The Data Sharing Policies of the UK Research Councils: Principles and Practices Mark Thorley Natural Environment Research Council
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1 The Data Sharing Policies of the UK Research Councils: Principles and Practices Mark Thorley Natural Environment Research Council
2 Overview The UK research councils. Generic drivers for data sharing. Data sharing policies and facilities. The future from policy to practice.
3 Research Councils UK 4.1B
4 What do we mean by data? Data as a by-product of research. Data as a part of the scientific record must be maintained to allow reproduction and validation. Data as a published output in its own right.
5 Drivers for data sharing Scientific need - especially for large-scale or long-term studies. Increased value where part of a larger collection (eg. Oceans or atmosphere). To support & verify the scientific record. Value for money data collection can be very expensive. Public funds public access.
6 Data sharing policies Data policies and infrastructures have developed over time. Reflects different approaches to data sharing within different communities with differing scientific needs. Driven by the science a one size fits all RCUK policy is not appropriate.
7 Generic principles Research Councils recognise data as a valuable long-term, public-good resource. Data sharing improves opportunities for exploitation; Investigator teams have a right of first use and a right to be acknowledged; Effective exploitation requires effective data management.
8 Key differences Differences not in policy principles, but in how data sharing is supported. Twin track approach: Provision of national facilities; Support for delegated infrastructure.
9 National facilities Early adopters of data policies have implemented long-term facilities: ESRC: Joint JISC & ESRC supported UK Date Archive, including the Economic and Social Data Service; NERC: Long-term commitment to managing and making available environmental data through 7 NERC Data Centres.
10 Formal data policy currently being updated. Joint JISC & ESRC supported UK Date Archive, including the Economic and Social Data Service. Applicants must carry out a data review to ensure funds not requested for data that are already available. Data must be offered to the archive within 3 months of end of award. Developing new thinking in data management and sharing. For example, QUADS Qualitative Archiving and Data Sharing Scheme.
11 Data policy handbook and guidance. New version under development. All data must be offered to a NERC data centre to enable long-term management and re-use. Recognition of rights of investigator teams. NERC supports 7 data centres for long-term management of environmental data.
12 Delegated infrastructure Later adopters of data policies provide funds through the grant process to support data management and dissemination: BBSRC: April 2007; MRC: January 2006; AHRC: From April 2008, previously funded centralised service. Onus on the PI and the institution.
13 Data sharing policy and implementation guidelines. Endorsed by Council July 2006, apply from April Applicants must produce a data sharing plan. Data sharing encouraged in all research areas where there is a strong scientific need and it is cost effective to do so. Funds can be requested to support data management and sharing activities.
14 Data sharing and preservation policy applies to new grants awarded from January Applicants must produce a plan for data sharing and preservation and include costings in grant applications. Implementing data management facilities at MRC owned centres (as part of corporate responsibility for data).
15 De facto policy - detailed in funding guidance. Any significant electronic resources or datasets created as a result of research funded by the AHRC must be made available in an accessible depository for at least three years after the end of the grant. Can request resources to support management and sharing. Archaeology special case. Must use the AHRC supported Archaeology Data Service.
16 No formal policy, does not overly intervene in the research dissemination process. Encourages PIs to manage primary data as the basis for publications securely and for an appropriate time in a durable form under the control of the institution of their origin.
17 Polices to develop following merger of PPARC and CCLRC. Facilities (ie CCLRC) well developed policies and facilities on a per-project basis. Grant holders (ie PPARC) Data curation policy agreed in principle.
18 Which model is better? National facilities: Longer-term, single points of contact, centres of excellence; Perceived as expensive and less agile? Delegated: More responsive, closer to the science, cheaper in the shorter term?; Lack of long-term vision, access to key skills?
19 Beyond policy into practice The policy is the easy bit: Resourcing, implementation and enforcement is more difficult. Long-term commitment: Data management and sharing needs longterm vision and long-term support. Are PIs the right people to do this? And don t forget the skills base.
20 Further information For further information please contact: Mark Thorley NERC Data Management Coordinator phone: +44 (0) web: data.nerc.ac.uk /
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