Next Generation Cancer Data Discovery, Access, and Integration Using Prizms and Nanopublications View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2013

AUTHORS

James P. McCusker , Timothy Lebo , Michael Krauthammer , Deborah L. McGuinness

ABSTRACT

To encourage data sharing in the life sciences, supporting tools need to minimize effort and maximize incentives. We have created infrastructure that makes it easy to create portals that supports dataset sharing and simplified publishing of the datasets as high quality linked data. We report here on our infrastructure and its use in the creation of a melanoma dataset portal. This portal is based on the Comprehensive Knowledge Archive Network (CKAN) and Prizms, an infrastructure to acquire, integrate, and publish data using Linked Data principles. In addition, we introduce an extension to CKAN that makes it easy for others to cite datasets from within both publications and subsequently-derived datasets using the emerging nanopublication and World Wide Web Consortium provenance standards. More... »

PAGES

105-112

References to SciGraph publications

  • 2012. Towards Unified Provenance Granularities in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2001-10-12. Why and Where: A Characterization of Data Provenance in DATABASE THEORY — ICDT 2001
  • 2012-09. Exome sequencing identifies recurrent somatic RAC1 mutations in melanoma in NATURE GENETICS
  • Book

    TITLE

    Data Integration in the Life Sciences

    ISBN

    978-3-642-39436-2
    978-3-642-39437-9

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-39437-9_9

    DOI

    http://dx.doi.org/10.1007/978-3-642-39437-9_9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1043096787

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27631029


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