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The Shifting Research Data Management Policy Landscape Joy Davidson and Sarah Jones

Learn about best practices in research data management policies, importance of curation, data types, funders' policies, and key considerations for data archiving. Enhance your data management skills with guidance and training resources. Follow @digitalcuration for updates.

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The Shifting Research Data Management Policy Landscape Joy Davidson and Sarah Jones

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  1. The Shifting Research Data Management Policy Landscape Joy Davidson and Sarah Jones Digital Curation Centre, Glasgow joy.davidson@glasgow.ac.uk sarah.jones@glasgow.ac.uk

  2. “the active management and appraisal of data over the lifecycle of scholarly and scientific interest” Data have importance as the evidential base of scholarly conclusions Curation is part of good research practice Be clear on what activity is being covered in your policy

  3. Research data can be anything – be clear on what research data means in your policy! • models and visualisations • Workflows (Taverna, MyExperiment) • databases • raw data (captured from instruments) • cleaned data (anonymised) • blogs, tweets • images • audio • Whatever researchers are producing!

  4. Funders’ data policies http://www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-policies

  5. Not just sticks, there are carrots too! Help prevent data loss Enable validation of results More citations 9-30% increase shown in study (Piwowar H. and Vision T.J 2013 , https://peerj.com/preprints/1.pdf) Easier to do your work…

  6. Components of a research data service

  7. Early research data policies “Statement of commitment”  Infrastructure  policy legal compliance style a section in uni DM policy useful guide as appendix “10 commandments” mutual promises aspirational Based on Edin. with a few additions Baseline of RCUK Code + procedures & support www.dcc.ac.uk/resources/policy-and-legal/institutional-data-policies

  8. Institutional Roadmaps http://www.dcc.ac.uk/resources/policy-and-legal/epsrc-institutional-roadmaps

  9. http://www.gla.ac.uk/services/datamanagement/rdm-at-gu

  10. Data management planning

  11. Active research stage – an ‘academic dropbox’ National level negotiation via Janet brokerage? Piloted at Lincoln & Edinburgh http://tiny.cc/owncloud-pilot www.dataflow.ox.ac.uk

  12. Selecting what to keep • Key questions: • What data must be kept? (for validation, etc) • What must not be kept? (e.g. personal data) • Is it worth keeping the data? – cost/benefits • Where will the data be kept? • Who pays?

  13. http://www.dcc.ac.uk/resources/how-guides http://www.nerc.ac.uk/research/sites/data/documents/data-value-checklist.pdf

  14. Archiving – institutional data repositories Not intended to replace national, subject or other established data collections Acknowledge hybrid environment http://datashare.is.ed.ac.uk Essex-RDR and DataPool at Southampton www.dspace.cam.ac.uk/ • https://databank.ora.ox.ac.uk

  15. Archiving – external data centres Research funders’ data centres… Structured databases Registries of international data centres Disciplinary& community initiatives

  16. Data catalogues (finding data) Develop a research data extension to the cerif standard http://cerif4datasets.wordpress.com JISC & DCC planning National coordination

  17. GU research data catalogue

  18. Guidance and training http://dcc.ac.uk/training/dc101 http://www.gla.ac.uk/services/datamanagement/ http://www.jourm.ac.uk/

  19. The DCC offers guidance, examples and tools to help with compliance http://www.dcc.ac.uk/resources

  20. Good data management is about making informed decisions Any questions? Follow us on twitter @digitalcuration and #ukdcc

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