• DocumentCode
    2934436
  • Title

    Enforcing Scientific Data Sharing Agreements

  • Author

    Wilson, Michael ; Crompton, Shirley ; Matthews, Brian ; Orlov, Alexey

  • Author_Institution
    STFC e-Sci. Centre, Rutherford Appleton Lab., Didcot, UK
  • fYear
    2011
  • fDate
    5-8 Dec. 2011
  • Firstpage
    271
  • Lastpage
    278
  • Abstract
    There are currently strong drivers from funding bodies for the scientific community to both preserve data and make it available more widely, whilst ensuring that privacy and confidentiality are maintained. Institutional data sharing policies will be required to encapsulate the response of individual institutions to these pressures. When organisations share data they adopt these policies into data sharing agreements between institutions which must then be enforced. The approach to enforcing scientific data sharing agreements presented here is based upon a combination of trust, leading-edge technology, licensing and legal frameworks. The scientific community must decide what balance between these components it wants to adopt.
  • Keywords
    law; scientific information systems; trusted computing; confidentiality; funding body; institutional data sharing policy; leading-edge technology; legal frameworks; licensing; privacy; scientific community; scientific data sharing agreements; Analytical models; Authorization; Law; Natural languages; Servers; Vocabulary; controlled natural language; formal methods usability; formal model checking; policy based management; policy usability; scientific data management policies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Science (e-Science), 2011 IEEE 7th International Conference on
  • Conference_Location
    Stockholm
  • Print_ISBN
    978-1-4577-2163-2
  • Type

    conf

  • DOI
    10.1109/eScience.2011.45
  • Filename
    6123288