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

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 W ork phases K ey findings D ata pyramids Final words. Background. A FP7 project proposed by APA

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

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  1. Josefine Nordling CSC – IT Center for Science LIBER 41st AnnualConference 27th of June 2012
  2. ContentOutline Introduction Stakeholdergroups Objectives Phases of data re-use Workphases Key findings Data pyramids Finalwords
  3. Background A FP7 projectproposedbyAPA 9 partners: EuropeanOrganization for NuclearResearch (CERN, coordinators), Alliance for Permanent Access (APA), Helmholtz Association (HA), UK Science and TechnologyFundingCouncil (STFC), British Library (BL), Association of EuropeanResearchLibraries (LIBER), German National Library (DNB), International Association of Scientific, Technical and MedicalPulishers (STM) & IT Center for Science (CSC) Started 01/11/2010, ends 30/11/2012 (PM 1-25)
  4. StakeholderGroups 5stakeholdergroups: Libraries Data Centres PolicyMakers & Funders Publishers Data Producers/Owners
  5. How stakeholders interact
  6. General objectives Best practices in data sharing, re-use, preservation and citing Emergingbestpractices & lessonslearned, butalso ”successstories”, ”nearmisses” & ”honourablefailures” Challenges, drivers, barriers & enablers
  7. Concreteobjectives Evidencegatheringenabling/providing: Key players to comparevisions and exploresharedopportunities Differentperspectives on data re-use Improvedunderstanding of bestpracticeswithin RDM – morecoherent national policies andwiderimplementationof e-Infrastructure Informationavailable for Horizon 2020
  8. A vocabulary for data re-use
  9. 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
  10. Data sharingtoday Develop a broadunderstanding of the overallissues to beaddressedby ODE Identifying ”successstories”, ”nearmisses”, ”honourablefailures ”, by conducting (21) interviews, including: Attitudeswithindifferentscientificcommunities on national and international level Researchers’ access to e-Infrastructures Tentales of drivers and barriers in data sharing
  11. Data entersscholarlycommunication The impact of data sharing, re-use and preservation on scholarlycommunication Publishers’ role: stricter editorial policies, enhancingarticles, guidelines etc. Integration of datasets and publications – libraries & data centres Informalinterviews(researchers, authors, editors, readers, data centres and libraries) & (110 responses) surveys (libraries)
  12. Drivers and barriers: questions and answers Informstakeholders of drivers and barriers on data sharing Extension of use of data sharingbeyond the MemberStates Researcher’sbenefits of data re-use– mapping the stakeholderswilling to enablethis Revision of statementsthroughconsultationwithexperts (workshops, interviews, structuredmethods) Identify a set of keyfindings
  13. The future of e-Infrastructures for data sharing ”To demonstrate the value of informationgathered and destil the resultsfrom the twoconferences and the variousareasinvestigated in previousworkpackages in order to ensurethateach of the project’stargetaudiencescanmakeinformeddecisionsabout the future of e-Infrastrucutres for data sharing and preservation.”
  14. The future of e-Infrstructures for data sharing (continue) Categorisation of keyfindings - supporte-Infrastructure, describepossibilities and impact of data sharing, re-use and preservation The roles of data in the future Publications on the findingstailored to eachstakeholdergroup – gatheringtogetherpreviousresults Stillahead: preparation of a thematicpublication and a finalreport
  15. Challenges Delivery of information on benefits of data Moretrainingneeded for researcherswithin RDM Morecross-cutting international discussionsareneeded The costs of data availability and re-usecovered, alsoafter a project’send Confidential and sensitive data acquiresspecificaccesscontrols The data deluge in itself
  16. Drivers Increasedimpactif data is used and citedbyotherresearchers Publishersaredevelopingcollaborationswithresearchers and data centres Data regeneration is farmoreexpensivethan data preservation Manypublisherssupport data hosting and data linkingservices Re-use of data in meta-studies to findhiddentrends Authorsareincreasinglyusingpublisher’s data services
  17. Barriers Researcher’shesitation to publish and sharetheirdata Patentingissues Lack of investment in libraries on supportingdevelopmentwithin RDM Publishing supplementary data alongsidewitharticles is expensive National reluctance in investing in global data infrastructures Federal, national and institutionalrestrictionsdue to strategicinterests
  18. Enablers Citation and recognitionframeworks Clearinstructions on data citation Easyprocesses for submission of data – lowering the barriers for researchers Join functionswithscholarlycommunication Workingcloselywithresearcherswithencouragingmotives Engaging in establishinguniform data citationstandards
  19. Enablers (continue) Expertknowledge for settinggrownrules for data re-use Actingbased on requirements of the researchcommunity 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: (1) Top of the pyramid is stablebutsmall (2) Risk thatsupplements to articles turn into Data Dumping places (3) Toomany disciplines lack a communityendorsed data archive (4) Estimates are that at least 75 % of research data is never made openlyavaiable 20
  21. The Ideal Pyramid (1) More integration of text and data, viewers and seamless links to interactive datasets (2) Onlyif data cannotbeintegrated in article, and only relevant extra explanations (3) Seamless links (bi-directional) betweenpublications and data, interactive viewers within the articles (4) More Data Journalsthatdescribe datasets, data mgt plans and data methods 21
  22. Lastly Slowlymoving in the rightdirectiontowards the ”bestways” of engaging in RDM Emergingawarenessthroughout the community Data centres, libraries and publishersarekeen on developingtheirservices More and morecollaborationsaretakingplace Nextstep: convincing the reserchers of the benefits of publishing, sharing and re-using data http://www.ode-project.eu/

  23. ThankYou!

    Josefine Nordling Project Coordinator, CSC Josefine.Nordling@csc.fi
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