The Research Data Alliance: Opportunities for Public/Private Partnerships in Data Sharing

25
The Research Data Alliance: Opportunities for Public/Private Partnerships in Data Sharing Robert Hanisch Office of Data and Informatics Material Measurement Laboratory National Institute of Standards and Technology [email protected]

Transcript of The Research Data Alliance: Opportunities for Public/Private Partnerships in Data Sharing

Page 1: 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

[email protected]

Page 2: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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.

2

Page 3: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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.

3

Page 4: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

Hanisch, CDAC, 5/6/2016

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!

4

Page 5: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

5

Page 6: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

Page 7: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

Hanisch, CDAC, 5/6/2016

Organizational & Affiliate Members

RDA Affiliate Members

https://rd-alliance.org/organisation/rda-organisation-affiliate-members.html

RDA Organisational Members

7

Page 8: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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, …

8

Total 73 groups: 27 Working Groups &

45 Interest Groups

Page 9: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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.

9

Page 10: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

10

Page 11: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

Hanisch, CDAC, 5/6/2016

Who Benefits from RDA? 11

Individuals and Researchers

Enterprise and Business

Policy Makers and Funders

Page 12: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

12

Page 13: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

13

Page 14: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

14

Page 15: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

15

Page 16: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

16

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

Page 17: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

Hanisch, CDAC, 5/6/2016

Data for the Public Good: Responsibilities, Opportunities, and Dangers In a Data-Rich World

17

Page 18: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

Hanisch, CDAC, 5/6/2016

https://rd-alliance.org/plenary-meetings/rda-ninth-plenary-meeting.html

18

Page 19: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

19

Page 20: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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)

20

Page 21: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

21

Page 22: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

22

Page 23: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

23

Page 24: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

24

Page 25: The Research Data Alliance:  Opportunities for Public/Private Partnerships in Data Sharing

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

25