ELIXIR Standards and Formats: ISA Tools and FAIRsharingPeter McQuilton
This document summarizes Peter McQuilton's presentation on ELIXIR Standards and Formats, specifically the ISA Tools and FAIRsharing. It discusses how ISA (Investigation/Study/Assay) formats and tools help researchers describe experiments and share data according to community standards. It also describes FAIRsharing, a web portal that maps standards, databases, formats, and data policies to make them FAIR (Findable, Accessible, Interoperable, and Reusable). The presentation outlines how ISA and FAIRsharing connect to ELIXIR use cases and resources, and how the FAIRsharing team works with various groups and the community.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,000 members from over 100 countries. It also lists several outputs and deliverables that RDA working groups have produced to enable increased data sharing and interoperability.
This document provides an update on the Research Data Alliance (RDA) from June 2015. It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 2,900 members from 102 countries. It also lists several outputs and deliverables produced by RDA working groups to enable improved data sharing, including standards for data citation, metadata and data type registries.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,300 members from 104 countries. It also lists several outputs and deliverables produced by RDA working groups, including standards for data citation, metadata directories and data type registries. Finally, it outlines RDA's organizational structure and previews upcoming plenary meetings in future years.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,000 members from over 100 countries. It also summarizes several outputs and deliverables from RDA working groups, including standards for data citation, metadata directories and data type registries. Finally, it previews upcoming RDA plenary meetings in places like Paris, Tokyo, and the United States.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,000 members from over 100 countries. It also lists several outputs and deliverables that RDA working groups have produced to enable increased data sharing and interoperability.
FAIR Data Interim Report and Action PlanSarah Jones
The document is an interim report from the European Commission Expert Group on FAIR Data. It provides recommendations and an action plan to make data FAIR (Findable, Accessible, Interoperable, Re-usable). The report defines key concepts of FAIR, recommends developing standards and components like identifiers, metadata and repositories to create a sustainable FAIR data ecosystem. It also recommends ensuring FAIR data and services, embedding a culture of FAIR practices, and developing metrics to assess progress. The action plan outlines next steps like consulting stakeholders on the recommendations and revising the report.
ELIXIR Standards and Formats: ISA Tools and FAIRsharingPeter McQuilton
This document summarizes Peter McQuilton's presentation on ELIXIR Standards and Formats, specifically the ISA Tools and FAIRsharing. It discusses how ISA (Investigation/Study/Assay) formats and tools help researchers describe experiments and share data according to community standards. It also describes FAIRsharing, a web portal that maps standards, databases, formats, and data policies to make them FAIR (Findable, Accessible, Interoperable, and Reusable). The presentation outlines how ISA and FAIRsharing connect to ELIXIR use cases and resources, and how the FAIRsharing team works with various groups and the community.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,000 members from over 100 countries. It also lists several outputs and deliverables that RDA working groups have produced to enable increased data sharing and interoperability.
This document provides an update on the Research Data Alliance (RDA) from June 2015. It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 2,900 members from 102 countries. It also lists several outputs and deliverables produced by RDA working groups to enable improved data sharing, including standards for data citation, metadata and data type registries.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,300 members from 104 countries. It also lists several outputs and deliverables produced by RDA working groups, including standards for data citation, metadata directories and data type registries. Finally, it outlines RDA's organizational structure and previews upcoming plenary meetings in future years.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,000 members from over 100 countries. It also summarizes several outputs and deliverables from RDA working groups, including standards for data citation, metadata directories and data type registries. Finally, it previews upcoming RDA plenary meetings in places like Paris, Tokyo, and the United States.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,000 members from over 100 countries. It also lists several outputs and deliverables that RDA working groups have produced to enable increased data sharing and interoperability.
FAIR Data Interim Report and Action PlanSarah Jones
The document is an interim report from the European Commission Expert Group on FAIR Data. It provides recommendations and an action plan to make data FAIR (Findable, Accessible, Interoperable, Re-usable). The report defines key concepts of FAIR, recommends developing standards and components like identifiers, metadata and repositories to create a sustainable FAIR data ecosystem. It also recommends ensuring FAIR data and services, embedding a culture of FAIR practices, and developing metrics to assess progress. The action plan outlines next steps like consulting stakeholders on the recommendations and revising the report.
Preventive healthcare: exploring big data’s rising role in active and healthy ageing
As healthcare costs continue to soar, the cost saving benefits of big data will become more apparent, especially as there is an increased focus on preventive care, well-being and reducing re-admission rates in the hospital. With so many benefits, it’s easy to understand why the healthcare industry has been such an early adopter of big data technology.
However, it would be interesting to see the impact big data has on the active and healthy ageing market as we are moving forward.
Indeed, can we imagine using personal health data for encouraging persons to be proactive about their health and implement suggested lifestyle changes?
To which extent can this information be used by insurance companies for example?
Which challenges encountered when collecting this data?
Let’s discuss with our panelists the impact big data has on preventive care and which are its limits?
Moderator: Bowden Richie, CEO, SoMoMod/ Assess Patients, IE
O'Donoghue John, Senior Lecturer in eHealth & Deputy Director Global eHealth, IMPERIAL COLLEGE LONDON, UK
Dekezel Stefaan, Programme Director Innovation & Smart Synergies, Ageas, BE
Brichet Francis, Health Manager, Coreye, FR
The view of interoperability and standards:
(1) Standards as infrastructure for interoperability
(2) Placing the citizen at the center
(3) Using digital health technologies to reduce costs and flatten risk
(4) However we face a tsounami of data; the question do you navigate the data? Can standards help? And what kind standards can help? Establish trust, use the right data at the right time, for the benefit of the patient; and the system as a whole.
(a) Example of appointments: replace most routine f2f appointments with remote visits; and shift the focus to f2f visits that aim to diagnose a problem. Productivity low in health care.
(b) Standards place the individual at the center of the care serving as the data aggregator in a fragmented health system
(c) Think of the patient summary as a window to a persons’ health
HESA data, describing research activity and #REF2021Jisc RDM
Research Data Network
Dan Cook, Head of Data Policy & Development at HESA;
An update on the work Hesa is doing in relation to research data, especially in the context of the forthcoming REF.
Natalie Harrower - DRI, RDA and Irelanddri_ireland
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
Hilary Hanahoe - The Research Data Alliance in a nutshelldri_ireland
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
Presentation on the FAIR data principles and how they relate to Science Gateways and software. Presented at a workshop prior to eResearch Australasia 16 October 2017
Connecting the dots - e-Infra services for open scienceOpenAIRE
1. The document discusses e-infrastructure services that can support open science by connecting different types of research outputs like publications, data, and software.
2. It describes three European projects (OpenAIRE, OpenMinTeD, and OpenUP) that provide services for open science by facilitating access, discovery, and analysis of research information across domains and borders.
3. These services aim to make science more open and reproducible by linking related research outputs together for intelligent discovery, transparency, and reproducibility while addressing the diverse needs of different research communities and disciplines.
The document summarizes updates on the Research Data Alliance (RDA). Key points include:
- The RDA focuses on reducing barriers to data sharing and exchange by building social, organizational, and technical infrastructure.
- Working groups deliver focused efforts like standards, best practices, and code to enable data sharing within 12-18 months.
- The RDA has grown rapidly since launching in 2013 and now includes over 2,500 members from 92 countries.
- The organizational structure includes working groups, interest groups, a council, and secretariat to coordinate efforts.
- The fourth RDA plenary was held in Amsterdam in September 2014, presenting the first deliverables on topics like data types and identifiers.
- Up
Ingrid Dillo - Trustworthy repositories for open research datadri_ireland
DANS is an institute of the Royal Netherlands Academy of Arts and Sciences (KNAW) and the Netherlands Organization for Scientific Research (NWO). It has been promoting and providing permanent access to digital research resources since 2005, building on predecessors dating back to 1964. DANS obtains certification for its repositories and services, including the Data Seal of Approval, to build trust with depositors, users, and funders by demonstrating its commitment to digital preservation best practices and transparency. The certification process also improves DANS' internal workflows and documentation.
Sarah Jones - National approaches to data managementdri_ireland
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
Certification of data repositories - CoreTrustSealOpenAIRE
The first workshop of the series "Services to support FAIR data" took place in Prague during the EOSC-hub week (on April 12, 2019).
Speaker: Mari Kleemola
How core trust seal enables FAIR data - Natalie HarrowerOpenAIRE
How core trust seal enables FAIR data presented Natalie Harrower during the OpenAIRE workshop Services to support FAIR data, Vienna: https://www.openaire.eu/openaire-workshop-making-services-fair-vienna-april-24th-2019
How the Core Trust Seal (CTS) Enables FAIR Datadri_ireland
Presentation by Natalie Harrower, Director of the The Digital Repository of Ireland, on how the Core Trust Seal requirements and implementation process help prepare a digital repository for supporting FAIR data.
Presentation at the 'Services to Support FAIR data' workshop in Vienna on 24th April 2019. Workshop series supported by OpenAire, the Research Data Alliance, FAIRsFAIR and the EOSChub
General Introduction to the Oxford e-Research CentreDavid Wallom
Digital Oxford is a collaborative research hub that is transforming research through innovative digital methods. It focuses on key areas like data capture, curation, publication and standards to create technologies that disseminate and reuse research data. The hub works with various communities including curators, data producers, consumers, developers, researchers, and policy makers through its network of high performance computing, infrastructure, and communications systems.
Bristol's Research Data Service - Debra Hiom - Jisc Digital Festival 2014Jisc
The Research Data Service at Bristol University aims to make research data support a regular service by August 2015. It currently operates as a pilot program with staff including a service manager, research data librarians, and a technical developer. The service offers guidance on data management plans, data storage, sharing, publication, and training. It provides researchers with 5TB of storage and tools for collaboration, deposition of published datasets, and a public catalogue. Priorities for the next year include promoting the service, establishing ongoing service levels, developing an institutional research data policy, and integrating the data repository with the university's research information system.
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
This document provides an overview of how working groups and interest groups function within the Research Data Alliance (RDA). It explains that interest groups focus on a common interest defined in a short charter, while working groups have a more concrete problem, short timeframe, and expected output. It describes how to join, start, and adopt outcomes of groups. Current groups are also listed. The document uses a taxonomy to classify groups by discipline, function, and technical vs. non-technical focus. Informal relations between some current groups are noted.
The document discusses the benefits of attending the Australian HL7 Working Group Meeting. It notes that HL7 standards are important for international healthcare interoperability. The working group meetings provide opportunities to advance standards, gain expertise from international experts, train, network, and influence standards to meet local needs. The meetings include tutorials, topic discussions, and presentations over 5 days. Attending costs around $3000 typically but HL7 New Zealand members can receive up to $1000 in refunds to attend, with the goal of increasing New Zealand participation.
Preventive healthcare: exploring big data’s rising role in active and healthy ageing
As healthcare costs continue to soar, the cost saving benefits of big data will become more apparent, especially as there is an increased focus on preventive care, well-being and reducing re-admission rates in the hospital. With so many benefits, it’s easy to understand why the healthcare industry has been such an early adopter of big data technology.
However, it would be interesting to see the impact big data has on the active and healthy ageing market as we are moving forward.
Indeed, can we imagine using personal health data for encouraging persons to be proactive about their health and implement suggested lifestyle changes?
To which extent can this information be used by insurance companies for example?
Which challenges encountered when collecting this data?
Let’s discuss with our panelists the impact big data has on preventive care and which are its limits?
Moderator: Bowden Richie, CEO, SoMoMod/ Assess Patients, IE
O'Donoghue John, Senior Lecturer in eHealth & Deputy Director Global eHealth, IMPERIAL COLLEGE LONDON, UK
Dekezel Stefaan, Programme Director Innovation & Smart Synergies, Ageas, BE
Brichet Francis, Health Manager, Coreye, FR
The view of interoperability and standards:
(1) Standards as infrastructure for interoperability
(2) Placing the citizen at the center
(3) Using digital health technologies to reduce costs and flatten risk
(4) However we face a tsounami of data; the question do you navigate the data? Can standards help? And what kind standards can help? Establish trust, use the right data at the right time, for the benefit of the patient; and the system as a whole.
(a) Example of appointments: replace most routine f2f appointments with remote visits; and shift the focus to f2f visits that aim to diagnose a problem. Productivity low in health care.
(b) Standards place the individual at the center of the care serving as the data aggregator in a fragmented health system
(c) Think of the patient summary as a window to a persons’ health
HESA data, describing research activity and #REF2021Jisc RDM
Research Data Network
Dan Cook, Head of Data Policy & Development at HESA;
An update on the work Hesa is doing in relation to research data, especially in the context of the forthcoming REF.
Natalie Harrower - DRI, RDA and Irelanddri_ireland
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
Hilary Hanahoe - The Research Data Alliance in a nutshelldri_ireland
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
Presentation on the FAIR data principles and how they relate to Science Gateways and software. Presented at a workshop prior to eResearch Australasia 16 October 2017
Connecting the dots - e-Infra services for open scienceOpenAIRE
1. The document discusses e-infrastructure services that can support open science by connecting different types of research outputs like publications, data, and software.
2. It describes three European projects (OpenAIRE, OpenMinTeD, and OpenUP) that provide services for open science by facilitating access, discovery, and analysis of research information across domains and borders.
3. These services aim to make science more open and reproducible by linking related research outputs together for intelligent discovery, transparency, and reproducibility while addressing the diverse needs of different research communities and disciplines.
The document summarizes updates on the Research Data Alliance (RDA). Key points include:
- The RDA focuses on reducing barriers to data sharing and exchange by building social, organizational, and technical infrastructure.
- Working groups deliver focused efforts like standards, best practices, and code to enable data sharing within 12-18 months.
- The RDA has grown rapidly since launching in 2013 and now includes over 2,500 members from 92 countries.
- The organizational structure includes working groups, interest groups, a council, and secretariat to coordinate efforts.
- The fourth RDA plenary was held in Amsterdam in September 2014, presenting the first deliverables on topics like data types and identifiers.
- Up
Ingrid Dillo - Trustworthy repositories for open research datadri_ireland
DANS is an institute of the Royal Netherlands Academy of Arts and Sciences (KNAW) and the Netherlands Organization for Scientific Research (NWO). It has been promoting and providing permanent access to digital research resources since 2005, building on predecessors dating back to 1964. DANS obtains certification for its repositories and services, including the Data Seal of Approval, to build trust with depositors, users, and funders by demonstrating its commitment to digital preservation best practices and transparency. The certification process also improves DANS' internal workflows and documentation.
Sarah Jones - National approaches to data managementdri_ireland
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
Certification of data repositories - CoreTrustSealOpenAIRE
The first workshop of the series "Services to support FAIR data" took place in Prague during the EOSC-hub week (on April 12, 2019).
Speaker: Mari Kleemola
How core trust seal enables FAIR data - Natalie HarrowerOpenAIRE
How core trust seal enables FAIR data presented Natalie Harrower during the OpenAIRE workshop Services to support FAIR data, Vienna: https://www.openaire.eu/openaire-workshop-making-services-fair-vienna-april-24th-2019
How the Core Trust Seal (CTS) Enables FAIR Datadri_ireland
Presentation by Natalie Harrower, Director of the The Digital Repository of Ireland, on how the Core Trust Seal requirements and implementation process help prepare a digital repository for supporting FAIR data.
Presentation at the 'Services to Support FAIR data' workshop in Vienna on 24th April 2019. Workshop series supported by OpenAire, the Research Data Alliance, FAIRsFAIR and the EOSChub
General Introduction to the Oxford e-Research CentreDavid Wallom
Digital Oxford is a collaborative research hub that is transforming research through innovative digital methods. It focuses on key areas like data capture, curation, publication and standards to create technologies that disseminate and reuse research data. The hub works with various communities including curators, data producers, consumers, developers, researchers, and policy makers through its network of high performance computing, infrastructure, and communications systems.
Bristol's Research Data Service - Debra Hiom - Jisc Digital Festival 2014Jisc
The Research Data Service at Bristol University aims to make research data support a regular service by August 2015. It currently operates as a pilot program with staff including a service manager, research data librarians, and a technical developer. The service offers guidance on data management plans, data storage, sharing, publication, and training. It provides researchers with 5TB of storage and tools for collaboration, deposition of published datasets, and a public catalogue. Priorities for the next year include promoting the service, establishing ongoing service levels, developing an institutional research data policy, and integrating the data repository with the university's research information system.
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
This document provides an overview of how working groups and interest groups function within the Research Data Alliance (RDA). It explains that interest groups focus on a common interest defined in a short charter, while working groups have a more concrete problem, short timeframe, and expected output. It describes how to join, start, and adopt outcomes of groups. Current groups are also listed. The document uses a taxonomy to classify groups by discipline, function, and technical vs. non-technical focus. Informal relations between some current groups are noted.
The document discusses the benefits of attending the Australian HL7 Working Group Meeting. It notes that HL7 standards are important for international healthcare interoperability. The working group meetings provide opportunities to advance standards, gain expertise from international experts, train, network, and influence standards to meet local needs. The meetings include tutorials, topic discussions, and presentations over 5 days. Attending costs around $3000 typically but HL7 New Zealand members can receive up to $1000 in refunds to attend, with the goal of increasing New Zealand participation.
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...EarthCube
This series of presentations was given at the EarthCube Data Facilities End-User Workshop held January 15-17, 2014 in Washington, DC. This workshop provided a forum to discuss the unique requirements and challenges associated with developing the communication, collaboration, interoperability, and governance structures that will be required to build EarthCube in conjunction with existing and emerging NSF/GEO facilities.
This panel and discussion, specifically, outlined and explained several current concepts in data sharing and interoperability, featuring presentations by:
Paul Morin (UMN): Polar Cyberinfrastructure
Don Middleton (UCAR): Atmospheric/Climate
Kerstin Lehnert (LDEO): Domain Repositories & Physical Samples
David Schindel (CBOL, GRBio): Biological Perspective & Collections
Hank Leoscher (NEON): Observation Networks
Daniel Fuka (Virginia Tech) and Ruth Duerr (NSIDC): Brokering
Ilya Zaslavsky (UCSD): Cross-Domain Interoperability
This document discusses various research methods used in scientific studies, including qualitative methods, quantitative methods, field studies, surveys, interviews, case studies, experiments, and opinion polls. It provides details on how each method is conducted and what types of research questions it can help answer. For example, it explains that quantitative research uses large standardized samples and objective measurements to test theories, while qualitative research uses small flexible samples, in-depth interviews, and interpretation to understand meanings and discover new ideas.
The document discusses the composition of boards of directors. It distinguishes between insider directors who are employed by the corporation, and outsider directors who have no direct relationship with the corporation. It also notes several factors that contributed to increased interest in corporate governance reforms in the UK and US, such as institutional investment growth and executive compensation issues. Regulatory frameworks for corporate governance establish relationships between management, directors, and shareholders. Disclosure requirements include financial data, director backgrounds, executive compensation, and shareholder proposals requiring approval.
This document summarizes an update on the Research Data Alliance (RDA). It discusses the growth of RDA membership and activities. Key points include:
- RDA works to reduce barriers to data sharing and exchange by building social, organizational and technical infrastructure.
- RDA has grown significantly since its launch in 2013, with over 2,500 members from over 90 countries working in various working groups.
- Working groups focus on developing deliverables like standards, best practices and code to enable data sharing in various domains and for community needs, data stewardship, and base infrastructure.
- The first deliverables have been presented, with more to come, aimed at making data sharing and discovery more trustworthy
OSGIS: an introduction to the research data allianceHerman Stehouwer
RDA (Research Data Alliance) was formed in 2013 to facilitate collaboration and data sharing between experts from different disciplines and organizations. It aims to overcome barriers to easy access, sharing, and interoperability of data. RDA members participate in Working and Interest Groups to discuss issues and develop solutions like data standards. These groups work to enable greater data sharing, discoverability, and reuse to help address major challenges. RDA holds regular plenary meetings for groups to meet face-to-face and share outcomes with the broader community.
The Research Data Alliance (RDA) is a global organization that aims to build the social and technical infrastructure to enable open sharing of data across technologies, disciplines, and countries. It is supported by the European Commission, Australian National Data Service, and US National Science Foundation. RDA brings together experts and practitioners to develop standards, develop tools, and overcome barriers to data sharing through Working Groups and Interest Groups. Upcoming outputs from RDA in 2014 include developing systems for data type registries, persistent identifier information types, metadata standards, and practical data policies. RDA currently has over 1,500 members from over 70 countries working to advance open data sharing.
The document discusses the evolution and history of the Internet and the Research Data Alliance (RDA). It provides details on:
- How the Internet originated from research networks developed by DARPA in the 1960s-70s.
- The RDA aims to build bridges for open sharing of research data globally by facilitating collaboration between experts. It is supported by funding from the EC, Australian NSD, and US NSF/NIST.
- The RDA works through Working and Interest Groups that develop standards and recommendations to advance data sharing at biannual plenary meetings. Several outputs addressing issues like metadata standards, data type registries, and PID information are expected in 2014.
The Research Data Alliance (RDA) is an international organization focused on data sharing infrastructure and community activities. It has over 3,200 members from over 100 countries, representing data professionals from academia, libraries, earth sciences, astronomy and other disciplines. RDA develops recommendations and standards to reduce barriers to data sharing through working groups. It aims to enable open sharing of data to address societal challenges. Members collaborate on issues like reproducibility, data preservation, and metadata through regional and global activities. RDA membership is free and open to any individual or organization with an interest in data sharing.
The Research Data Alliance (RDA) is an international organization with over 9,499 members from 137 countries working to build the social and technical infrastructure to enable open sharing of data. RDA has developed 32 flagship technical specifications and standards, and their recommendations have been adopted in 75 cases across multiple disciplines, organizations, and countries. RDA members collaborate in 85 working and interest groups focused on issues like interoperability, data stewardship, and community needs. The organization's vision is for researchers to openly share data to address societal challenges.
The Research Data Alliance (RDA) is an international organization with over 9,400 members from 137 countries working to build the social and technical infrastructure to enable open sharing of data. Its mission is to reduce barriers to data sharing across technologies, disciplines and countries. RDA has numerous working groups and interest groups addressing challenges such as metadata, citation, preservation, and more. Membership is open and free for individuals and provides opportunities for collaboration.
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.
Research Data Alliance in a nutshell - Fotis KarayannisBlue BRIDGE
The Research Data Alliance (RDA) is an international member-based organization focused on building the social and technical infrastructure to enable open sharing of data. With over 5,700 members from 128 countries, RDA works to reduce barriers to data sharing through the development of standards, best practices, and other outputs. Key activities of RDA include the work of various working groups and interest groups focused on issues like data citation, metadata standards, and legal interoperability. RDA has produced several recommendations that have been adopted by organizations to facilitate greater data sharing and reuse.
The Research Data Alliance (RDA) aims to build social and technical bridges that enable open sharing of data. It has over 9,000 members from 137 countries working in 83 groups to address challenges like interoperability, best practices, and more. RDA produces recommendations and specifications to help researchers openly share data across technologies and disciplines to solve societal challenges.
The Research Data Alliance (RDA) is an international organization with over 10,000 members from 144 countries working to build the social and technical infrastructure to enable open sharing of data. Its vision is for researchers to openly share data across technologies, disciplines, and countries to address societal challenges. RDA has over 100 groups working on data interoperability issues and has produced 37 flagship outputs, including technical specifications, with over 100 adoption cases in various organizations and disciplines.
This document summarizes key findings from surveys about researchers' data sharing practices and attitudes. It finds that while most researchers agree data should be shared, only a small percentage actually make their data openly available. Researchers typically share data through email, cloud services, or external drives rather than repositories. The document also discusses increasing emphasis on open and FAIR data in research funder policies, but notes researchers face barriers to compliance like unclear terminology, lack of skills and incentives, and confusion between open data and managed/FAIR data. It argues for engagement programs to help researchers better understand and participate in open scholarship.
The Research Data Alliance (RDA) is an international organization with over 9,859 members from 144 countries working to build the social and technical infrastructure to enable open sharing of data. Its vision is for researchers to openly share data across technologies, disciplines and countries to address societal challenges. RDA has 85 groups working on data interoperability challenges through Working Groups and Interest Groups. It has produced 32 outputs including technical specifications and seen adoption in over 100 cases. RDA membership is open and free for individuals and provides benefits such as networking and skills development, while organizational membership provides additional benefits such as influencing RDA activities.
The Research Data Alliance (RDA) is an international organization with over 7,500 members from 137 countries that works to build social and technical bridges to enable open sharing of data. RDA has 95 working groups and interest groups addressing challenges in domains like agriculture, health, geospatial and more. The groups have produced 28 flagship outputs including data standards and best practices. RDA brings together researchers, engineers, and data professionals to develop infrastructure and activities that reduce barriers to data sharing.
The document discusses the Research Data Alliance (RDA), an international organization focused on data sharing. It provides information on RDA's vision, mission, members, activities, and outputs. RDA has over 6,400 members from 133 countries working in groups to develop infrastructure and standards to facilitate open data sharing across disciplines. The document outlines the various domain-specific and cross-cutting working groups and interest groups within RDA addressing issues like metadata, data citation, and interoperability.
The Research Data Alliance (RDA) is an international organization with over 3,200 members from over 100 countries that works to reduce barriers to data sharing and exchange. RDA develops infrastructure and standards to facilitate data sharing across disciplines and borders. It has numerous working groups addressing issues like metadata, data citation, and interoperability. Membership is free and open to individuals and organizations with an interest in open data. RDA produces recommendations and outputs to enhance data infrastructure, practices, and policies. It holds plenary meetings to discuss progress and foster collaboration.
The Research Data Alliance (RDA) is an international organization with over 7,300 members from 137 countries working to build the social and technical infrastructure to enable open sharing of data. RDA has produced 25 flagship recommendations and outputs that have been adopted in over 75 cases to reduce barriers to data sharing. RDA members collaborate in 94 groups to develop solutions to challenges in domains like agriculture, health, geospatial and more.
FAIR data: what it means, how we achieve it, and the role of RDASarah Jones
Presentation on FAIR data, the FAIR Data Action Plan developed by the European Commission Expert Group and the role of the Research Data Alliance on implementing FAIR. The presentation was given at the RDAFinland workshop held on 6th June - https://www.csc.fi/web/training/-/rda_and_fair_supporting_finnish_researchers
The Research Data Alliance (RDA) is an international organization with over 7,600 members from 137 countries working to build the social and technical infrastructure to enable open sharing of data. RDA has produced 30 flagship recommendations and outputs to reduce barriers to data sharing, which have been adopted in over 75 cases across multiple disciplines and countries. RDA members collaborate in 94 working and interest groups to develop solutions to challenges related to data sharing, interoperability, and infrastructure.
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Research Data Alliance: Research Data Sharing without barriers
1. Research Data Alliance: Data
Sharing Without Barriers
Linked Geospatial Data Workshop
Herman Stehouwer, Leif Laaksonen
2. The Research Data Alliance (RDA) builds the
social and technical bridges that enable open
sharing of data.
We see researchers and innovators openly
sharing data across technologies, disciplines,
and countries to address the grand
challenges of society.
3/5/2014
2
3. Groups
Working Groups and Interest Groups
15 and 27
Some WGs that will deliver by end of year:
PID Information Types WG
Data Type Registries
Metadata Standards Directory WG
Data Foundation and Terminology
Practical Policy
Data Categories and Codes
To highlight:
PID groups
Citation of Dynamic Data
3/5/2014
3
4. Act
Participate in the Plenary
Dublin 2014.03.26-28
Amsterdam 2014.09.22-24
Participate in technical discussions
Join/Start a WG or IG
3/5/2014
4