Research Data Management In The Arts and Humanities

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

In recent times the principal focus for research data management protagonists has been upon scientific data, due perhaps to a combination of conspicuous Government or funder declarations with a bias towards the sciences and the very public consciousness of examples of 'big data', notably the output from CERN's Large Hadron Collider.

That is not to say that developments in the management of Arts and Humanities data have been absent, merely occluded. We aim to take some steps towards rectifying this situation with RDMF10, which will examine what it is about Arts and Humanities data that may require a different kind of handling to that given to other disciplines, how the needs for support, advocacy, training, and infrastructure are being supplied and, consequently, what are the strengths and weaknesses of the current arrangements for data curation and sharing.

The broad aims of the event were:

-To examine aspects of Arts and Humanities data that may require a different kind of handling to that given to other disciplines;
-To discuss how needs for support, advocacy, training, and infrastructure are being described and met;
-And consequently, to assess the strengths and weaknesses of the current arrangements for Arts and Humanities data curation and sharing, and brainstorm ways forward.

Presentations include:  
- Introduction - Martin Donnelly, DCC
-  Keynote 1: "What’s so different about Arts and Humanities data?" - Professor David De Roure, Director, Oxford e-Research Centre 
-  Keynote 2: "Err, what do I do with this? Exploring infrastructure requirements for visual arts researchers" - Leigh Garrett, Director, Visual Arts Data Service 
-  Researcher support and development requirements - Simon Willmoth, Director of Research Management and Administration, University of the Arts London 
-  Advocacy and outreach - Stephanie Meece, Scholarly Communications Librarian, University of the Arts London
-  A researcher's view on Arts and Humanities data management/sharing (with a focus on infrastructure needs and wants) - Dr Julianne Nyhan, Lecturer in Digital Information Studies, University College London
-  Data and the Sonic Art Research Unit - Professor Paul Whitty and Dr Felicity Ford, Oxford Brookes University 
Institutional case study: Research data management in the humanities: A non-Procrustean infrastructure - Sally Rumsey, Janet McKnight and Dr James A. J. Wilson, University of Oxford 
-  Linking institutional, national and international infrastructures - Sally Chambers, DARIAH 


License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Big data
Data curation
Data management
Data policy
Data sharing
Digital humanities
Research infrastructures
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Arts and Humanities
Published / Broadcast: 
Wednesday, September 4, 2013
Publisher - organization credited with publishing or broadcasting the learning resource: 
University of Oxford
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Collection - a group or set of items that comprise a single learning resource, e.g., a PDF version of a slide presentation, an audio file of the presentation and a textual representation of the oral transcription of the presentation.
Contributor Organization(s): 
University of Oxford
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Early-career research scientist
Graduate student
Research faculty
Research scientist
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)