researchers and other participants in research and
education that can lead to more efficient,
effective and higher quality research;
• Users will have the possibilities to:
– register, find and cite research data,
– search for and use other infrastructures and
tools (which provide data archiving services),
– share or integrate data and tools to other
science and studies infrastructures;
27. MII 27
5. Conclusions (2)
• National Research Data Archive MIDAS
will increase research cooperation possibilities,
because of simpler,
more convenient,
unified,
advanced possibilities of
research data collection,
analysis,
application and
sharing.
28. MII 28
6. Demonstration of MIDAS
http://midas.insoft.lt:8888/web/
User name / password:
101/101
29. MII 29
7. Demonstration of DAMIS
http://dev.damis.lt
User name / password:
demo/demo