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
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.
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 3,000 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). 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.
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
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.
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 3,000 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). 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.
LIBER is a network of research libraries in Europe that aims to enable world-class research. The document discusses the benefits of open data and making research data FAIR (Findable, Accessible, Interoperable, Reusable). It notes that collaboration has increased in research and is important for addressing challenges. The vision is for open access and open data to be the default in research by 2022. Barriers to open data include cultural issues and lack of skills and infrastructure. The European Union supports open science and mandates open access and open data pilot programs. Research libraries provide services to support open data and FAIR principles.
OpenAIRE and Eudat services and tools to support FAIR DMP implementation Research Data Alliance
The document provides an overview of the Open Research Data Pilot, the data management plan, and OPENAIRE tools and services to support implementation of FAIR data management plans. It discusses the aims of the Open Research Data Pilot, which Horizon 2020 projects are required to participate, and the types of data that must be deposited. It also covers topics like creating a data management plan, selecting a repository, making data FAIR, and OPENAIRE support resources like briefing papers, webinars, and the Zenodo repository.
LIBER Webinar: Turning FAIR Data Into RealityLIBER Europe
These slides relate to a LIBER Webinar given on 23 April 2018. Turning FAIR Data Into Reality — Progress and Plans from the European Commission FAIR Data Expert Group.
In this webinar, Simon Hodson, Executive Director of CODATA and Chair of the FAIR Data Expert Group, and Sarah Jones, Associate Director at the Digital Curation Centre and Rapporteur, reported on the Group’s progress.
The document provides an overview of the Research Data Alliance (RDA). It discusses how RDA was established in 2013 to facilitate data sharing and exchange. It outlines RDA's organizational structure, including its Council, Technical Advisory Group, and Working Groups. It also summarizes several initial RDA Working Groups focused on issues like PID information types, data type registries, and metadata standards. The document aims to grow RDA's community and accelerate momentum around its efforts to advance open scientific data practices and infrastructure.
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 an international organization with over 11,000 members from 145 countries working to build the social and technical infrastructure to enable open sharing and re-use of research data across technologies, disciplines, and borders. RDA has 36 working groups and 57 interest groups addressing challenges in domains like agriculture, health, materials science, and more. It has produced 50 technical specifications and standards to reduce barriers to data sharing.
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
The Research Data Alliance (RDA) aims to facilitate data sharing across disciplines to address societal challenges. Individuals are encouraged to engage with RDA to contribute their expertise to discussions and recommendations, access an international network, receive updates on RDA's work, participate in meetings, and gain experience in all stages of the data lifecycle. RDA benefits from individual participation, as individuals bring ideas, problems, and solutions to create a valuable global community focused on reducing barriers to data sharing.
The document discusses the Research Data Alliance (RDA) and its process for having its technical specifications identified and approved as ICT Technical Specifications by the European Commission. The RDA works with various stakeholders to develop technical specifications that enhance data sharing and interoperability. Its specifications undergo an open review process before being submitted for identification. Previously identified RDA specifications include recommendations for data citation, repository requirements, and workflows for data publishing. The identification process involves review by the European Multi Stakeholder Platform and the European Commission to ensure specifications meet requirements for adoption in European public procurement.
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 10,000 members from 145 countries that works to reduce barriers to data sharing and exchange. RDA brings together researchers, scientists, and data professionals through Working Groups and Interest Groups to develop standards and best practices for data infrastructure and sharing. RDA has produced 50 outputs including technical specifications and has groups working on issues across multiple disciplines.
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 provides an overview of the UK research data discovery service, which aggregates research data from universities and national data centers to enable discovery of UK research data. It describes the pilot and development of the service, including participating organizations, requirements gathering, and next steps to transition the beta service into a production service. The demonstration shows the search capabilities of the beta discovery service platform.
The Research Data Alliance (RDA) aims to build social and technical bridges to enable open sharing of data. It has over 8,800 members from 137 countries working in 87 groups to develop recommendations and standards to reduce barriers to data sharing. Some of RDA's outputs include recommendations on data citation, metadata standards, and repository interoperability.
Show me the money - the long path to a sustainable RDM FacilityJisc RDM
Show me the money - the long path to a sustainable RDM Facility
A presentation by Marta Teperek from Cambridge University about the challenges encountered in developing business case and costing models for managing research data. Session held at Cardiff University for the Research Data Network event in May 2016.
This document discusses supporting data sharing through publisher policies and services. It summarizes that over 40 research funders globally require data archiving as a condition for grants. While funder policies motivate researchers to share data, complying with these policies is challenging for over half of researchers. The document then discusses Springer Nature's efforts to standardize and harmonize research data policies across journals, provide related support services to help with compliance, and lessons learned from their implementation progress.
What I wish I’d known at the start! What I wish I’d known at the start! Lessons learned the hard way when setting up RDM services;
Stephen Grace, London South Bank University, Sarah Jones, DCC; Research Data Network
The Research Data Alliance (RDA) is an international organization focused on data sharing infrastructure. With over 3,200 members from over 100 countries, RDA develops recommendations and outputs to reduce barriers to data sharing. Key activities include working groups that develop standards, best practices, and reference frameworks. RDA also holds plenary meetings to share developments and foster collaboration across disciplines. The organization aims to build the social and technical foundations for open data sharing to address global challenges.
LIBER is a network of research libraries in Europe that aims to enable world-class research. The document discusses the benefits of open data and making research data FAIR (Findable, Accessible, Interoperable, Reusable). It notes that collaboration has increased in research and is important for addressing challenges. The vision is for open access and open data to be the default in research by 2022. Barriers to open data include cultural issues and lack of skills and infrastructure. The European Union supports open science and mandates open access and open data pilot programs. Research libraries provide services to support open data and FAIR principles.
OpenAIRE and Eudat services and tools to support FAIR DMP implementation Research Data Alliance
The document provides an overview of the Open Research Data Pilot, the data management plan, and OPENAIRE tools and services to support implementation of FAIR data management plans. It discusses the aims of the Open Research Data Pilot, which Horizon 2020 projects are required to participate, and the types of data that must be deposited. It also covers topics like creating a data management plan, selecting a repository, making data FAIR, and OPENAIRE support resources like briefing papers, webinars, and the Zenodo repository.
LIBER Webinar: Turning FAIR Data Into RealityLIBER Europe
These slides relate to a LIBER Webinar given on 23 April 2018. Turning FAIR Data Into Reality — Progress and Plans from the European Commission FAIR Data Expert Group.
In this webinar, Simon Hodson, Executive Director of CODATA and Chair of the FAIR Data Expert Group, and Sarah Jones, Associate Director at the Digital Curation Centre and Rapporteur, reported on the Group’s progress.
The document provides an overview of the Research Data Alliance (RDA). It discusses how RDA was established in 2013 to facilitate data sharing and exchange. It outlines RDA's organizational structure, including its Council, Technical Advisory Group, and Working Groups. It also summarizes several initial RDA Working Groups focused on issues like PID information types, data type registries, and metadata standards. The document aims to grow RDA's community and accelerate momentum around its efforts to advance open scientific data practices and infrastructure.
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 an international organization with over 11,000 members from 145 countries working to build the social and technical infrastructure to enable open sharing and re-use of research data across technologies, disciplines, and borders. RDA has 36 working groups and 57 interest groups addressing challenges in domains like agriculture, health, materials science, and more. It has produced 50 technical specifications and standards to reduce barriers to data sharing.
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
The Research Data Alliance (RDA) aims to facilitate data sharing across disciplines to address societal challenges. Individuals are encouraged to engage with RDA to contribute their expertise to discussions and recommendations, access an international network, receive updates on RDA's work, participate in meetings, and gain experience in all stages of the data lifecycle. RDA benefits from individual participation, as individuals bring ideas, problems, and solutions to create a valuable global community focused on reducing barriers to data sharing.
The document discusses the Research Data Alliance (RDA) and its process for having its technical specifications identified and approved as ICT Technical Specifications by the European Commission. The RDA works with various stakeholders to develop technical specifications that enhance data sharing and interoperability. Its specifications undergo an open review process before being submitted for identification. Previously identified RDA specifications include recommendations for data citation, repository requirements, and workflows for data publishing. The identification process involves review by the European Multi Stakeholder Platform and the European Commission to ensure specifications meet requirements for adoption in European public procurement.
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 10,000 members from 145 countries that works to reduce barriers to data sharing and exchange. RDA brings together researchers, scientists, and data professionals through Working Groups and Interest Groups to develop standards and best practices for data infrastructure and sharing. RDA has produced 50 outputs including technical specifications and has groups working on issues across multiple disciplines.
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 provides an overview of the UK research data discovery service, which aggregates research data from universities and national data centers to enable discovery of UK research data. It describes the pilot and development of the service, including participating organizations, requirements gathering, and next steps to transition the beta service into a production service. The demonstration shows the search capabilities of the beta discovery service platform.
The Research Data Alliance (RDA) aims to build social and technical bridges to enable open sharing of data. It has over 8,800 members from 137 countries working in 87 groups to develop recommendations and standards to reduce barriers to data sharing. Some of RDA's outputs include recommendations on data citation, metadata standards, and repository interoperability.
Show me the money - the long path to a sustainable RDM FacilityJisc RDM
Show me the money - the long path to a sustainable RDM Facility
A presentation by Marta Teperek from Cambridge University about the challenges encountered in developing business case and costing models for managing research data. Session held at Cardiff University for the Research Data Network event in May 2016.
This document discusses supporting data sharing through publisher policies and services. It summarizes that over 40 research funders globally require data archiving as a condition for grants. While funder policies motivate researchers to share data, complying with these policies is challenging for over half of researchers. The document then discusses Springer Nature's efforts to standardize and harmonize research data policies across journals, provide related support services to help with compliance, and lessons learned from their implementation progress.
What I wish I’d known at the start! What I wish I’d known at the start! Lessons learned the hard way when setting up RDM services;
Stephen Grace, London South Bank University, Sarah Jones, DCC; Research Data Network
The Research Data Alliance (RDA) is an international organization focused on data sharing infrastructure. With over 3,200 members from over 100 countries, RDA develops recommendations and outputs to reduce barriers to data sharing. Key activities include working groups that develop standards, best practices, and reference frameworks. RDA also holds plenary meetings to share developments and foster collaboration across disciplines. The organization aims to build the social and technical foundations for open data sharing to address global challenges.
The document discusses principles for proper data management and reuse from the perspective of the Research Data Alliance (RDA). It notes that RDA has over 2000 members with diverse opinions. There is an ongoing discussion around trends in data practices and principles that most members agree with, such as data needing to be findable, accessible, combinable and interpretable by others. The document outlines some results from RDA working groups, including a common data model using persistent identifiers, a data type registry, a generic application programming interface for persistent identifier records, and a set of best practice policies for typical data management and data processing tasks.
The document provides an overview of the Research Data Alliance (RDA). Some key points:
- RDA builds social and technical bridges to enable open sharing of data across technologies, disciplines, and countries. It has over 3,700 members from 110 countries.
- RDA has 65+ working and interest groups that create standards, best practices, and other resources in 12-18 months to accelerate data sharing. This includes work on data citation principles, agriculture data, and more.
- RDA plays a role in connecting data initiatives at multiple scales from local to global. National groups support local participation in RDA to amplify effects for both national and international communities.
The Research Data Alliance (RDA) is an international organization focused on reducing barriers to data sharing and exchange to facilitate data-driven innovation. With over 3,200 members from over 100 countries, RDA includes data professionals from academia, libraries, science, and more. RDA develops infrastructure like technical standards and best practices to enable open sharing of data across technologies and disciplines. Members collaborate in Working Groups and Interest Groups to tackle challenges like reproducibility, data preservation, metadata standards, and more.
Polar research is inherently interdisciplinary and is becoming more so. Correspondingly, polar data managers have been working to meet very diverse communities and needs, especially after the progress of the International Polar Year 2007-8 (IPY). But is it enough? Despite their best efforts, the polar data and research communities can be rather insular. The unique challenges of polar research and data management may sometimes blind us to relevant developments in other parts of the world. At the same time, global initiatives and research in the lower latitudes often underplay, or even ignore, data needs and solutions in the polar regions. This conference emphasizes the need to extend polar issues more globally, yet the polar voice is still not loud enough in global conversations about data infrastructure.
Infrastructure, by its nature, must work across all scales. It requires a “glocal” perspective that simultaneously embraces both universalizing and particularizing tendencies. In this presentation I will discuss how there needs to be a constant interplay between local implementation and global design of data infrastructure. I will describe where the polar regions have had success in this area and where key challenges remain. I will describe a path forward for the polar data community to be better represented on the global stage through initiatives like the Research Data Alliance while also amplifying their effectiveness at the regional and local level. A goal is to improve the global understanding of polar issues while also improving the practice of polar data practitioners.
In recent years governments and research institutions have emphasized the need for open data as a fundamental component of open science. But we need much more than the data themselves for them to be reusable and useful. We need descriptive and machine-readable metadata, of course, but we also need the software and the algorithms necessary to fully understand the data. We need the standards and protocols that allow us to easily read and analyze the data with the tools of our choice. We need to be able to trust the source and derivation of the data. In short, we need an interoperable data infrastructure, but it must be a flexible infrastructure able to work across myriad cultures, scales, and technologies. This talk will present a concept of infrastructure as a body of human, organisational, and machine relationships built around data. It will illustrate how a new organization, the Research Data Alliance, is working to build those relationships to enable functional data sharing and reuse.
RDA is an international organization focused on reducing barriers to data sharing and exchange to enable open sharing of data across technologies and disciplines. It has over 4,000 members from over 110 countries representing various data-related fields. RDA develops infrastructure and standards to facilitate data sharing through working groups that address issues like metadata, data citation, and interoperability. The organization produces recommendations and other outputs aimed at making data discovery, access, use and reuse more reliable for researchers and innovators worldwide.
The Research Data Alliance (RDA) is an international organization with over 4,500 members from 115 countries that works to reduce barriers to data sharing and exchange. RDA develops infrastructure and standards to facilitate open data sharing across technologies and disciplines to address major challenges. It brings together domain experts in working groups and interest groups to develop recommendations and outputs related to data citation, metadata standards, data types, and more.
This document discusses challenges and opportunities around data management for integrated structural biology research. It notes that structural biology projects often use multiple experimental techniques and facilities, generating data in different formats. There is a need for metadata standards and repositories that can integrate diverse structural biology data types. A proposed solution is a virtual research environment portal that provides collaborative data sharing, processing and analysis tools, along with mechanisms for data quality control, citation and recognition. Such a system could help address the challenges of managing multi-technique structural biology data throughout the research lifecycle.
ACTRIS - Aerosol, Clouds, and Trace gases Research Infrastructure Research Data Alliance
The document discusses the ACTRIS Research Infrastructure, which is a European network for observing aerosols, clouds, and trace gases. It provides over 15 years of atmospheric data through its observing stations, instruments, and data center. The document outlines ACTRIS's plans from 2016-2046 and its goal of establishing sustainable, coordinated long-term atmospheric observations across Europe. It also discusses ACTRIS's data management plan and efforts to harmonize data policies and make data more FAIR (findable, accessible, interoperable, and reusable) according to recent guidelines.
This document discusses data curation roles and education. It outlines a study to identify key responsibilities of data curators through a content analysis of job descriptions and interviews. The study aims to develop a glossary to better define the profession and support curriculum development. It finds that data curation skills are evolving rapidly, outpacing higher education. While some library and information science programs provide data curation education, challenges include traditionally attracting humanities students rather than those with science backgrounds needed for the field.
The Research Data Alliance (RDA) is an international organization with over 8,900 members from 137 countries working to build the social and technical infrastructure to enable open sharing of data. The RDA has developed 32 flagship recommendations and specifications to reduce barriers to data sharing, and has seen 75 cases of adoption across multiple disciplines and countries. It convenes various working and interest groups to develop solutions to challenges in areas like reference frameworks, data stewardship, and community needs.
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 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 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 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.
The Research Data Alliance (RDA) is an international organization with over 10,000 members from 145 countries working to build the social and technical infrastructure to enable open sharing of data. RDA has 91 working groups and interest groups focused on issues like different academic disciplines, legal and technical interoperability, and community needs. The organization has produced 37 flagship recommendations and outputs that have been adopted over 100 times to help reduce barriers to sharing data internationally.
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.
This document outlines the agenda and expected outcomes of the RDA-NISO Interest Group on Privacy Implications of Research Data Sets. The group aims to develop frameworks for responsible data sharing, define key privacy issues and vectors, identify variances in privacy laws, and recommend technical metadata and outreach materials. It discusses the merging of two task groups, reports from other task forces, and related working groups. The document encourages participation in the interest group's activities and provides contact information.
The Research Data Alliance (RDA) is an international organization with over 10,000 members from 145 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. The RDA has produced 45 flagship recommendations and outputs and has over 100 cases of adoption across domains. It has 95 active working and interest groups focusing on issues like specific domains, data stewardship, and infrastructure.
The Research Data Alliance (RDA) is an international organization with over 9,600 members from 137 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 working and interest groups collaborating to develop recommendations and standards to reduce barriers to data sharing. It has produced 32 flagship recommendations that have been adopted in over 75 cases by organizations worldwide. Membership is open and free for individuals and provides opportunities to work on global data interoperability challenges.
The Research Data Alliance (RDA) is an international organization focused on building the social and technical infrastructure to enable open sharing of data. It has over 10,000 individual members from 144 countries collaborating in Working and Interest Groups to develop recommendations and standards to reduce barriers to data sharing. Some of RDA's achievements include 47 flagship outputs, 100+ adoption cases, and 93 active groups addressing challenges such as metadata, repositories, legal issues, and more. The ultimate goal is to allow researchers and innovators to openly share data across technologies and disciplines to address societal challenges.
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.
This document summarizes a series of workshops on services to support FAIR data. The workshops aim to explore how existing infrastructures can collaborate to deliver FAIR services, understand how to create FAIR research outputs, and engage stakeholders on implementing FAIR data. The first workshop will take place in Prague on April 12, 2019 and feature talks on the FAIR data maturity model, the EOSC working group on FAIR, and implementation stories from data certification, management and PID services. Participants will then break into groups to discuss challenges, recommendations and priorities for FAIR data services.
The Research Data Alliance: Opportunities for Public/Private Partnerships in...Research Data Alliance
The document discusses the Research Data Alliance (RDA), an international organization focused on reducing barriers to data sharing and exchange. It provides information on:
- What RDA is and its goals of openly sharing data across technologies, disciplines and countries.
- RDA's activities including working groups and interest groups focused on developing infrastructure, standards, and best practices.
- Benefits of RDA membership for individuals, researchers, enterprises/businesses, and policymakers.
- Examples of RDA recommendations and outputs like data citation standards and metadata directories.
- RDA community size and composition, including over 4,000 members from 110 countries in academia, government, and private industry.
The Research Data Alliance (RDA) is an international organization with over 10,000 members from 145 countries working to build the social and technical infrastructure to enable open sharing of data. It has 98 working groups and interest groups addressing challenges such as interoperability, data citation, metadata standards, and skills training. The RDA produces recommendations and outputs that are adopted by data repositories, domain organizations, and research communities to reduce barriers to data sharing and exchange.
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.
Find out how to partner with us for the RDA 6th Plenary in Paris, 23- 25 September 2015! Join us for an international event gathering industry and academic experts, world leaders involved in the data ecosystem !
Similar to RDA Members Monthly Statistics - May 2015 (20)
The Research Data Alliance (RDA) aims to facilitate data sharing across disciplines to address societal challenges. Individuals are encouraged to engage with RDA to contribute their expertise to discussions and recommendations, access an international network, receive updates on RDA's work, participate in meetings, and gain experience in all stages of the data lifecycle. RDA benefits from individual participation, as individuals bring ideas, problems, and solutions to create a valuable global community focused on reducing barriers to data sharing.
The document discusses the value of research infrastructure providers engaging with the Research Data Alliance (RDA). It outlines that RDA works to enable open sharing of research data globally across disciplines to address societal challenges. As research is global, infrastructure providers need globally compatible services, and RDA ensures this. The document provides reasons for providers to engage with RDA, such as access to an international network and opportunities to collaborate on data standards. It also describes ways providers can engage, such as joining RDA groups or attending meetings.
The Research Data Alliance (RDA) aims to facilitate open sharing of data across technologies and disciplines to address societal challenges. There are two main components - the volunteer community that builds social and technical connections through Working Groups, and the business operations that support the community. Organizations performing research can engage with RDA in various ways like sponsorship, membership, or participation in Working Groups to help shape standards and address issues like data management, quality, and interoperability. RDA offers a global network and opportunities for collaboration on solutions to research data challenges.
The document discusses the value of libraries engaging with the Research Data Alliance (RDA). It outlines several benefits libraries can gain from involvement such as interacting with data professionals, developing strategic partnerships, and gaining expertise. Libraries are encouraged to become organizational members of RDA, have staff join working groups, adopt RDA recommendations, and send representatives to plenaries. RDA works to address challenges around research data reproducibility, preservation, best practices, and more through global collaboration. Libraries are positioned to augment RDA's network as bridges between data activities and open sharing.
The document discusses ways that research funders can engage with and benefit from the Research Data Alliance (RDA). RDA works to build infrastructure for open data sharing across disciplines. Funders that support RDA can get more value from the research they fund through improved data quality, reuse, and benefits to stakeholders. Funders can encourage adoption of RDA outputs, support RDA operations, participate in forums, and sponsor events, fellowships, and pilots implementing RDA recommendations. Engaging with RDA helps funders deliver more benefits from research and supports RDA's work of improving data sharing.
The document discusses the value of the Research Data Alliance (RDA) for regions. It outlines how RDA supports regions in their work and business through various activities like disseminating regional efforts, facilitating connections, and providing organizational support. Regions also contribute value to RDA through participation in activities, hosting events, and providing financial support. The goal is to foster international collaboration to address challenges in sharing data across borders.
The Research Data Alliance (RDA) is an international organization with over 8,600 members from 137 countries that works to build social and technical bridges to enable open sharing of data. RDA has 104 working groups and interest groups that collaborate globally to develop recommendations and standards to reduce barriers to data sharing. Key activities of RDA include developing specifications, assessing community needs, and addressing challenges related to data citation, metadata, and interoperability.
The Research Data Alliance (RDA) is an international organization with over 8,400 members from 137 countries that works to build social and technical bridges to enable open sharing of data. RDA has 103 working groups and interest groups that collaborate globally to develop recommendations and outputs to reduce barriers to data sharing. Some of RDA's accomplishments include 32 flagship outputs, 75 adoption cases of their recommendations, and involvement of members from academia, public administration, and enterprise/industry.
The Research Data Alliance (RDA) is an international organization with over 8,200 members from 137 countries that works to build social and technical bridges to enable open sharing of data. RDA has 103 working groups and interest groups that collaborate globally to develop recommendations and outputs to reduce barriers to data sharing. Key activities of RDA groups include developing standards, addressing challenges in domains like agriculture and health, and ensuring data is reusable through practices like data citation.
The Research Data Alliance (RDA) is an international organization with over 8,000 members from 137 countries that works to build social and technical bridges to enable open sharing of data; RDA has over 100 working groups and interest groups that develop recommendations and outputs to reduce barriers to data sharing; these recommendations cover issues like metadata standards, data citation, and infrastructure to support open data.
The Research Data Alliance (RDA) is an international organization with over 8,000 members from 137 countries that works to build social and technical bridges to enable open sharing of data. It has produced 30 flagship recommendations and outputs to reduce barriers to data sharing. RDA members collaborate in 100 working and interest groups on challenges such as metadata standards, data citation, and legal interoperability.
The Research Data Alliance (RDA) is an international organization with over 7,900 members from 137 countries that works to build social and technical bridges to enable open sharing of data. It has over 100 working groups and interest groups that have produced 30 flagship recommendations and outputs to reduce barriers to data sharing. Examples of RDA recommendations include the Data Foundation and Terminology Model, PID Information Types API, and the Data Type Registries Model.
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.
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.
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2. 2
RDA community focuses on
building social, organizational
and technical infrastructure to
reduce barriers to data sharing
and exchange
accelerate the development of
coordinated global data
infrastructure
CREATE ADOPT USE
RDA Working Group Infrastructure
Deliverables are:
Focused pieces of adopted code, policy,
infrastructure, standards, or best practices that
enable data to be shared and exchanged
“Harvestable” efforts for which 12-18 months of
work can eliminate a roadblock for a substantial
community
Efforts that have substantive applicability to
“chunks” of the data community, but may not apply to
everyone
Efforts forwhich working scientists and
researchers can start today while more long-term or
far-reaching solutions are appropriately discussed in
other venues
Research Data Alliance created to Accelerate Development of
Research Data Sharing Infrastructure Worldwide
Plenary 2
Washington, DC
3. 3
Precipitous Growth
RDA Launch /First
Plenary
March2013
RDA Second
Plenary
September2014
RDA Third
Plenary
March2014
RDA Fourth
Plenary
September2014
RDA Fifth
Plenary
March2015
Amsterdam,
Netherlands
Washington,
DC, USA
Dublin, Ireland
Gothenburg,
Sweden
240 participants
First Working Groups
and Interest Groups
380 participants from22
countries
First “neutral space”
community meeting (Data
Citation Summit)
First Organizational Partner
Meet-up
First BOFs
497 Participants from32
countries
First Organizational
Assembly
6 co-located events
14 BOF,
12 Working Groups, 22
Interest Groups
San Diego,
CA, USA
550 Participants
from40 countries
1st
RDA Deliverables
presented
Organizational
Assembly and first
OAB/Council
meeting
10 co-located events
11 BOF,
14 Working Groups,
36 Interest Groups
383 Participants from30
countries
2nd
RDA Deliverables
presented
Organizational Assembly /
Council meetings
1st
Adoption Day & Large
scale data projects meeting
10 BOF, 10 Working Groups,
20 Interest Groups;
10 joint Sessions;
4 thematic Plenary Sessions
4. 4
The Research Data Alliance Community Today
Total RDA Community Members: 2889
from 100 countries
5. 5
RDA Organizational Structure Complete
RDA Funders Forum
Stakeholder Group
RDA Council
Responsible for overarching mission, vision, impact of RDA
Technical Advisory
Board
Responsible for Technical
roadmap and interactions
Secretary-General and
Secretariat
Responsible for
administration and
operations
Organizational Advisory
Board and
Organizational
Assembly
Responsible for organizational
adoption and strategic advice
Working Groups 15 (April 2015)
Self formed & responsible for impactful, outcome-oriented efforts
Interest Groups 43 (April 2015)
Self formed & responsible for defining and refining common issues
RDAMembership
8. 8
Working Group Deliverables Users
Data Foundations and
Terminology
Data Model, Defined terminology in a
registry
OIF, EUDAT,
DASISH
Data Type Registries Federation between data type
registries
CNRI,
EUDAT, IDF
Persistent Identifier
Information Types
Core informational types, Prototype
protocol/api that implements these.
DKRZ, CNRI
Practical Policy Example policy sets for tasks (e.g.
replication)
Participants
First Deliverables
Deliverables not always technical
DSA-WDS Certification
9. 9
A basic set of machine actionable rules to enhance trust
A metadata standards directory so we can describe similar
things consistently - WG Metadata Standards Directory
A dynamic-data citation methodology so we can reference
precise subsets of changing data - WG Data Citation: Making
Data Citable
Semantically linked terms describing wheat data so we can
share harvest and related information around the world - WG
Wheat Data Interoperability
A unified repository certification scheme to reduce confusion
and improve trust - WG Data Citation: Making Data Citable
2nd
Set of Deliverables – March 2015
RDA 5th
Plenary : RDA WG Outputs Session
10. 10
Organisations & initiatives seen as pioneers in
realizing full value from research data
exercise considerable influence in the
development of standards for data exchange
and will provide valuable insights to the entire
range of RDA activity
regularly briefed on developments in data
interoperability with equally regular opportunity
to provide feedbackon activity and suggestions
on next steps
Organisation & Affiliate Members
14. 14
RDA Plenary 3 (Dublin)
March 26-28, 2014
Theme : “Playing YOUR part”
500 attendees from 35 countries
Hosted by Ireland and Australia
Co-located events:
EUDAT Training
MUMIA Meeting on Verifiable Results in Multi-
lingual/Multi-faceted Search: Challenges in
Sharing Data, Tools and Results Workshop
SIM4RDM: Building Collaborations to address
research data management workshop
APARSEN-EUDAT-SCIDIP-ES Workshop on
Data Preservation and Re-use
Focus on emerging professionals :
RDA/EU sponsored 22 European Early Career
Researchers and Scientists
RDA/US sponsored 8 Student Interns
15. 15
September 22-24, 2014
Theme : “Reaping the Fruits”
550 attendees from 40+ countries
Co-hosted by Netherlands
Co-located conferences:
EUDAT Conference
Crowd Computing 2014
Data Seal of Approval Conference 2014, etc.
1st RDA deliverables presented:
Data Type Registries
PID Information Types
Practical Policy
Data Foundation and Terminology
Focus on emerging professionals :
RDA/EU sponsored 14 European Early
Career Researchers and Scientists
RDA/US sponsored 8 Student Interns and
5 Early Career and Student Fellows
RDA Plenary 4 (Amsterdam)
16. 16
March 8-11, 2015
Theme : “Adopt-a-Deliverable”
383 attendees from 30 countries
Supported by the San Diego Super
Computing Center
1st
Adoption Day & Large scale data
projects meeting
2nd
Set of RDA deliverables presented:
Data Citation: Making Data Citable
Data Description Registry Interoperability
Metadata Standards Directory
Wheat Data Interoperability
Focus on emerging professionals :
RDA/EU sponsored 5 European Early Career
Researchers and Scientists
RDA/US sponsored 5 Fellowship winners
RDA Plenary 5 (San Diego, CA)
17. 17
RDA Plenary 6 (Paris)
When?
23-25 September 2015
Where?
CNAM, Paris, France
What?
Enterprise Engagement
with a focus on Research
Data for Climate Change
https://rd-alliance.org/plenary-meetings/rda-sixth-plenary-meeting.html
18. 18
Next Steps forRDA
Continuing pipeline of infrastructure deliverables
adopted and used to accelerate data sharing
Increasing coordination of infrastructure
Increasing cross-boundary collaborations
between domains, sectors, organizations
International and regional programs focusing on
workforce, outreach, expansion of infrastructure
impact
New partners in the Organizational Assembly
Focused strategy to support development of
industry infrastructure for data sharing
More Infrastructure
Partnership with
Industry
Synergistic Programs
Effective Community
22. 22
europe.rd-alliance.org – the European plug-in
Encouraging European
participation to RDA
Promoting the Reseach
Data Alliance in Europe
Ensuring sustainability
through continuous
European contributions
Promoting RDA output
adoption in Europe