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Research Data Alliance - Research Data Sharing without barriers Terena Networking Conference May 2014 Research Data Alliance - Research Data Sharing without barriers Terena Networking Conference May 2014

The Vision 2 Researchers and innovators openly share data across technologies, disciplines, and countries The Vision 2 Researchers and innovators openly share data across technologies, disciplines, and countries to address the grand challenges of society. RDA is building the social and technical bridges that enable open sharing of data. Researchers, scientists, data practitioners from around the world are invited to work together with us to achieve the RDA vision 2

RDA – Research Data Alliance “Knowledge is the engine of our economy. And data RDA – Research Data Alliance “Knowledge is the engine of our economy. And data is its fuel. ” (Neelie Kroes, Vice-President of the European Commission) Data will become the key resource to tackle the big challenges in the world 3

RDA – Research Data Alliance How to tackle big challenges if data is highly RDA – Research Data Alliance How to tackle big challenges if data is highly fragmented by disciplines, domains and countries? RDA is building bridges to overcome the hurdles for easy data access, data sharing and interoperability by facilitating collaboration between experts from all over the world belonging to different disciplines and organisations 4

RDA – How does it work? 5 Experts and Data practitioners come together in RDA – How does it work? 5 Experts and Data practitioners come together in RDA Working and Interest Groups to overcome concrete hurdles They discuss matters at the Plenaries and on the RDA online platform

RDA Working Groups 6 Form the Foundation for RDA Community Impact! Working Groups envisioned RDA Working Groups 6 Form the Foundation for RDA Community Impact! Working Groups envisioned as accelerants to data sharing practice and infrastructure in the short-term with the overarching goal of advancing global data-driven discovery and innovation RDA Working Group profile: Short-term: 12 -18 months Focused efforts with specific actions adopted by specific communities International participation Open, voluntary, consensus-driven Potential outcomes / deliverables: • New data standards or harmonization of existing standards. • Greater data sharing, exchange, interoperability, usability and re-usability. • Greater discoverability of research data sets. • Better management, stewardship, and preservation of research data. Complementary to effective efforts elsewhere 6

RDA Interest Groups • An Interest Group (IGs) can be established prior to a RDA Interest Groups • An Interest Group (IGs) can be established prior to a Working Group for community discussion of issues and areas that facilitate data-driven research. • IGs are longer-term groups defining common issues and interests. • WGs and IGs are collaborating intensively with groups in comparable initiatives such as IETF, CODATA, WDS, W 3 C. 7

The RDA Engine – Working & Interest Groups 8 9 Working groups including Community The RDA Engine – Working & Interest Groups 8 9 Working groups including Community Capability Model, Data Citation, Data Foundation and Terminology, Data Type Registries. . . https: //rd-alliance. org/workinggroup-list. html 24 Interest groups including Agricultural Data Interoperability, Big Data Analytics. . . https: //rd-alliance. org/interestgroup-list. html including joint groups with CODATA and WDS 8

Examples from WGs Data Foundation and Terminology WG • Currently scientific communities are working Examples from WGs Data Foundation and Terminology WG • Currently scientific communities are working on their own data organizations and even within communities there is a lot of heterogenity -> different data models and terminology • The working group’s situation resembles the situation in the network era before TCP/IP was chosen worldwide as the basis, and before this many different groups worked on their own private network solution • This WG is building a reference data model • Core for a trusted data organization: each data object being described by metadata and identified by persistent identifier (PID) • PID and metadata records store information about the object that makes it possible to find, access, interpret and re-use it • Currently 21 approaches are being studied • Goal to come to a harmonized, reference model with a widely agreed terminology • Results at Plenaries in 2014 9

Examples from WGs 10 PID information types WG • Persistent identifiers (PID) are the Examples from WGs 10 PID information types WG • Persistent identifiers (PID) are the core of proper data management and access • This WG will provide a first solution for standardized PID types • Later, the WG will design and implement an API for interaction with typed information • Automated data management across disciplines repositories can highly benefit from standardized types and

Examples from WGs 11 Data Type Registry WG • There are so many data Examples from WGs 11 Data Type Registry WG • There are so many data types in use, and new ones are continuously defined in science • The result is that often researchers see interesting data, but don’t know how to open, process or visualize the data • This WG is implementing a type registry for data, which explains how to open, visualize and process the data • New data types can be added to the register with information how to open, visualize and process the data • In 2014 a worldwide setup for a type registry is expected from this work package

Community-Driven RDA Groups by Focus Domain Science - focused Community Needs focused Digital History Community-Driven RDA Groups by Focus Domain Science - focused Community Needs focused Digital History and Ethnography IG 12 Defining Urban Data Exchange for Science IG Toxicogenomics Interoperability IG Structural Biology IG Biodiversity Data Integration IG Agricultural Data Interoperability IG Community Capability Model IG Engagement IG Clouds in Developing Countries IG Marine Data Harmonization IG Materials Data Management IG Reference and Sharing focused Data Stewardship focused Data Citation IG Research Data Provenance IG Data Categories and Codes WG Certification of Digital Repositories IG Preservation e-infrastructure Legal Interoperability IG Long-tail of Research Data IG Publishing Data IG Base Infrastructure - focused Metadata IG Data Foundations and Terminology WG Big Data Analytics IG Metadata Standards WG Data Brokering IG Practical Policy WG PID Information Types WG Data Type Registries WG Domain Repositories IG Global Registry of Trusted Data Repositories and Services IG

RDA Outputs. . What’s coming in 2014 13 Data Type Registries WG Defining a RDA Outputs. . What’s coming in 2014 13 Data Type Registries WG Defining a system of data type registries Defining a formal model for describing types and building a working model of a registry. To be adopted by CNRI, International DOI Foundation, and used by the Deep Carbon Observatory and others (working in conjunction with PID group) Scheduled to complete Summer, 2014 Persistent Identifier Information Types Defining a minimal set of types that must be associated with a PID (e. g. checksum, author). Specifying an API for interaction with PID types Adopted and used by Data Conservancy and DKRZ (working in conjunction with DTR group) Metadata Standards Scheduled to complete Summer, 2014 Creating use cases and prototype directory of current metadata standards from starting point of DCC directory and stakeholder contributions. To be hosted and used by JISC, Data. One and others Scheduled to complete Fall, 2014

RDA Outputs. . What’s coming in 2014 14 Language Codes Operationalization of ISO language RDA Outputs. . What’s coming in 2014 14 Language Codes Operationalization of ISO language categories for repositories Adopted and used by the Language Archive, PARADISEC Proposal of data categories associated with the CMDI schema as ISO standards. Scheduled to complete Fall, 2014 Data Foundations and Terminology Defining a common vocabulary for data terms based on existing models. Creating formal definitions in a structured vocabulary too which also provides an open registry for data terms. (active input from all RDA WGs) Scheduled to complete Summer, 2014 Survey of policies in production use across data management centers. Test bed of machine-actionable policies (IRODS, Data. Verse, d. Cache) at RENCI, Data. Net Federation Consortium, CESNET, Odum Institute. Deployment of 5 policy sets (integrity, access control, replication, provenance / event tracking, publication ) on test beds. Publication of standard policies for use as starter kits. Scheduled to complete Summer, 2014 Tested and adopted by EUDAT, DKRZ, Deep Carbon Observatory, CLARIN, EPOS, and others Practical Code policies (rules)

RDA Plenary Meetings … Plenary 1 – 18 - 20 March 2013 Goteborg, Sweden RDA Plenary Meetings … Plenary 1 – 18 - 20 March 2013 Goteborg, Sweden üWorking & interest groups get together and hold face-to-face discussions 15 üNew groups proposals & Birds of a Feather üRDA member networking 240 participants üCo-located events 3 WG, 9 IG Plenary 2 - 18 -20 September 2013 in Washington, DC, USA 380 participants 6 WG, 17 IG, 5 BOF Plenary 3 - 26 -28 March 2014 in Dublin, Ireland 490 participants 16 WG, 35 IG and 20 BOF meetings 10 co-located workshops & meetings Plenary 4 - 22 -24 September 2014 , Amsterdam, Netherlands

RDA Members – who can you work with? • Afghanistan • Argentina • Armenia RDA Members – who can you work with? • Afghanistan • Argentina • Armenia • Australia • Austria • Belgium • Bolivia • Botswana • Brazil • Bulgaria • Canada • China • Congo {Democratic Rep} • Costa Rica • Croatia • Cuba • Cyprus • Czech Republic • Denmark • Estonia • Finland • France • Germany • Ghana • Greece • Hungary • Iceland • India • Ireland {Republic} • Israel • Italy • Japan • Kenya • Korea South • Lithuania • Malaysia • Mexico • Mozambique • Nepal • Netherlands • New Zealand • Nigeria • Norway • Pakistan • Palestine • Philippines • Poland • Portugal • Qatar • Romania • Russian Federation • Senegal • Serbia • Singapore • Slovenia • South Africa • Spain • Sudan • Sweden • Switzerland • Taiwan • Tanzania • Turkey • Ukraine • United Arab Emirates • United Kingdom • United States • Uruguay • Vatican City • Venezuela 16 ~1585 members from 70 + countries Region MARCH 2014 % EU 774 49% AU 51 3% US 592 37% Others TOTAL 168 1585 11%

RDA MEMBERS – HOW ARE THEY GROWING? 17 RDA MEMBERS – HOW ARE THEY GROWING? 17

RDA MEMBERS – WHERE ARE THE 1, 585 ON THE MAP? 18 RDA MEMBERS – WHERE ARE THE 1, 585 ON THE MAP? 18

19 RDA MEMBERS – where do the 1, 585 come from? Policy/ Press &and 19 RDA MEMBERS – where do the 1, 585 come from? Policy/ Press &and Small Other Funding Media Medium Large 7% Agency Enterprise 1% Enterprise IT 2% 5% 2% Consultancy/Development 3% Government/ Public Services 16% Academia/ Research 64% ORGANISATION TYPE Academia/Research Government/Public Services IT Consultancy/Development Large Enterprise Other Policy/Funding Agency Press & Media Small and Medium Enterprise TOTAL Total 1020 255 53 26 110 29 11 81 1585 % 64% 16% 3% 2% 7% 2% 1% 5%

How can you become a member? 20 Register to the on-line community and become How can you become a member? 20 Register to the on-line community and become a Member of RDA. No fees involved for individual participation. Membership is open to any individual who subscribes to the RDA Guiding Principles. As a Member one may join and form Working and Interest Groups and participate in RDA elections. https: //www. rd-alliance. org/user/register 15/03/2018 20

How can your Organisation become a member? 21 Organisational Members can include R&D agencies, How can your Organisation become a member? 21 Organisational Members can include R&D agencies, forprofit companies and non-profit foundations, community organizations, institutions, etc. Annual membership fee based on size of organisation (in number of persons). Why should your Organisation become a member? Affiliation with likeminded organisations in order to coordinate efforts in mutual areas of interest and to avoid unnecessary duplication and conflict.

What Organisations can you team up with? Member Applicants • • Barcelona Supercomputing Center What Organisations can you team up with? Member Applicants • • Barcelona Supercomputing Center European Data Infrastructure (EUDAT) International Association of STM Publishers New Zealand e. Science Infrastructure Washington University Libraries Purdue University Libraries Research Data Canada e. Research Services and Scholarly Application Development Division of Information Services • American University Library Other interested Organizations • • Australian Antarctic Data Centre Australian National Data Service CERN CJSD Consulting Columbia University Libraries/Information Services CSC - IT Center for Science Ltd. Digital Curation Centre IBM • • 22 Institute for Quantitative Social Science at Harvard Intersect Australia Limited Microsoft Oracle STFC - Science & Technology Facilities Council Corporation for National Research Initiatives (CNRI) Terrestrial Ecosystems Research Network University of Michigan Libraries Interested Affiliates • Committee on Data for Science and Technology (CODATA) • Connecting Research and Researchers (ORCID) • Data. Cite • International Oceanographic Data and Information Exchange (IODE) • Scholarly Publishing and Academic Resources Coalition (SPARC) • World Data System (WDS)

The European plug-in to RDA … 23 RDA Europe, the European plug-in to the The European plug-in to RDA … 23 RDA Europe, the European plug-in to the global RDA, facilitates the discussions to enable the identification of a number of issues viewed as essential in helping to achieve the RDA vision q. RDA Europe provides the European input and support for the global RDA Activities q. RDA Europe is a tool for European stakeholders, such as researchers, scientists and data practitioners to take part in the global RDA work

European Scientists feedback on RDA …. Exchange and interaction with European Scientists on a European Scientists feedback on RDA …. Exchange and interaction with European Scientists on a wide range of topics including Sharing and Re-use of Data, Publishing and Citing Data, Infrastructures and Repositories A number of issues emerged as essential in helping to achieve the RDA vision: Infrastructures must work and be persistent and sustainable, i. e. the work must be repeatable in a number of years. Work must be reproducible. Credit must be given for work and this credit must be useful in careers. Data must be referable. Infrastructures must be trustworthy and this trust must be earned. …… for complete outputs see rd-alliance. org 24

RDA Europe Forum The RDA Europe Forum brings together 10 experts, chaired by John RDA Europe Forum The RDA Europe Forum brings together 10 experts, chaired by John Wood, RDA Council & Secretary General Association of Commonwealth Universities qhelps European policy makers define strategic plans qprovides input to the Research Data Alliance global process qdefines recommendations to foster the convergence of data integration, interoperability and infrastructures. 25

Get Social with RDA 26 Twitter @resdatall Facebook https: //www. facebook. com/pages/Research-Data-Alliance/459608890798924 Linked. In Get Social with RDA 26 Twitter @resdatall Facebook https: //www. facebook. com/pages/Research-Data-Alliance/459608890798924 Linked. In www. linkedin. com/pub/research-data-alliance/77/115/7 aa/ Slide. Share http: //www. slideshare. net/Research. Data. Alliance

Who founded RDA? Global initiative with the support & funding of European Commission, Australian Who founded RDA? Global initiative with the support & funding of European Commission, Australian National Data Service and US National Science Foundation 27

28 RDA Collaborative Web Platform rd-alliance. org Interaction with RDA enquiries@rd-alliance. org RDA Europe 28 RDA Collaborative Web Platform rd-alliance. org Interaction with RDA [email protected] org RDA Europe [email protected] org | europe. rd-alliance. org 28