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Josefine Nordling CSC – IT Center for ScienceLIBER 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
Librariesand
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
Scientific Publication
Preservation Business Case
Data Preservation
Pre-archive phase
Discover data
Preservation Planning
Data collection/simulation
Social & Economic
Impact Creation
Project Funding
Research Strategy
Access data
Data Analysis
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.
DataData 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
PublicationsArticle 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• http://www.ode-project.eu/
