Josefine Nordling CSC – IT Center for Science LIBER 41st Annual Conference 27th of June 2012

Content Outline Introduction Stakeholder groups Objectives Phases of data re-use Work phases Key findings Data pyramids Final words

Background A FP7 project proposed by APA 9 partners: European Organization for Nuclear Research (CERN, coordinators), Alliance for Permanent Access (APA), Helmholtz Association (HA), UK Science and Technology Funding Council (STFC), British Library (BL), Association of European Research Libraries (LIBER), German National Library (DNB), International Association of Scientific, Technical and Medical Pulishers (STM) & IT Center for Science (CSC) Started 01/11/2010, ends 30/11/2012 (PM 1-25)

Stakeholder Groups 5 stakeholder groups:  Libraries  Data Centres  Policy Makers & Funders  Publishers  Data Producers/Owners

Research Institutes Publishers Researcher Libraries and Datacenters How stakeholders interact

General objectives Best practices in data sharing, re-use, preservation and citing Emerging best practices & lessons learned, but also ”success stories”, ”near misses” & ”honourable failures” Challenges, drivers, barriers & enablers

Concrete objectives Evidence gathering enabling/providing:  Key players to compare visions and explore shared opportunities  Different perspectives on data re-use  Improved understanding of best practices within RDM – more coherent national policies and wider implementation of e-Infrastructure  Information available for Horizon 2020

A vocabulary for data re-use

Talking, listening, engaging, influencing Communication with relevant stakeholder groups – visibility for ODE Forum for all targeted audience – policy discussions & compare visions Collaborations between projects – input and feedback PR materials

Data sharing today Develop a broad understanding of the overall issues to be addressed by ODE Identifying ”success stories”, ”near misses”, ”honourable failures ”, by conducting (21) interviews, including:  Attitudes within different scientific communities on national and international level  Researchers’ access to e-Infrastructures Ten tales of drivers and barriers in data sharing

Data enters scholarly communication The impact of data sharing, re-use and preservation on scholarly communication Publishers’ role: stricter editorial policies, enhancing articles, guidelines etc. Integration of datasets and publications – libraries & data centres Informal interviews (researchers, authors, editors, readers, data centres and libraries) & (110 responses) surveys (libraries)

Drivers and barriers: questions and answers Inform stakeholders of drivers and barriers on data sharing Extension of use of data sharing beyond the Member States Researcher’s benefits of data re-use – mapping the stakeholders willing to enable this Revision of statements through consultation with experts (workshops, interviews, structured methods) Identify a set of key findings

The future of e-Infrastructures for data sharing ”To demonstrate the value of information gathered and destil the results from the two conferences and the various areas investigated in previous work packages in order to ensure that each of the project’s target audiences can make informed decisions about the future of e-Infrastrucutres for data sharing and preservation.”

The future of e-Infrstructures for data sharing (continue) Categorisation of key findings - support e- Infrastructure, describe possibilities and impact of data sharing, re-use and preservation The roles of data in the future Publications on the findings tailored to each stakeholder group – gathering together previous results Still ahead: preparation of a thematic publication and a final report

Challenges Delivery of information on benefits of data More training needed for researchers within RDM More cross-cutting international discussions are needed The costs of data availability and re-use covered, also after a project’s end Confidential and sensitive data acquires specific access controls The data deluge in itself

Drivers Increased impact if data is used and cited by other researchers Publishers are developing collaborations with researchers and data centres Data regeneration is far more expensive than data preservation Many publishers support data hosting and data linking services Re-use of data in meta-studies to find hidden trends Authors are increasingly using publisher’s data services

Barriers Researcher’s hesitation to publish and share their data Patenting issues Lack of investment in libraries on supporting development within RDM Publishing supplementary data alongside with articles is expensive National reluctance in investing in global data infrastructures Federal, national and institutional restrictions due to strategic interests

Enablers Citation and recognition frameworks Clear instructions on data citation Easy processes for submission of data – lowering the barriers for researchers Join functions with scholarly communication Working closely with researchers with encouraging motives Engaging in establishing uniform data citation standards

Enablers (continue) Expert knowledge for setting grown rules for data re-use Acting based on requirements of the research community Preservation of data to ensure continued access to linked data Support of crosslink between publications and datasets

20 The Pyramid’s likely short term reality: Publ. with Data Processed & Represent. Data Data Archives Data on Disks and in Drawers (1) Top of the pyramid is stable but small (2) Risk that supplements to articles turn into Data Dumping places (3) Too many disciplines lack a community endorsed data archive (4) Estimates are that at least 75 % of research data is never made openly avaiable

21 The Ideal Pyramid Data In Publications Article Supps Data Archives Data on Disks and in Drawers (1) More integration of text and data, viewers and seamless links to interactive datasets (2) Only if data cannot be integrated in article, and only relevant extra explanations (3) Seamless links (bi- directional) between publications and data, interactive viewers within the articles (4) More Data Journals that describe datasets, data mgt plans and data methods

Lastly Slowly moving in the right direction towards the ”best ways” of engaging in RDM Emerging awareness throughout the community Data centres, libraries and publishers are keen on developing their services More and more collaborations are taking place Next step: convincing the reserchers of the benefits of publishing, sharing and re-using data

Thank You! Josefine Nordling Project Coordinator, CSC