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History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
History DMT Hull workshop introduction
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History DMT Hull workshop introduction

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An introduction to research data management for historians

An introduction to research data management for historians

Published in: Education, Technology, Business
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  • 1. History and data management Chris Awre History and data management – necessary bedfellows? 12 December 2013
  • 2. History and data • There is a lot of data in History research, e.g., – – – – Transatlantic slave database History of marine animal populations (HMAP) UK economic statistics 1066 – present Biographical detail of officers in the German armed forces in the 17th and 18th centuries • Holding this for the research requires some level of management • Digital Curation Centre – “because good research needs good data” History and data management – necessary bedfellows? | 12 December 2013 | 2
  • 3. Starting points • Management of research data happens – Existing activity is acknowledged • Research data management has a much higher profile now • Initiatives are based on three trends – The amount of data is growing – Data management is required by multiple disciplines – Increasing perception of the value of data History and data management – necessary bedfellows? | 12 December 2013 | 3
  • 4. Research Data Management for History • Why? • What? • Where? • When? History and data management – necessary bedfellows? | 12 December 2013 | 4
  • 5. RDM and History – Why? • Data as research output – Data itself can be a valid (REF) research output and needs to be well managed for presentation and assessment • Transparency of research – Good data management allows the process of research to be transparent, adding validity and integrity • Data security and accuracy – Data management is not just for outputs, but can support research practice itself • Data sharing – Foster collaboration and increase the value of the data through making it available for others to use History and data management – necessary bedfellows? | 12 December 2013 | 5
  • 6. RDM and History – What? • Research data takes many forms, e.g., to name a few, – Computer-generated data from experiments – Survey data – Compilations of historical facts • The scope of research data encompasses the materials and/or information that are created or gathered to underpin research analysis • Completed work / work in progress – Data management can, and probably should, encompass both History and data management – necessary bedfellows? | 12 December 2013 | 6
  • 7. RDM and History – Where? • Local research data management does not necessarily mean local provision of storage – Local management, making use of services as required wherever they may be • Options for storage – Local – Cloud – Disciplinary, national or international data centre – Publishers (traditional journals, but also data journals) • All have associated services – What criteria determine which option(s)? History and data management – necessary bedfellows? | 12 December 2013 | 7
  • 8. Data management and storage • Many people have their own approaches to managing the data they generate – USB drives, to CDs/DVDs, to spare hard disks, etc. – Occasionally use of formal data centres or robust local storage • Key is to know what you plan to do, don’t just decide as you go along – Data can be the lifeblood of your research – look after it! History and data management – necessary bedfellows? | 12 December 2013 | 8
  • 9. Storage and backup • http://www.youtube.com/watch?v=n_1XFKYAcoI&list=PL2 XF5RiVI7GOLsLiInXnvT8L6XHC02byD • Make sure it doesn’t happen to you! • Storage as an active process, not a passive one – Consciously thinking of how you are recording your data, and where • Aim to always know where files are History and data management – necessary bedfellows? | 12 December 2013 | 9
  • 10. RDM and History – When? • When to manage data? – At all stages of the research data lifecycle • Key to this is making it easy to embed – Minimise effort, whilst demonstrating benefits of effort undertaken • Timetable? – Your decision – Starting with data management at the start of a research process alleviates issues in the future History and data management – necessary bedfellows? | 12 December 2013 | 10
  • 11. Post-research archiving • Hydra is the University of Hull’s digital repository for managing, archiving and sharing (where appropriate) research outputs, including data • History datasets managed – – – – – Doomsday Book Historical Marine Animal Populations (HMAP) Privateering and piracy Waleran II …others to come • http://hydra.hull.ac.uk History and data management – necessary bedfellows? | 12 December 2013 | 11
  • 12. Can do / can’t do • It is important that you recognise what you can do to manage your data, and what you can’t do • Identify areas where you may need assistance, and ask • Use the experience of your course to build up your experience and knowledge of what works well for you, and where you find value in getting help – Record all this in your data management plan over time • Research data management can be, or appear to be, complex – Good RDM is about learning how to simplify that complexity History and data management – necessary bedfellows? | 12 December 2013 | 12
  • 13. Thank you Questions…? c.awre@hull.ac.uk

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