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OLD: What other use cases are available?

Additional Use Cases -- why aren't these included on other pages (as Review use cases) rather than listed separately? (CB)

  • CASPAR  http://www.casparpreserves.eu/
    CASPAR: Cultural, Artistic and Scientific knowledge for Preservation, Access and Retrieval is an Integrated Project co-financed by the European Union within the Sixth Framework Programme.  For the programme goals, see http://www.casparpreserves.eu/caspar-project.html.
  • Global Biodiversity Information Facility  http://www.gbif.org/
    The Global Biodiversity Information Facility (GBIF) was established by governments in 2001 to encourage free and open access to biodiversity data, via the Internet.  Through a global network of countries and organizations, GBIF promotes and facilitates the mobilization, access, discovery and use of information about the occurrence of organisms over time and across the planet.
  • Donnelly, Martin, Victoria Boyd, and Jill Spellman.  "Integrative Biology."  April 6, 2008.  http://www.dcc.ac.uk/sites/default/files/documents/publications/case-studies/integrative_biology.pdf
    The main aim of the Integrative Biology (IB) project is to realise this potential by developing multi-scale models - spanning the range from genes to whole organs - and to provide data management features for its disparate users including the sharing of data in a secure infrastructure, and enabling the storage and re-use of simulation outputs.
  • Prayor, Graham.  "CARMEN."  September 2008.   http://www.dcc.ac.uk/resources/case-studies/carmen-0
    This DCC study of CARMEN (Code, Analysis, Repository & Modelling for e-Neuroscience) aimed to provide an understanding the data curation requirements of this sector of the active e-Science community.  It carried a dual objective to identify good practice or proven solutions whilst also informing the DCC’s own tools and services around actual needs and requirements.
  • Lyon, Liz, Chris Rusbridge, et al.  "SCARP."  March 4, 2010.  http://www.dcc.ac.uk/resources/case-studies/scarp
    The DCC SCARP project investigated attitudes and approaches to data deposit, sharing and reuse, curation and preservation over a range of research fields in differing disciplines. The aim was to investigate research practitioners' perspectives and practices in caring for their research data, and the methods and tools they use to that end.
  • Donnelly, Martin.  "Wide Field Astronomy Unit."  December 8, 2005.  http://www.dcc.ac.uk/resources/case-studies/wide-field-astronomy-unit-wfau
    The Wide Field Astronomy Unit (WFAU) creates and curates astronomical data, serving a large community of data re-users.
  • Donnelly, Martin.  "MESSAGE."  October 2010.  http://www.dcc.ac.uk/message

    Mobile Environmental Sensing System Across Grid Environments (MESSAGE) was a three-year project funded jointly by the Engineering and Physical Sciences Research Council (EPSRC) and the UK Department for Transport (DfT).  The rationale behind this mix of funders was "to demonstrate some e-Science concepts that could be applied in a real world scenario."  The project ran from October 2006 to September 2009.

 

Read

  • Donnelly, Martin and Robin North.  "The Milieu and the MESSAGE: Talking to Researchers about Data Curation Issues in a Large and Diverse e-Science Project."  International Journal of Digital Curation 6 no. 1 (2011): 32-44.  http://www.ijdc.net/index.php/ijdc/article/view/161/229
    MESSAGE (Mobile Environmental Sensing System Across Grid Environments) was an ambitious, multi-partner, interdisciplinary e-Science research project, jointly funded by the Engineering and Physical Sciences Research Council (EPSRC) and the UK Department for Transport (DfT) between 2006 and 2009.  It aimed to develop and demonstrate the potential of diverse, low cost sensors to provide heterogeneous data for the planning, management and control of the environmental impacts of transport activity at urban, regional and national level.  During the last year of the project, the Digital Curation Centre (DCC) interviewed and observed members of the project team in order to identify and analyse key aspects of their data-related activities, recording attitudes towards the data that they create and/or re-use. This paper describes the major issues identified over the course of the case study, which are presented in parallel with the perspectives of the project team in order to demonstrate the multiplicity of views that may be projected onto a single dataset.  It concludes with a contextualisation of the case study’s themes with those of a number of contemporary reports.
  • Kim, Youngseek, Benjamin K. Addom, and Jeffrey N, Stanton.  "Education for eScience Professionals: Integrating Data Curation and Cyberinfrastructure."  International Journal of Digital Curation 6 no. 1 (2011): 125-138.  http://www.ijdc.net/index.php/ijdc/article/view/168/236
    Large, collaboratively managed datasets have become essential to many scientific and engineering endeavors, and their management has increased the need for “eScience professionals” who solve large scale information management problems for researchers and engineers.  This paper considers the dimensions of work, worker, and workplace, including the knowledge, skills, and abilities needed for eScience professionals.  They used focus groups and interviews to explore the needs of scientific researchers and how these needs may translate into curricular and program development choices.  A cohort of five masters students also worked in targeted internship settings and completed internship logs.  They organized this evidence into a job analysis that can be used for curriculum and program development at schools of library and information science.
  • Whyte, Argus, and Graha, Pryor.  "Open Science in Practice: Researcher Perspectives and Participation." International Journal of Digital Curation 6 no. 1 (2011): 199-213.  http://www.ijdc.net/index.php/ijdc/article/view/173/241
    They report on an exploratory study consisting of brief case studies in selected disciplines, examining what motivates researchers to work (or want to work) in an open manner with regard to their data, results and protocols, and whether advantages are delivered by working in this way.  They review the policy background to open science, and literature on the benefits attributed to open data, considering how these relate to curation and to questions of who participates in science.  The case studies investigate the perceived benefits to researchers, research institutions and funding bodies of utilising open scientific methods, the disincentives and barriers, and the degree to which there is evidence to support these perceptions.  Six case study groups were selected in astronomy, bioinformatics, chemistry, epidemiology, language technology and neuroimaging.  The studies identify relevant examples and issues through qualitative analysis of interview transcripts.  They provide a typology of degrees of open working across the research lifecycle, and conclude that better support for open working, through guidelines to assist research groups in identifying the value and costs of working more openly, and further research to assess the risks, incentives and shifts in responsibility entailed by opening up the research process are needed.
  • Higgins, Sarah.  "Workflow Standards for eScience."  February 2008.  http://www.dcc.ac.uk/resources/briefing-papers/standards-watch-papers/workflow-standards-e-science
    Sections include Digital Curation and e-Science Workflows, Standards for e-Science Workflow, Functionality, Implementations, Additional Resources, and Related DCC Resources.

 

Last updated on 09/27/13, 3:08 pm by tlchristian

 

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