The Research Data Alliance: Opportunities for Public/Private Partnerships in Data Sharing
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Transcript of The Research Data Alliance: Opportunities for Public/Private Partnerships in Data Sharing
The Research Data Alliance: Opportunities for Public/Private Partnerships in Data
Sharing
Robert HanischOffice of Data and Informatics
Material Measurement LaboratoryNational Institute of Standards and Technology
Hanisch, CDAC, 5/6/2016
Why Am I Here?• Share information about the Research Data
Alliance, in particular…– to reach out to the private sector– identify RDA activities of benefit– identify areas where RDA could do more
• NIST's mission is to promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. RDA is fully within scope.
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Hanisch, CDAC, 5/6/2016
What is RDA?RDA is an international organization focused on the development of infrastructure and community activities that reduce barriers to data sharing and exchange, and the acceleration of data driven innovation worldwide.
With 4,000 members representing 110 countries, RDA includes data science professionals from multiple disciplines, including but not limited to academia, library sciences, earth science, astronomy and meteorology.
RDA is building the social and technical bridges that enable open sharing of data to achieve its vision of researchers and
innovators openly sharing data across technologies, disciplines, and countries to address the grand challenges of society.
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What Does RDA Do?
• Members come together through self-formed, volunteer, focussed Working Groups, exploratory Interest Groups to exchange knowledge, share discoveries, discuss barriers and potential solutions, explore and define policies and test as well as harmonise standards to enhance and facilitate global data sharing.
• RDA members collaborate together regionally and with the global RDA community to tackle numerous infrastructure challenges related to:
ReproducibilityData preservationBest practices for domain
repositoriesCurriculum developmentData citation
Data type registriesMetadataand so many more!
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Hanisch, CDAC, 5/6/2016
Who Can Join RDA?
• Any individual or organization, regardless of profession or discipline, with an interest in reducing the barriers to data sharing and exchange and who agrees to RDA’s guiding principles of:
– Openness– Consensus– Balance– Harmonization– Community-driven– Non-profit and technology-neutral
Membership is free @ http://www.rd-alliance.org/user/register
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Hanisch, CDAC, 5/6/2016
May - July
Aug - Oct
Nov - Jan
Feb - Apr
May - July
Aug - Oct
Nov - Jan
Feb -Apr May - July
Aug -Oct Nov - Jan
Feb- Apr
392991
12741656
20482404
26362881 3126 3434
3698
Africa3% Asia
9%
Australasia5%
Europe48%
North America34%
South America1%
Total RDA Community Members: 3976
from 110 countries
TypeMembers
(April 2016)Press & Media 25Policy/Funding Agency 59Large Enterprise 90IT Consultancy/Development 126Small and Medium Enterprise 223Other 213Government/Public Services 631Academia/Research 2609TOTAL 3976
Who is RDA? 6
Hanisch, CDAC, 5/6/2016
Organizational & Affiliate Members
RDA Affiliate Members
https://rd-alliance.org/organisation/rda-organisation-affiliate-members.html
RDA Organisational Members
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Hanisch, CDAC, 5/6/2016
Interest Groups and Working Groups• Domains: agriculture (rice, wheat),
biodiversity, chemistry, materials science, water, health, marine sciences, urban life, …
• Infrastructure: metadata, citation, security, data types, big data, discovery, interoperability, provenance, preservation, sustainability, …
• Social: privacy, ethics, legal, education and training, …
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Total 73 groups: 27 Working Groups &
45 Interest Groups
Hanisch, CDAC, 5/6/2016
Recommendations & Outputs
• Data Foundation & Terminology: a model for data in the registered domain.
• PID Information Types: a common protocol for providers and users of persistent ID services worldwide.
• Data Type Registries: allowing humans and machines to act on unknown, but registered, data types.
• Practical Policy: defining best practices of how to deal with data automatically and in a documented way with computer actionable policy.
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Hanisch, CDAC, 5/6/2016
Recommendations & Outputs• Metadata standards directory: Community curated
standards catalogue for metadata interoperability• Data Citation: defining mechanisms to reliably cite
dynamic data • Data Description Registry Interoperability solutions
enabling cross platform discovery based on existing open protocols and standards
• Wheat Data Interoperability impacting the discoverability, reusability and interoperability of wheat data by building a common framework for describing, representing linking and publishing wheat data
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Hanisch, CDAC, 5/6/2016
Who Benefits from RDA? 11
Individuals and Researchers
Enterprise and Business
Policy Makers and Funders
Hanisch, CDAC, 5/6/2016
Individuals and Researchers• Contribute to the accelerated development of useful data
infrastructure– more infrastructure to support data-sharing– more coordination and interoperability
• Expand professional horizons and improve specific efforts– Broader network of collaborators from around the world– Broader spectrum of disciplines, perspectives, practices, ideas
• Help create a broad, synergistic, and effective data community
– Engage with collaborators from multiple disciplines, multiple sectors, multiple countries, students to senior researchers
– Develop solutions to common data challenges around the world
• Improve one’s competitive advantage professionally and position oneself for leadership within the broader research community
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Hanisch, CDAC, 5/6/2016
Policy Makers and Funders• RDA reduces the cost of sharing data, and increases
the supply of sharable research data• RDA serves as a vehicle for
– Accelerating the development of national and global infrastructure needed to accelerate discovery
– Strengthening international, inter-disciplinary and inter-sector collaborations
– Promoting leadership and competitiveness of national research communities within a global environment
• RDA engagement can help increase national competitiveness
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Hanisch, CDAC, 5/6/2016
Enterprise and Business
• RDA builds “cyber”-infrastructure needed to access and use data world-wide
• RDA builds key components needed for successful businesses– Workforce (“human infrastructure”) – community with
expert skills in managing, using, mining, preserving data– Technical infrastructure – code, frameworks, tools, models that
support data sharing and data interoperability– Social infrastructure – common vocabularies, metadata categories,
etc. that support the development of tools and services
• RDA Recommendations lay the groundwork for the creation of new opportunities for innovation in business and research
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Hanisch, CDAC, 5/6/2016
RDA Plenary 6 (Paris) – 23- 25 Sept 2015 RDA deliverables presented:
Repository Audit and Certification DSA–WDS RDA/WDS Publishing Data Bibliometrics RDA/WDS Publishing Data Services RDA/WDS Publishing Data Workflows
7 Adoption cases: Deep Carbon Observatory, Platform for Experimental Collaborative Ethnography, Datafed.net, the Materials Innovation Infrastructure, EUDAT Collaborative Data Infrastructure, German Climate Computing Center (DKRZ) & Common Language Resources and Technology Infrastructure (CLARIN)
Focus on enterprise & climate change: 20 private sector organizations showcased
solutions 3 climate change data challenge winners –
Biovel, Plume Labs, Vizonomy Focus on emerging professionals :
RDA/EU sponsored 12 European Early Career Researchers and Scientists & RDA/US sponsored 8 Fellowship winners
Theme: “Enterprise Engagement with a focus on Climate Change”
700 attendees from 40+ countries & hosted by Cap Digital – France Co-located conferences:1. eInfrastructures & RDA for Data
Intensive Science2. Persistent Identifiers: Enabling
Services for Data Intensive Research
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7 RDA Recommendations/outputs presented: Repository Audit and Certification DSA–
WDS RDA/WDS Publishing Data Bibliometrics RDA/WDS Publishing Data Services RDA/WDS Publishing Data Workflows Wheat Data Interoperability
Recommendations RDA/CODATA Summer Schools in Data
Science and Cloud Computing in the Developing World Interim Recommendations
Brokering Governance Interim Recommendations
11 adoption presentations
• 30 international speakers over 5 plenary sessions
• 7 outputs & 11 adoption cases• 8 Working Group meetings• 25 Interest Group meetings• 10 Birds of a Feather• 9 Joint meetings• 2 Organisational Member
meetings• RDA for Newcomers Meeting
357 attendees from 33
countries
Hanisch, CDAC, 5/6/2016
Data for the Public Good: Responsibilities, Opportunities, and Dangers In a Data-Rich World
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Hanisch, CDAC, 5/6/2016
https://rd-alliance.org/plenary-meetings/rda-ninth-plenary-meeting.html
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Hanisch, CDAC, 5/6/2016
RDA in the USA• RDA/US Membership:
Currently 1200+ members from 45+ states)
• RDA/US Mission: Build RDA community in the U.S. and leverage RDA momentum to advance the U.S. data community
Top 10: California, Washington DC, New York, Maryland, Virginia, Illinois, Indiana, Massachusetts, North Carolina, Texas
Support from • NSF, NIST, NIH• Sloan and MacArthur
Foundations
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Hanisch, CDAC, 5/6/2016
RDA/US Adoption Projects
RDA/US is partnering with four groups as part of the MacArthur 2016 Adoption Seeds program
• Bringing visibility to food security data results, rice genome (International Rice Research Institute, Japan National Institute of Advanced Industrial Science and Technology, Indiana University)
• Implementation of the Research Data Alliance Data Citation Recommendations at the Biological and Chemical Oceanography Data Management Office (Woods Hole Oceanographic Institute)
• Moving Biomedical Big Data sharing forward: an adoption of the RDA Data Citation of Evolving Data Recommendation to Electronic Health Records (Washington University of St. Louis, NIH)
• Opening up Northern Forest Research Data – Improving Citation and Documentation Systems to Increase Participation in Publishing Data (University of Vermont, Vermont (forest) Monitoring Cooperative)
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Hanisch, CDAC, 5/6/2016
RDA GlobalEmail - [email protected] - www.rd-alliance.orgTwitter - @resdatallLinkedIn - www.linkedin.com/in/ResearchDataAllianceSlideshare - http://www.slideshare.net/ResearchDataAllianceFacebook - https://www.facebook.com/pages/Research-Data-Alliance/459608890798924
RDA EuropeEmail - [email protected] - europe.rd-alliance.orgTwitter - @RDA_Europe
RDA USTwitter - @RDA_US
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Hanisch, CDAC, 5/6/2016
For Discussion…
• Can we increase private-sector interest and investment in RDA?
• What aspects of RDA are most relevant to the private sector?
• What private sector issues can RDA help with?– Domain/subject matter focus areas– Infrastructure that supports interoperability– Infrastructure that supports value-added services
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Hanisch, CDAC, 5/6/2016
Interest Groups (IG) and Working Groups (WG) by Focus Area
Community Needs - focusedRDA/CODATA Summer Schools in Data Science and Cloud Computing in the Developing World WGArchives & Records Professionals for Research Data IGData for Development IGDevelopment of Cloud Computing Capacity and Education in Developing World Research IG
Education and Training on handling of research data IGEngagement IGEthics and Social Aspects of Data IG
Total 73 groups: 27 Working Groups & 45
Interest Groups
Domain Science - focusedAgri-semantics WGBioSharing Registry: connecting data policies, standards & databases in life sciences WGRice Data Interoperability WGWheat Data Interoperability WGAgriculture Data IG (IGAD)Biodiversity Data Integration IGChemistry Research Data IGDigital Practices in History and Ethnography IG
Geospatial IG
Global Water Information IGHealth Data IGMarine Data Harmonization IGMetabolomics Data Interoperability IGQuality of Urban Life IGRDA/CODATA Materials Data, Infrastructure & Interoperability Research data needs of the Photon and Neutron Science community IGStructural Biology IG
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Hanisch, CDAC, 5/6/2016
Reference and Sharing - focusedData Citation WGData Description Registry Interoperability WGData Security and Trust WGEmpirical Humanities Metadata WGRDA / WDS Publishing Data Bibliometrics WGResearch Data Collections WG
QoS-DataLC Definitions WGInternational Materials Resource Registries WGNational Data Services IGRDA/CODATA Legal Interoperability IGReproducibility IG
Partnership GroupsRDA / TDWG Metadata Standards for attribution of physical and digital collections stewardshipRDA/NISO Privacy Implications of Research Data Sets WGRepository Audit and Certification DSA–WDS Partnership WGRDA/WDS Publishing Data IG
ELIXIR Bridging Force IG
Total 73 groups: 27 Working Groups & 45
Interest Groups
Interest Groups (IG) and Working Groups (WG) by Focus Area
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Hanisch, CDAC, 5/6/2016
Data Stewardship and Services – focusedBrokering Framework WGBrokering Governance WGRDA / WDS Publishing Data Services WGRDA / WDS Publishing Data Workflows WGActive Data Management Plans IGData in Context IGData Rescue IGDomain Repositories IG
Libraries for Research Data IGLong tail of research data IGPreservation e-Infrastructure IGRDA/WDS Certification of Digital Repositories IGRDA/WDS Publishing Data Cost Recovery for Data Centres IGRepository Platforms for Research Data IGResearch Data Provenance IGVirtual Research Environments IG
Base Infrastructure – focusedArray Database WGData Foundation and Terminology WGData Type Registries WGMetadata Standards Catalog WGMetadata Standards Directory WGPID Information Types WGPractical Policy WGData Fabric IG
Data Foundations and Terminology IGData in Context IGBig Data IGBrokering IGFederated Identity Management IGMetadata IGPID IGService Management IGVocabulary Services IG
Total 73 groups: 27 Working Groups & 45
Interest Groups
Interest Groups (IG) and Working Groups (WG) by Focus Area
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