The document summarizes the Research Data Alliance (RDA), including its vision of open data sharing across disciplines to address societal challenges, groups working on specific issues, and governance structure involving a council, secretariat, and technical advisory board to guide its work. RDA has over 4,000 members from over 100 countries working in various interest and working groups to develop standards and recommendations to make data sharing and use more effective.
COURSE OUTLINE - GEND 2013 - MEN AND MASCULINITIES - DR GABRIELLE HOSEIN - SI...Jake Wyatt
This document outlines the course details for GEND2013: Men and Masculinities in the Caribbean, including the course description, objectives, expectations, assignments, schedule and assessment criteria. The course aims to develop an awareness of issues involving the study of men and masculinities, as well as pro-feminist men's movement building, through an interdisciplinary lens. Key assignments include a press release on International Men's Day and a popular action project and report to raise awareness on an issue of choice in a public space on campus. Students will be evaluated based on their understanding and application of course concepts, use of readings, and effective communication through written work.
This document summarizes the RDMRose project which created open educational resources to help library staff develop skills and competencies in research data management (RDM). The project was a partnership between three UK universities (Leeds, Sheffield, York) and involved developing an 8-part curriculum covering key RDM topics. Materials included slides, readings, activities and interviews. The curriculum was delivered to and evaluated by library staff, and the materials are available online for self-paced professional development in RDM. The goal is to help libraries play a greater role in supporting researchers with RDM as it becomes increasingly important.
Linked data presentation for libraries (COMO)robin fay
The document provides an overview of linked data and libraries. It discusses basic principles of linked data such as reusing and linking data to make it reusable, easy to correct, and potentially useful to others. The document also discusses how linked data fits into the semantic web vision by allowing machines to better understand and utilize data. Finally, it discusses getting started with linked data through terminology, advantages, and modeling library data in linked data formats like RDF.
Keynote speech - Carole Goble - Jisc Digital Festival 2015Jisc
Carole Goble is a professor in the school of computer science at the University of Manchester.
In this keynote, Carole offered her insights into research data management and data centres.
This presentation was provided by Kristi Holmes of Northwestern University during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
The Research Data Alliance aims to build social and technical infrastructure for data sharing worldwide. It brings together members in Working Groups and Interest Groups to develop solutions to specific data infrastructure challenges. Recent Working Group deliverables include recommendations for dynamically citing changing datasets, a prototype metadata standards directory, and a common framework for wheat data terminology. The Data Citation Working Group focused on identifying and citing subsets of large, dynamic datasets in a machine-readable way through approaches like data versioning and timestamping.
XSEDE (Extreme Science and Engineering Discovery Environment) is a digital infrastructure that provides researchers with integrated advanced computing, data, and visualization resources. It aims to enhance scientific productivity through access to these resources and expert support services. XSEDE involves multiple partner institutions and over $100 million in computing resources. It seeks to support open science, enable new multidisciplinary collaborations, and help tackle society's grand challenges.
Slides | Targeting the librarian’s role in research servicesLibrary_Connect
Slides from the Nov. 8, 2016 Library Connect webinar "Targeting the librarian’s role in research services" with Nina Exner, Amanda Horsman and Mark Reed. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=223121
COURSE OUTLINE - GEND 2013 - MEN AND MASCULINITIES - DR GABRIELLE HOSEIN - SI...Jake Wyatt
This document outlines the course details for GEND2013: Men and Masculinities in the Caribbean, including the course description, objectives, expectations, assignments, schedule and assessment criteria. The course aims to develop an awareness of issues involving the study of men and masculinities, as well as pro-feminist men's movement building, through an interdisciplinary lens. Key assignments include a press release on International Men's Day and a popular action project and report to raise awareness on an issue of choice in a public space on campus. Students will be evaluated based on their understanding and application of course concepts, use of readings, and effective communication through written work.
This document summarizes the RDMRose project which created open educational resources to help library staff develop skills and competencies in research data management (RDM). The project was a partnership between three UK universities (Leeds, Sheffield, York) and involved developing an 8-part curriculum covering key RDM topics. Materials included slides, readings, activities and interviews. The curriculum was delivered to and evaluated by library staff, and the materials are available online for self-paced professional development in RDM. The goal is to help libraries play a greater role in supporting researchers with RDM as it becomes increasingly important.
Linked data presentation for libraries (COMO)robin fay
The document provides an overview of linked data and libraries. It discusses basic principles of linked data such as reusing and linking data to make it reusable, easy to correct, and potentially useful to others. The document also discusses how linked data fits into the semantic web vision by allowing machines to better understand and utilize data. Finally, it discusses getting started with linked data through terminology, advantages, and modeling library data in linked data formats like RDF.
Keynote speech - Carole Goble - Jisc Digital Festival 2015Jisc
Carole Goble is a professor in the school of computer science at the University of Manchester.
In this keynote, Carole offered her insights into research data management and data centres.
This presentation was provided by Kristi Holmes of Northwestern University during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
The Research Data Alliance aims to build social and technical infrastructure for data sharing worldwide. It brings together members in Working Groups and Interest Groups to develop solutions to specific data infrastructure challenges. Recent Working Group deliverables include recommendations for dynamically citing changing datasets, a prototype metadata standards directory, and a common framework for wheat data terminology. The Data Citation Working Group focused on identifying and citing subsets of large, dynamic datasets in a machine-readable way through approaches like data versioning and timestamping.
XSEDE (Extreme Science and Engineering Discovery Environment) is a digital infrastructure that provides researchers with integrated advanced computing, data, and visualization resources. It aims to enhance scientific productivity through access to these resources and expert support services. XSEDE involves multiple partner institutions and over $100 million in computing resources. It seeks to support open science, enable new multidisciplinary collaborations, and help tackle society's grand challenges.
Slides | Targeting the librarian’s role in research servicesLibrary_Connect
Slides from the Nov. 8, 2016 Library Connect webinar "Targeting the librarian’s role in research services" with Nina Exner, Amanda Horsman and Mark Reed. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=223121
SPARC Repositories conference in Baltimore - Nov 2010Jisc
1. The document discusses the reasons for and vision of creating a global network of repositories to openly share knowledge and data.
2. Key reasons for a global network include enabling open access to information, supporting science through linked data, and aligning with universities' responsibilities to the public.
3. The ideal vision is to build socio-technical infrastructure similar to what was created in the 1880s to support electricity, in order to manage and share linked, open, and trusted data globally through repository networks.
CREOL alumnus Dr. Tiejun Xia organized the first industrial round table meeting and formation of the Advanced Fiber Connectivity & Switching (AFCS) industrial forum in San Diego earlier this year. Dr. Xia holds a Ph.D. from CREOL and is currently a Distinguished Member of Technical Staff at Verizon Communications, where he leads optical network technology development. He is also co-founder of the AFCS industrial forum.
Slides from Monday 30 July - Data in the Scholarly Communications Life Cycle Course which is part of the FORCE11 Scholarly Communications Institute.
Presenter - Natasha Simons
February 18 2014 NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Capacity Building: Leveraging existing library networks to take on research data
Heidi Imker, Director of the Research Data Service, University of Illinois at Urbana-Champaign
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Building Best Practices in Research Data Management: Tisch Library’s Initiatives
Regina F. Raboin, Science Research and Instruction Librarian/ Data Management Services Group Coordinator, Tisch Library, Tufts University
This document discusses change management for libraries in the digital age. It notes that digital technologies are blurring traditional lines between types of resources, institutions, and access to information. Users now expect online access and searching across all information formats and locations. The management of digital information requires investment in people, technology, and resources. Libraries must develop new skills and roles to integrate physical and digital collections and provide one-stop searching. Repositories are important for managing and preserving the growing amount of digital research output and data. Metadata standards help link resources across repositories at multiple levels from institutional to international.
NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Enabling transparency and efficiency in the research landscape
Dr. Melissa Haendel, Associate Professor, Ontology Development Group, OHSU Library, Department of Medical Informatics and Epidemiology, Oregon Health & Science University
Libraries, change management and professional development: discovering an app...RAILS7
The document discusses using Appreciative Inquiry (AI) as a positive change management approach for library organizations. It describes AI and its key features, assumptions, and 4-D model of Discovery, Dream, Design, and Destiny. The research involved applying AI in two stages at a library organization - first to form exceptional change-ready teams, then to develop professional skills. Outcomes included identifying strengths, values, and skills as well as creating a professional development strategy and portal. Limitations and opportunities for further research using AI are also outlined.
The Ohio Center of Excellence in Knowledge-enabled Computing at Wright State University:
1) Shares the second position globally in impact on the World Wide Web and has the largest academic research group in the US working on semantic web, social media, big data, and health applications.
2) Has exceptional student success with internships and jobs at top companies and a total of 100 researchers including 15 highly cited faculty and 45 PhD students, largely funded through $2M+ annually in research funding.
3) Provides world-class resources for multidisciplinary projects across information technology and domains like biomedicine, with collaboration from industry partners like Google and IBM.
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Jared Lyle, ICPSR
Jennifer Doty, Emory University
Joel Herndon, Duke University
Libbie Stephenson, University of California, Los Angeles
The document summarizes the African Open Science Platform (AOSP), an initiative to create an open digital ecosystem in Africa. It discusses AOSP's goals of building capacities, policies, shared computing resources, and tools to support open science and interaction with societal stakeholders. It also outlines AOSP's governance structure, initial activities, key supporting communities, the current African open science landscape, and a framework for future policy, infrastructure, capacity building, and incentives to further open science on the continent.
A Digital Library Initiative for Scholarly Monographs: An Activity Theory Ana...Jennifer McCauley
The document summarizes research on a digital library initiative between a university library and press to provide dual print and electronic delivery of scholarly monographs. It describes the stakeholders and contextual tensions between the organizations. An activity theory analysis identified various activities within the initiative and stressors that influenced the selection and implementation of technologies. The implications suggest further exploration of uncertainty and stressors within digital library activities.
This document summarizes a presentation about open data and science in Africa. It discusses the benefits of open data, such as enabling more informed decisions and driving development. It also addresses challenges like researchers' fears of having errors or incomplete data exposed. The presentation promotes the African Open Science Platform, which aims to establish open data policies and build capacity through workshops on data skills. The platform connects stakeholders to advance open data and science across Africa.
This document summarizes research on incentives for researchers to share their data. It discusses findings from qualitative interviews and quantitative surveys. Key findings include:
- Individual researchers are motivated by benefits to their own research, career, and discipline's norms. They are influenced by funder and journal policies.
- Institutional supports like data infrastructure, funding, and training also influence researchers' data sharing practices. Funder requirements and assistance with data management increase sharing.
- Studies found the main individual motivations are career benefits and research impact. The main institutional factors are skills training, support services, and policies that ensure proper data reuse and acknowledgement.
Stuart Weibel discusses missing pieces in establishing globally interoperable metadata systems. Experts identify the most important missing pieces as tools to support metadata reuse across domains and widespread adoption of common metadata approaches. Conceptual issues include a lack of research on decentralized data management and choosing vocabularies. Organizational impediments include economic models that inhibit data sharing and the difficulty of getting organizations to adopt common standards due to inertia and lack of clear paths forward. Addressing these issues would improve prospects for interoperable metadata systems.
Slides | Research data literacy and the libraryColleen DeLory
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Sarah Wright, Christian Lauersen and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
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 9,499 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.
SPARC Repositories conference in Baltimore - Nov 2010Jisc
1. The document discusses the reasons for and vision of creating a global network of repositories to openly share knowledge and data.
2. Key reasons for a global network include enabling open access to information, supporting science through linked data, and aligning with universities' responsibilities to the public.
3. The ideal vision is to build socio-technical infrastructure similar to what was created in the 1880s to support electricity, in order to manage and share linked, open, and trusted data globally through repository networks.
CREOL alumnus Dr. Tiejun Xia organized the first industrial round table meeting and formation of the Advanced Fiber Connectivity & Switching (AFCS) industrial forum in San Diego earlier this year. Dr. Xia holds a Ph.D. from CREOL and is currently a Distinguished Member of Technical Staff at Verizon Communications, where he leads optical network technology development. He is also co-founder of the AFCS industrial forum.
Slides from Monday 30 July - Data in the Scholarly Communications Life Cycle Course which is part of the FORCE11 Scholarly Communications Institute.
Presenter - Natasha Simons
February 18 2014 NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Capacity Building: Leveraging existing library networks to take on research data
Heidi Imker, Director of the Research Data Service, University of Illinois at Urbana-Champaign
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Building Best Practices in Research Data Management: Tisch Library’s Initiatives
Regina F. Raboin, Science Research and Instruction Librarian/ Data Management Services Group Coordinator, Tisch Library, Tufts University
This document discusses change management for libraries in the digital age. It notes that digital technologies are blurring traditional lines between types of resources, institutions, and access to information. Users now expect online access and searching across all information formats and locations. The management of digital information requires investment in people, technology, and resources. Libraries must develop new skills and roles to integrate physical and digital collections and provide one-stop searching. Repositories are important for managing and preserving the growing amount of digital research output and data. Metadata standards help link resources across repositories at multiple levels from institutional to international.
NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Enabling transparency and efficiency in the research landscape
Dr. Melissa Haendel, Associate Professor, Ontology Development Group, OHSU Library, Department of Medical Informatics and Epidemiology, Oregon Health & Science University
Libraries, change management and professional development: discovering an app...RAILS7
The document discusses using Appreciative Inquiry (AI) as a positive change management approach for library organizations. It describes AI and its key features, assumptions, and 4-D model of Discovery, Dream, Design, and Destiny. The research involved applying AI in two stages at a library organization - first to form exceptional change-ready teams, then to develop professional skills. Outcomes included identifying strengths, values, and skills as well as creating a professional development strategy and portal. Limitations and opportunities for further research using AI are also outlined.
The Ohio Center of Excellence in Knowledge-enabled Computing at Wright State University:
1) Shares the second position globally in impact on the World Wide Web and has the largest academic research group in the US working on semantic web, social media, big data, and health applications.
2) Has exceptional student success with internships and jobs at top companies and a total of 100 researchers including 15 highly cited faculty and 45 PhD students, largely funded through $2M+ annually in research funding.
3) Provides world-class resources for multidisciplinary projects across information technology and domains like biomedicine, with collaboration from industry partners like Google and IBM.
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Jared Lyle, ICPSR
Jennifer Doty, Emory University
Joel Herndon, Duke University
Libbie Stephenson, University of California, Los Angeles
The document summarizes the African Open Science Platform (AOSP), an initiative to create an open digital ecosystem in Africa. It discusses AOSP's goals of building capacities, policies, shared computing resources, and tools to support open science and interaction with societal stakeholders. It also outlines AOSP's governance structure, initial activities, key supporting communities, the current African open science landscape, and a framework for future policy, infrastructure, capacity building, and incentives to further open science on the continent.
A Digital Library Initiative for Scholarly Monographs: An Activity Theory Ana...Jennifer McCauley
The document summarizes research on a digital library initiative between a university library and press to provide dual print and electronic delivery of scholarly monographs. It describes the stakeholders and contextual tensions between the organizations. An activity theory analysis identified various activities within the initiative and stressors that influenced the selection and implementation of technologies. The implications suggest further exploration of uncertainty and stressors within digital library activities.
This document summarizes a presentation about open data and science in Africa. It discusses the benefits of open data, such as enabling more informed decisions and driving development. It also addresses challenges like researchers' fears of having errors or incomplete data exposed. The presentation promotes the African Open Science Platform, which aims to establish open data policies and build capacity through workshops on data skills. The platform connects stakeholders to advance open data and science across Africa.
This document summarizes research on incentives for researchers to share their data. It discusses findings from qualitative interviews and quantitative surveys. Key findings include:
- Individual researchers are motivated by benefits to their own research, career, and discipline's norms. They are influenced by funder and journal policies.
- Institutional supports like data infrastructure, funding, and training also influence researchers' data sharing practices. Funder requirements and assistance with data management increase sharing.
- Studies found the main individual motivations are career benefits and research impact. The main institutional factors are skills training, support services, and policies that ensure proper data reuse and acknowledgement.
Stuart Weibel discusses missing pieces in establishing globally interoperable metadata systems. Experts identify the most important missing pieces as tools to support metadata reuse across domains and widespread adoption of common metadata approaches. Conceptual issues include a lack of research on decentralized data management and choosing vocabularies. Organizational impediments include economic models that inhibit data sharing and the difficulty of getting organizations to adopt common standards due to inertia and lack of clear paths forward. Addressing these issues would improve prospects for interoperable metadata systems.
Slides | Research data literacy and the libraryColleen DeLory
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Sarah Wright, Christian Lauersen and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
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 9,499 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.
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.
Crossref LIVE: The Benefits of Open Infrastructure (APAC time zones) - 29th O...Crossref
In November 2020, Crossref formally adopted the “Principles of Open Scholarly Infrastructure” (POSI). POSI is a list of sixteen commitments that will now guide the board, staff, and Crossref’s development as an organisation into the future.
This webinar took place on the 29th October at 03:00 PM AEST (UTC+10) and covered:
- What are the Principles of Open Scholarly Infrastructure (POSI) and why are they needed?
- Why POSI is important for Crossref and how it will help realise the Research Nexus
- Open metadata and infrastructure services from Crossref
Presented in English by Cameron Neylon, Professor of Research Communications, Centre for Culture and Technology, at Curtin University, Amanda Bartell, Head of Member Experience at Crossref, and Vanessa Fairhurst, Community Engagement Manager at Crossref.
The document discusses the Research Data Alliance (RDA), an international organization focused on building the infrastructure to support open sharing of research data. It provides an overview of RDA's governance structure, which includes councils, working groups, and interest groups that work to develop technical standards and social agreements to advance open data sharing. The document also notes RDA's growing global membership across academic, government, and commercial organizations and its efforts to address barriers to data sharing through the development and adoption of infrastructure components.
The document summarizes Susanna-Assunta Sansone's presentation on enabling FAIR (Findable, Accessible, Interoperable, Reusable) digital resources. It discusses the driving forces behind FAIR including reproducibility crises, new data types, and changing publishing. It then outlines community efforts to develop standards, policies, and tools to improve metadata and data sharing according to FAIR principles. These include domain-specific standards, the FAIRsharing registry, metrics to assess FAIRness, and ongoing work to provide FAIR guidance and services.
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.
Research Data Alliance: Creating the culture and technology for an internatio...Research Data Alliance
The Research Data Alliance is an international organization working to build the social and technical infrastructure to enable open sharing of data across disciplines, technologies, and countries. Its vision is for researchers to openly share data to address societal challenges. The RDA has over 900 members from 51 countries and hosts working groups and interest groups to develop standards, best practices, and other deliverables to promote data sharing. Upcoming activities include the next plenary meeting in Dublin and growing the RDA's organizational membership.
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. 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 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 9,859 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.
Overview to: BBSRC Oxford Doctoral Training Partnership - Dr Sansone - July 2014Susanna-Assunta Sansone
What to know when planning for your data management strategy and preparing a data management statement for a research proposal for BBSRC DTP first year students
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.
This presentation discusses the Research Data Alliance (RDA). RDA has grown to over 2,700 members from 95 countries seeking to openly share data across technologies and disciplines. Its vision is for researchers to address societal challenges through open data sharing. RDA builds social and technical bridges to enable this through 38 interest groups and 16 working groups. Key themes discussed include persistent identifiers for data and entities, and certifying trust in assertions and organizations. The value of relationships and mediation is also emphasized.
Behind the FAIR Brand: Thinkers, Doers and Dreamers discusses the development of FAIR (Findable, Accessible, Interoperable, Reusable) principles for digital assets. It outlines how FAIR was developed in 2014-2016 with researcher endorsement and describes ongoing work to implement FAIR through infrastructure programs, standards, policies and cultural changes to realize the benefits of better organized and accessible data. The talk highlights the collaborative effort still needed across many stakeholders to make digital resources FAIR.
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.
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 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 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 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 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.
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 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.
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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1. Unless otherwise noted, the slides in this presentation are licensed by Mark A. Parsons under a Creative Commons Attribution-Share Alike 3.0 License
Research Data Alliance:
Philosophy, Structure, and Governance
Mark A. Parsons
0000-0002-7723-0950
Secretary General
RDA for Newcomers
Denver, CO, USA
15 September 2016
2. Research Data Alliance
Vision
Researchers and innovators openly share data across
technologies, disciplines, and countries to address the
grand challenges of society.
Mission
RDA builds the social and technical bridges that enable
open sharing of data.
3. Recommendations that make data work
“Create - Adopt - Use”
• Adopted code, policy, specifications, standards, or practices that
enable data sharing
• “Harvestable” efforts for which 12-18 months of work can eliminate
a roadblock
• Efforts that have substantive applicability to
groups within the data community but may
not apply to all
• Efforts that can start today
RDA Principles
Openness
Consensus
Balance
Harmonization
Community Driven
Non-profit
4. “Create - Adopt - Use”
(in 12-18 months)
Systems
Interoperability
Adopted Policy
Sustainable Economics
Common Types,
Standards, Metadata
Traffic Image:
Mike Gonzalez
Adopted Community
Practice
Training, Education,
Workforce
5. Solving the problem must include adopters in
the process.
Image courtesy bigthink.com
7. No defined architecture.
Figure courtesy edrawsoft.com
See Blog post at
https://rd-
alliance.org/blogs/building-
infrastructure-through-strategies-
interconnection.html
8. Map of the internet by the Opte Project [CC-BY] via Wikimedia
Commons
9. Africa
3%
Asia
9%
Australasia
5%
Europe
48%
North America
34%
South America
1%
Total RDA Community Members: 4345
from 111 countries
Who is RDA?
Type
Members
(Sept. 2016)
Press & Media 27
Policy/Funding Agency 64
Large Enterprise 99
IT Consultancy/Development 143
Small and Medium Enterprise 249
Other 235
Government/Public Services 671
Academia/Research 2857
TOTAL 4345
www.rd-alliance.org/about-rda
392
989
1272
1654
2046
2402
2634
2877
3122
3431
3694
4016
4273
4345
May - July Aug - Oct Nov - Jan Feb - Apr May - July Aug - Oct Nov - Jan Feb -Apr May - July Aug -Oct Nov - Jan Feb- Apr May - July Aug - Oct
www.rd-alliance.org
@resdatall
Total 73 groups: 27 Working
Groups & 46 Interest Groups
10. Some themes amidst the difference
1. Persistent Identifiers for data, documents, people,
organisations, instruments—Everything!
2. Certifying Trust in assertions, evidence, organisations,
processes…
3. The value of Conversations, Relationships, and Mediation
— an agile network effect.
11. Funders Forum
Interest Groups
domain coordination, idea generation, maintenance, …
RDAMembership Working Groups
implementable, impactful outcomes
Council
organisational vision and strategy
Technical
Advisory
Board
socio-technical
vision and strategy
Secretariat
administration and
operations
Organisationa
l
Advisory
Board
needs, adoption,
business advice
RDA
Foundatio
n
12. RDA is you … The members …
The Community
Contributing to acceleration of data infrastructure development
Working and sharing experiences with collaborators throughout the
world
Accessing extraordinary network of colleagues with various levels
of experience, perspectives and practices
Gaining greater expertise in data science regardless of whether one
is a student, early or seasoned career professional
Enhancing the quality and effectiveness of personal work and
activities
Improving competitive advantage professionally and positioning
oneself for leadership within the broader research community
Creating, managing & driving RDA Working & Interest groups with
fellow global colleagues and Commenting on Outputs
13. Funders Forum
Interest Groups
domain coordination, idea generation, maintenance, …
RDAMembership Working Groups
implementable, impactful outcomes
Council
organisational vision and strategy
Technical
Advisory
Board
socio-technical
vision and strategy
Secretariat
administration and
operations
Organisationa
l
Advisory
Board
needs, adoption,
business advice
RDA
Foundatio
n
14. RDA Secretariat
Responsible for the administration and
daily operations.
Contact: secretariat@rda-groups.org
rd-alliance.org
Mark Parsons -
Secretary General
Timea Biro - RDA/EU
and Trust-IT Services
Ltd.
Kathy Fontaine –
volunteer, Rensselaer
Polytechnic Institute
Hilary Hanahoe –
RDA/EU and Trust-IT
Services Ltd
Fotis Karayannis –
RDA/EU and ATHENA
Research Center
Stefanie Kethers –
Australian National Data
Service
Yolanda Meleco -
RDA/US and Rensselaer
Polytechnic Institute
Sara Pittonet Gaiarin –
RDA/EU and Trust IT
Services Ltd
Lynn Yarmey– RDA/US
and Rensselaer
Polytechnic Institute
15. TAB Members
Wenbo Chu National
Science and
Technology
Infrastructure Center of
China
Simon J D Cox CSIRO
Australia
Stephen Diggs - Scripps
Institution of
Oceanography (SIO)
Ingrid Dillo Data
Archiving and
Networked Services
Peter Fox - Tetherless
World Constellation
Chair
Françoise Genova -
Strasbourg
Astronomical Data
Centre CDS (TAB co-
chair)
Larry Lannom
Corporation for
National Research
Initiatives
Carole Palmer
Information School at
the University of
Washington
Susanna-Assunta Sansone
University of Oxford e-
Research Centre
Rainer Stotzka
Karlsruhe Institute of
Technology
Andrew Treloar
Australian National
Data Service (TAB co-
chair)
Peter Wittenburg Max
Planck Computing and
Data Facility
16. Technical Advisory Board (TAB)
Responsible for the technical direction of the RDA
and provides technical expertise and advice to
Council, as well as helping to develop and review
RDA Working and Interest Groups to promote their
impact and effectiveness.
TAB members normally serve for a term of 3 years
and may be re-elected. Each year, approximately
one‐third of the TAB stand down and their positions
will be filled by election. TAB Representatives are
elected by RDA membership.
TAB Election: opens today!
Contact: tab@rda-groups.org
17. TAB Members
Wenbo Chu National
Science and
Technology
Infrastructure Center of
China
Simon J D Cox CSIRO
Australia
Stephen Diggs - Scripps
Institution of
Oceanography (SIO)
Ingrid Dillo Data
Archiving and
Networked Services
Peter Fox - Tetherless
World Constellation
Chair
Françoise Genova -
Strasbourg
Astronomical Data
Centre CDS (TAB co-
chair)
Larry Lannom
Corporation for
National Research
Initiatives
Carole Palmer
Information School at
the University of
Washington
Susanna-Assunta Sansone
University of Oxford e-
Research Centre
Rainer Stotzka
Karlsruhe Institute of
Technology
Andrew Treloar
Australian National
Data Service (TAB co-
chair)
Peter Wittenburg Max
Planck Computing and
Data Facility
20. To provide an organizational perspective on the work of RDA and ability to
influence RDA’s direction
To assist in implementation of RDA Outputs
To participate in all RDA Organizational assembly meetings
To receive regular updates on the work of the RDA
To attend Organizational Assembly meetings and vote on proposed policies for
consideration by the RDA Council and for members of the Organizational
Advisory Board
To provide advice to the Council through the Organizational Advisory Board
To be recognized on the RDA Website and at RDA Meetings as a supporter of
data interoperability
Why do global organisations
join RDA?
21. RDA Council
Responsible for the oversight, sustainability, and
overall success of RDA, including approval of
candidate Working and Interest Groups to ensure
alignment with RDA goals.
rd-alliance.org
Fran Berman - Co-Chair, RDA
Council & Chair, RDA/US
Distinguished Professor of
Computer Science, Rensselaer
Polytechnic Institute
Patrick Cocquet - Chief
Executive Officer, Cap
Digital
Jean-Bernard Minster –
Professor, Scripps
Institution of
Oceanography
Kay Raseroka - Independent
consultant and Trainer, IFLA
Building Strong Library
Associations
Satoshi Sekiguchi - Deputy
Director General, Directorate
for Information Technology
and Electronics, AIST
Michael Stanton - Director of
Research and Development at the
Brazilian NREN (RNP)
Doris Wedlich - Chief Science
Officer, Karlsruhe Institute of
Technology
Ross Wilkinson - Executive
Director, Australian National
Data Service
John Wood - Co-chair, RDA Council &
Secretary General of the Association of
Commonwealth Universities
22. Funders Forum
Interest Groups
domain coordination, idea generation, maintenance, …
RDAMembership Working Groups
implementable, impactful outcomes
Council
organisational vision and strategy
Technical
Advisory
Board
socio-technical
vision and strategy
Secretariat
administration and
operations
Organisationa
l
Advisory
Board
needs, adoption,
business advice
RDA
Foundatio
n
25. RDA in a Nutshell
WWW.RD-ALLIANCE.ORG/
@RESDATALL
RDA Global
Email - enquiries@rd-alliance.org
Web - www.rd-alliance.org
Twitter - @resdatall
LinkedIn -
www.linkedin.com/in/ResearchDataAlliance
Slideshare -
http://www.slideshare.net/ResearchDataAlliance
Facebook -
https://www.facebook.com/pages/Research-
Data-Alliance/459608890798924
RDA Europe
Email - info@europe.rd-alliance.org
Web - europe.rd-alliance.org
Twitter - @RDA_Europe
RDA US
Twitter - @RDA_US
Editor's Notes
Point here is to emphasize our principles (which influence the business model) and our implementation based philosophy which has driven our growth but also demands more coordination.
Adoption built in!
1st. We insist that organisations committed to adopting the solution being developed are involved. That ensures that we are addressing real problems. those early adopters are important.
2nd. all our WGs are open. Open problem solving is key. We want to capture the enthusiasts and get all the relevant perspectives. We’re big into consensus, but we define it quite loosely. Basically we say if there is a constituency using the output developed, that’s a level of consensus.
And problem solving really needs to be done in a glocal way too. The agriculture community has figured out a way to do this really well. The have established an agricultural IG in RDA which kinda acts like their network facilitator—their Willie Nelson. The IG then identifies specific issues to address and whether they need to be addressed within the ag community or whether they should be addressed in a more global forum like some of the other RDA working groups, or if they need to establish a new WG to address particular issues. They spun up a wheat interoperability WG and are now working on a soils data WG.
So we know this. We know to solve problems. Be use case driven. But too often we get caught up in our own engineering concerns of building the system. This leads me to another point.
Not only do we not believe in heavy top-down approaches we explicitly eschew developing a central “architecture.” We let our WGs work on whatever they think is important and really only unite under a set of guiding principles.
We agree with my friend Øystein Godøy who said I don’t want to build a system so much as a set of tools. (social and technical tools).
Furthermore we observe how these tools these bridges interconnect. We don’t define how they interconnect.
And we are already beginning to see that organic interconnection in RDA. We have nearly 60 groups. and about a dozen formal recommendations plus some other important outputs. And they are finding ways to interconnect on their own.
Second these new systems (infrastructures?) follow a similar rather organic pattern of light central control of broad and diverse local systems. It’s much like the internet. Much like ecosystems. Indeed this is how networks work. Diverse hubs connected through often very weak ties.
PIDs, trust, and the value of Community relationships. And these themes are all closely interrelated and discussion continues
Mark Bide remarks at the 20th anniversary of the DOI:
"if the barriers to achieving universality of identity management are not primarily technical, if the same identifier system can equally be used to identify scholarly journal articles and Hollywood movies, where do they lie? It is often assumed by those on the outside of the standards world that standards are simply about technology. The best technical solution will always win. In reality, what those of us who have worked in standards know — one of our guilty secrets — is that standards implementation is mostly about establishing acceptable social norms to which people willingly adhere. How does that come about? The answer is primarily encapsulated in a single word, a single concept: trust.
He goes on to say that "while we all talk about "neutrality" in the standards world, there is another hidden and often unacknowledged secret in standards making: no standard can ever be wholly neutral. Every standard has an unspoken "point of view", a set of assumptions that informs its entire specification.
[But]
It is also important that the specification represents a consensus "point of view" among those who implement it
Trust is similarly central to data sharing. Data sharing is where the friction occurs and therefore where trust is prominent and essential
Use this to illustrate what coordination elements need support
Guiding Principles:
Openness
Consensus
Balance
Harmonization
Community-driven
Non-profit and technology-neutral
Use this to illustrate what coordination elements need support
They’ll have ribbons. Ask them questions. TAB is having an election
They’ll have ribbons. Ask them questions. TAB is having an election
Guiding Principles:
Openness
Consensus
Balance
Harmonization
Community-driven
Non-profit and technology-neutral