DRAFT 01 research data and lifecycles
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This document discusses research data management and lifecycles. It defines research data as any material needed to validate research results, including both quantitative and qualitative data. It introduces several data lifecycle models, including the UK Data Archive model of creating, processing, analyzing, preserving, and reusing data, as well as the DCC model of create, document, use, store, share, and preserve. The document emphasizes considering how research data will move through multiple lifecycles from its creation through future use and preservation.
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DRAFT 01 research data and lifecycles
- 1. Good practice in Research Data Management Module 1: Research data and lifecycles
- 2. Topics • Considering research data • Introducing lifecycle models
- 4. What is research data? • Any material required to re-validate the results of research – Not only quantitative, tabular "hard scientific" data – Can include photographs, sculptures, letters, speeches, music… etc. • No limited definition stated in Newcastle University's draft RDM policy principles & code of good practice
- 5. Research data: All of these, and more…
- 6. ACTIVITY: YOUR RESEARCH DATA What types of research data do you use?
- 8. The life of data • A dataset has a longer lifespan than the research project that created it • Data can be used and re-used if it is: – Made available, well managed, preserved
- 9. UK Data Archive data lifecycle Creating Data Processing Data Analysing Data Preserving Data Giving access to Data Re-using Data
- 11. DCC Curation lifecycle model
- 12. SESSION REVIEW
- 13. In summary • Take a holistic view of research data • Take a step back and consider research/data lifecycles – How may cycles will your data go through?!
- 14. Acknowledgements • Digital Curation Centre (DCC) – http://www.dcc.ac.uk/ • The UK Data Archive – http://www.data-archive.ac.uk/create-manage • DaMaRO RDM Training Materials, University of Oxford – http://damaro.oucs.ox.ac.uk/training_materials.xml • Research data MANTRA [online course], EDINA and Data Library, University of Edinburgh – http://datalib.edina.ac.uk/mantra/