To share or not to share: research data outputs annex

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To Share or not to Share: Publication and Quality Assurance of Research Data Outputs

Report commissioned by the Research Information Network (RIN)

Annex: detailed findings for the eight research areas June 2008

www.rin.ac.uk

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CONTENTS Classics Overview Data creation Form and variety of data produced Purposes of data generated as research output Metadata Adding value to data Long term viability of datasets Working with the created data Tools and technologies for analysis “Publishing” datasets Ownership of data and constraints on publication and use Response to requests for datasets Discovery, access and use of third party datasets Discovering relevant datasets Access to third party datasets Use of third party datasets Quality assurance Quality assurance in the data creation process Data management planning Quality assessment of datasets What motivates researchers to publish data?

1 1 1 2 2 2 3 4 4 5 6 6 6 6 6 7 7 7 7 8 8

Social and public health sciences Overview Data creation Form and variety of data produced Metadata Adding value to data Long term viability of datasets Working with the created data Tools and technologies for analysis “Publishing” datasets Ownership of data and constraints on publication and use Response to requests for datasets Discovery, access and use of third party datasets Discovering relevant datasets Access to third party datasets Use of third party datasets Quality assurance Quality assurance in the data creation process Data management planning Quality assessment of datasets What motivates researchers to publish data?

9 9 10 10 10 11 11 11 11 12 12 12 13 13 13 14 14 14 14 14 15

Push factors: the effect of policy Pull factors: intrinsic rewards

15 16

6. Astronomy Overview Data creation Form and variety of data produced Metadata Adding value to data Long term viability of datasets Working with the created data Tools and technologies for analysis “Publishing” datasets Ownership of data and constraints on publication and use Response to requests for datasets Discovery, access and use of third party datasets Discovering relevant datasets Access to third party datasets Use of third party datasets Quality assurance Quality assurance in the data creation process Data management planning Quality assessment of datasets What motivates researchers to publish data? Push factors: the effect of policy Pull factors: intrinsic rewards

17 18 18 19 19 19 21 21 21 22 22 22 22 22 23 23 23 23 24 24 24 24

7. Chemical crystallography Overview Data creation Form and variety of data produced Metadata Adding value to data Long term viability of datasets Working with the created data Tools and technologies for analysis “Publishing” datasets Ownership of data and constraints on publication and use Response to requests for datasets Discovery, access and use of third party datasets Discovering relevant datasets Access to third party datasets Use of third party datasets Quality assurance Quality assurance in the data creation process Data management planning Quality assessment of datasets What motivates researchers to publish data? Push factors: the effect of policy

26 26 28 28 28 28 29 29 29 29 30 31 31 31 31 31 32 32 32 32 32 32

Pull factors: intrinsic rewards

33

Genomics Overview Data creation Form and variety of data produced Metadata Adding value to data Long term viability of datasets Working with the created data Tools and technologies for analysis “Publishing” datasets Ownership of data and constraints on publication and use Response to requests for datasets Discovery, access and use of third party datasets Discovering relevant datasets Access to third party datasets Use of third party datasets Quality assurance Quality assurance in the data creation process Data management planning Quality assessment of datasets What motivates researchers to publish data? Push factors: the effect o