Good practice in Research Data Management Module 1: Research data and lifecycles.

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Presentation transcript:

Good practice in Research Data Management Module 1: Research data and lifecycles

Topics Considering research data Introducing lifecycle models

CONSIDERING RESEARCH DATA

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

Research data: All of these, and more…

ACTIVITY: YOUR RESEARCH DATA What types of research data do you use?

INTRODUCING LIFECYCLE MODELS

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

UK Data Archive data lifecycle Creating Data Processing Data Analysing Data Preserving Data Giving access to Data Re-using Data

CreateDocumentUseStoreSharePreserve DCC data activity lifecycle

DCC Curation lifecycle model

ACTIVITY: EXAMINING THE DCC CURATION LIFECYCLE MODEL Are you a researcher, curator, or both?!

DCC Curation lifecycle model: actions I.Full lifecycle actions II.Sequential actions III.Occasional actions

Take a closer look… Examine the DCC Curation lifecycle model on the handout provided – How relevant is it for your research? Assign a score 1-10 (1 = not at all relevant, 10 = extremely relevant)

SESSION REVIEW

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?!

Acknowledgements Digital Curation Centre (DCC) – The UK Data Archive – DaMaRO RDM Training Materials, University of Oxford – Research data MANTRA [online course], EDINA and Data Library, University of Edinburgh –