Forging New Service Paths: Institutional Approaches to Providing Research Data Management Services :
“Objective: This paper describes three different institutional experiences in developing research data management programs and services, challenges/opportunities and lessons learned.
Overview: This paper is based on the Librarian Panel Discussion during the 4th Annual University of Massachusetts and New England Region e-Science Symposium. Librarians representing large public and private research universities presented an overview of service models developed at their respective organizations to bring support for data management and eScience to their communities. The approaches described include two library-based, integrated service models and one collaboratively-staffed, center-based service model.
Results: Three institutions describe their experiences in creating the organizational capacity for research data management support services. Although each institutional approach is unique, common challenges include garnering administrative support, managing the integration of services with new or existing staff structures, and continuing to meet researchers needs as they evolve.
Conclusions: There is no one way to provide research data management services, but any staff position, committee, or formalized center reflects an overarching organizational commitment to data management support.”
URL : http://escholarship.umassmed.edu/jeslib/vol1/iss3/2/
This article outlines the work that the University of Oxford is undertaking to implement a coordinated data management infrastructure. The rationale for the approach being taken by Oxford is presented, with particular attention paid to the role of each service division. This is followed by a consideration of the relative advantages and disadvantages of institutional data repositories, as opposed to national or international data centres. The article then focuses on two ongoing JISC-funded projects, ‘Embedding Institutional Data Curation Services in Research’ (Eidcsr) and ‘Supporting Data Management Infrastructure for the Humanities’ (Sudamih).
Both projects are intra-institutional collaborations and involve working with researchers to develop particular aspects of infrastructure, including: University policy, systems for the preservation and documentation of research data, training and support, software tools for the visualisation of large images, and creating and sharing databases via the Web (Database as a Service).
URL : http://www.ijdc.net/index.php/ijdc/article/view/198
ADMIRAL is a project of the Image Bioinformatics Research Group and is funded by the JISC. The purpose of the ADMIRAL Project is to create a two-tier federated data management infrastructure for use by life science researchers, that will provide services (a) to meet their local data management needs for the collection, digital organization, metadata annotation and controlled sharing of biological datasets; and (b) to provide an easy and secure route for archiving annotated datasets to an institutional repository, The Oxford University Data Store, for long-term preservation and access, complete with assigned Digital Object Identifiers and Creative Commons open access licences.
URL : https://web.archive.org/web/20110828062449/http://imageweb.zoo.ox.ac.uk/wiki/index.php/ADMIRAL