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Data Innovation: Increasing Accessibility, Visibility and Sustainability

Session B2

Research Data Management Infrastructures: Facilitating Access and Preservation

Track

  • Research Data Management

Venue

  • Adelheid
    13:45-15:45

Chair/Moderator

  • Stuart Macdonald
    University of Edinburgh

Presenters

Using the New SDA to Make Data More Accessible

  • Tom Piazza
    University of California - Berkeley

A major revision of the SDA online analysis system will be released this year (version 4.0). It includes new features both for data archives and for the end users of the data such as researchers and students. For data users, there will be an updated user interface with richer, more dynamic components and a more modern look. At the same time, this will simplify the interface for beginning users by hiding more advanced options until they're needed. Users will also be able to store computed and recoded variables in personal workspaces (with archive permission). For data archives, the new SDA will simplify the setup of an SDA data archive by replacing the current combination of CGI programs and Java servlets with a single servlet-based Java Web application. In addition, a new "sdamanager" application will provide a unified control panel for all SDA archive management functions: creating and configuring SDA datasets, managing search options, etc. From this control panel, archive managers will also be able to specify easily which users can access which datasets. Note that existing SDA datasets will not have to be modified. We will demonstrate these new features during the presentation.

Research Data Management with DATORIUM. Filling a Gap by Developing a Data Sharing Repository at GESIS - Leibniz Institute for the Social Sciences

  • Monika Linne
    GESIS - Leibniz Institute for the Social Sciences

One of the current projects for digital data preservation at the Data Archive of GESIS - Leibniz Institute for the Social Sciences is the data sharing repository DATORIUM. This repository will serve as a web-based software that enables researchers to manage, document, archive and publish their data and structured metadata autonomously. The data will be freely accessible for the scientific community, so that the culture of data sharing, which has been supported and promoted by the Data Archive over the past 50 years, will be pushed forward and facilitate the re-use of the archived data. The pursued aims of DATORIUM are to ensure long-term preservation of the data and metadata as well as wide-ranging dissemination possibilities for scientists in order to increase the visibility and availability of their research projects. By facilitating access to their research data scientists can support new research or secondary analysis and beyond that they profit from the rise of citations of their work and therefore improve their reputation. According to one of the core priorities of the Data Archive, which is to ensure high quality of the provided data and metadata, the uploaded material in DATORIUM will be reviewed by defined quality criteria.

Research Data Management using CKAN: A Datastore, Data Repository and Data Catalogue

  • Joss Winn
    University of Lincoln

This paper offers a full and critical evaluation of the open source CKAN software (http://ckan.org) for use as a Research Data Management (RDM) tool within a university environment. It presents a case study of CKAN's implementation and use at the University of Lincoln, UK, and highlights its strengths and current weaknesses as an institutional Research Data Management tool. The author draws on his prior experience of implementing a mixed media Digital Asset Management system (DAM), Institutional Repository (IR) and institutional Web Content Management System (CMS), to offer an outline proposal for how CKAN can be used effectively for data analysis, storage and publishing in academia. This will be of interest to researchers, data librarians, and developers, who are responsible for the implementation of institutional RDM infrastructure. This paper is presented as part of the dissemination activities of the Jisc-funded Orbital project (http://orbital.blogs.lincoln.ac.uk)

Harnessing Data Centre Expertise to Drive Forward Institutional Research Data Management: A Case Study from the University of Essex

  • Thomas Ensom
    UK Data Archive

The Research Data @Essex project, funded under the Jisc MRD Program, piloted a research data management and sharing infrastructure at the University of Essex. The project team was led by the UK Data Archive in collaboration with support services at the University. It built on the Archive's extensive experience in enabling data re-use, now being carried forward by the new UK Data Service. The project demonstrated that an exchange of knowledge between data centers and institutional data services is mutually beneficial, particularly in accelerating institutional infrastructure development. A major focus was the development of an institutional research data repository based on the EPrints software. Key among our innovations has been the expansion of the EPrints metadata profile, to allow the capture of detail necessary for describing diverse research data, while also meeting relevant standards. The metadata profile adopted is compliant with DataCite and INSPIRE schemas, and also leverages the descriptive power of the Data Documentation Initiative (2.1) schema, in a novel use of metadata developed within the social science community. Our solution offers a full-featured and easy to deploy data repository package, now being explored as replacement for the technology behind the UK Data Service's ESRC Data Store self-archiving facility.