Data curation workshop: from lab to reuse


This workshop was organized on 14 October at the Rewley House in Oxford as part of the dissemination activities of the EIDCSR Project. The aim of the event was to hear about proven practice in selected data management areas identified as challenging for researchers through the EIDCSR audit and requirements analysis exercise.

For a full report of the event read EIDCSR Workshop Report (PDF 1.5MB)


Participants in the workshop had the opportunity to learn about, and contribute to discussion of, the different approaches to the ensuring the flow of data between laboratory and in silico experimentation. In particular, the workshop discussed:
  • methods for the capture, storage and reuse of metadata in the laboratory;
  • lifecycles integrating wet lab and in silico experimental data;
  • delivery and visualisation of large-scale data.


Welcome - Michael A. Fraser, Oxford University Computing Services - [ PDF 116KB ]
Challenges in data handling and management - Alan Garny, Department of Physiology, Anatomy and Genetics - [ PDF 532KB ] Three teams from the University of Oxford are involved in a project which has produced terabytes of data. This data has proved to be particularly challenging to handle and manage, as will be shown in this talk.
CLARION Project - Brian Brooks, Unilever Cambridge Centre for Molecular Informatics- [ PDF 1.4MB ]
Mobilising data and curation capabilities in DCC SCARP - Angus Whyte, Digital Curation Centre (DCC) - [ PDF 2.2MB ] The talk draws on a study of neuroimaging in psychiatry to illustrate findings from SCARP's two year series of case studies, which aimed to develop understanding of disciplinary differences in curation and stimulate practice development
RIN case studies in the life sciences: findings on data management - Aaron Griffiths, Research Information Network (RIN) - [ PDF 1MB ] This presentation will review the findings of the RIN's soon-to-be-published case studies in information usage in the life sciences, with a particular focus on what it reveals about researchers' data management practices.
Using high resolution displays for high resolution 3-d cardiac data - Chris Goodyer, School of Computing, University of Leeds - [ PDF 2.5MB ] In this talk Chris will outline how visualization techniques on display walls has been used to analyse cardiac data from both high resolution MRI scanning and high resolution histology scans.
Management and support for large (multi Terabyte) numerical climate model datasets at the BADC - Kevin Marsh, British Atmospheric Data Centre- [ PDF 672KB ]