Data users, data producers
          Stéphane Goldstein

           Presentation to the
  UK Environmental Observation For...
What is the RIN?
A small policy unit funded by the four HE Funding
Councils, the seven Research Councils and the three
Nat...
What do we do?
RIN’s remit covers information in all forms, and
how this relates to libraries, data archives, research
fun...
Research data are important
Two reasons for making data available:
  to make them a part of the scholarly record so that t...
Climate science:
       data curation and care
Researchers add value to raw data (data cleansing,
coding, derivation…)
But...
Climate science: motivation &
constraints for publishing data
For smaller projects, often little thought
given to publishi...
Key conclusions
Lack of explicit career rewards attributed to data sharing
Data needs to be recognised and rewarded as a l...
New work on data centres
Investigate the benefits of effective sharing
and curation of research data
Examine the long-term...
Stéphane Goldstein
stephane.goldstein@rin.ac.uk

     www.rin.ac.uk

  Twitter: research_inform
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Data users, data producers

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Data users, data producers

  1. 1. Data users, data producers Stéphane Goldstein Presentation to the UK Environmental Observation Forum UK-EOF Data Solutions Workshop Garden Organic, Coventry 25 June 2009
  2. 2. What is the RIN? A small policy unit funded by the four HE Funding Councils, the seven Research Councils and the three National Libraries Aims to enhance and broaden the understanding of how researchers in the UK create and use information resources and services. Supports the development of effective policies and practices for researchers, institutions, funders, information professionals and all others involved in the research information landscape.
  3. 3. What do we do? RIN’s remit covers information in all forms, and how this relates to libraries, data archives, research funders, HEIs, publishers as well as researchers and all involved in the research process This encompasses work on research data: To Share or Not to Share – researchers as data creator Case studies in the life sciences New study on the benefits of subject-based research data centres
  4. 4. Research data are important Two reasons for making data available: to make them a part of the scholarly record so that they can be validated and tested so that they can be re-used by others To Share or Not to Share was published in June 2008 sets out to determine whether or not researchers do make their research data available, and the issues they face in doing so. covered the following areas: astronomy, chemical crystallography, classics, climate science, genomics, social and public health sciences, systems biology and the Rural Economy and Land Use programme.
  5. 5. Climate science: data curation and care Researchers add value to raw data (data cleansing, coding, derivation…) But these activities are usually specific to given projects; rarely take place with the aim of making it more usable to third parties Sound metadata standards exist, but their use by researchers is limited Raw model data have little value other than for creator; observational data have value in raw state Benefits from NERC’s investment in data centres
  6. 6. Climate science: motivation & constraints for publishing data For smaller projects, often little thought given to publishing datasets Many climate scientists feel that there are few rewards for publishing data No strong culture for data sharing or publication, although NERC centres provide a solid environment for deposit and curation of datasets
  7. 7. Key conclusions Lack of explicit career rewards attributed to data sharing Data needs to be recognised and rewarded as a legitimate research output in the same way that publications are Need to take into account of the complexity of data creation and preservation Needs to be active promotion of data publishing and re-use by research funders and institutions Needs to be a concerted effort to increase the discoverability, accessibility and usability of datasets Need to consider what approaches are most appropriate in assessing quality of datasets
  8. 8. New work on data centres Investigate the benefits of effective sharing and curation of research data Examine the long-term usage and impact of data curated by established data centres. Lead to improving the data sharing environment and expanding the practice of data sharing in the UK Provide information to help data centres themselves improve their service to users.
  9. 9. Stéphane Goldstein stephane.goldstein@rin.ac.uk www.rin.ac.uk Twitter: research_inform

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