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Identifying and removing barriers for sharing scientific data

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Title: Identifying and removing barriers for sharing scientific data


1
Identifying and removing barriers for sharing
scientific data
  • Laurents Sesink
  • Laurents.sesink_at_dans.knaw.nl
  • www.dans.knaw.nl

2
DANS
  • an institute of the Royal Netherlands Academy of
    Arts and Sciences (KNAW), and is also supported
    by the Netherlands Organization for Scientific
    Research (NWO).
  • since its establishment in 2005, DANS has been
    taking care of storage and continuous
    accessibility of research data in the social
    sciences and humanities.

3
Sections
  • Software Development Group (SDG)
  • Infrastructure Group (IG)
  • Data Group (DG)

4
Data Group (DG)
  • Electronic Archiving System (EASY)
  • Innovative projects (Persistent Identifier, Data
    Seal of Approval, Enhanced Publications)
  • Data Acquisition

5
Data Acquisition
  • Last 10 years there is a change in attitude
    towards the principle of sharing Research Data
  • Dutch government OECD Principles and Guidelines
    for Access to Research Data from Public Funding
  • All scientific organizations Berlin Declaration
    on Open Access

6
A demand from researchers to re(use) data
  • Digital data
  • Easy to duplicate and distribute
  • New tools, techniques and methodologies can be
    used
  • Integration with other research data

7
Part of the scholarly communication process
  • To verify research
  • To discover research data for future potential
    (re)use

8
  • Governmental organizations, funders of research,
    universities, publishers, scientific data
    archives and researchers are implementing in
    different ways the policy of access to research
    data
  • In practice it appears that the depositing of
    research data is not imbedded in the scholarly
    workflow and mental system of researchers,
    institutions, funders and policy makers.

9
Therefore it is important
  • To identify which stakeholders benefit by making
    research data available.
  • What kind of policies have they already
    developed?
  • Which instruments play an important role in these
    policies?
  • Which restraints do they encounter in practice?

10
Stakeholders
  • Data producers
  • Data consumers
  • Research data centers
  • Research funders and commissioners of research
  • Publishers
  • Organisations responsible for quality and
    assessment of research
  • Organisations responsible for technical
    infrastructures

11
Stakeholders meeting
  • End 2008 DANS and SURFfoundation organized a
    meeting with different stakeholders
  • SURFfoundation unites research universities,
    universities of applied sciences, and research
    institutions. All of these collaborate on
    innovative projects to improve the quality of
    higher education and research.

12
Attendees
  • Researchers University of Twente, University of
    Amsterdam, University of Utrecht
  • Library University of Leiden
  • Datacenters Statistics Netherlands (CBS), DANS,
    3TU datacentre
  • Government Education, culture and science in the
    Netherlands

13
Attendees
  • Infrastructure SURFfoundation
  • Research assessment Academy of Arts and
    Sciences, Rathenau Institute
  • Research funder The Netherlands Organisation for
    Scientific Research (NWO)
  • Publisher Amsterdam University Press

14
What kind of policies have they already developed
  • Government
  • Contract for third parties (ARVODI)
  • Funding of preservation strategy (MIXED)
  • Funding organization
  • Infrastructure for depositing datasets (DANS)
  • Contracts
  • Research organizations (Universities)
  • Open Access policy for publications

15
What kind of policies have they already developed
  • Publishers
  • Links to data from articles in journals
  • Data Availability Policy
  • The data centers
  • Acces, re(use) policy
  • Guidelines, consultancy

16
What kind of policies have they already developed
  • Infrastructure organizations
  • Funding of initiatives to further develop the
    technical infrastructure (Enhanced Publications,
    blogs, wikis, social tagging)
  • Researchers
  • Reference to the data set
  • Data producer as co-author in a publication

17
Identify barriers
  • Researchers
  • Lack of Scientific credits for sharing data
  • No place for Long Term Preservation in project
    proposals
  • Fear to share data
  • Lack of experience to make data reusable
  • Lack of time to deposit data
  • Data centers
  • Policies to share data are not enough. Lack of
    practical regulations and clear responsibilities
  • No cost model

18
Identify barriers
  • Publishers
  • Fragmented infrastructure for referencing to
    research data
  • Lack of policy and communication about Persistent
    Identifiers
  • Data centers dont cover all scientific
    disciplines
  • Lack of interest from researchers to publish in
    DAP journals
  • High investment in infrastructure to add research
    data to publications
  • Long Term Preservation of Enhanced Publications

19
Recommandations
  • Research funders
  • Make regulations to bring policy into practice.
    Define whos role and responsibility it is to
    deposit data.
  • Include in project proposals funding for LTP
  • Research organizations (Universities)
  • Workflow for Open Access to Research data
  • Attention for data modelling, LTP issues in
    curriculum for students
  • Scientific credits not only for Publications but
    also for research data

20
Recommandations
  • Data centers
  • Make the benefits for depositing data clear for
    researchers
  • There is a need for consultancy at the start of
    projects
  • Make contracts with research funders more clear
  • Regulations, procedures
  • Standardization of citation of data
  • Infrastructure organizations
  • Bridge the cap between publications and research
    data

21
Developments
  • NWO Workflow for funded projectproposals
  • Government One stop portal for third parties.
    Research Information. Publications. Data
  • SURFFoundation Tender for Enhanced publications
  • User requirements for the infrastructure
  • Universities Regulations and workflow for
    depositing data
  • Data Steward Ship Group
  • Consultation for Researchers

22
Future Roadmap
  • Funding of LTP
  • Scientific credits

23
  • Thank you!
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