Provenance-Based Retrieval: Fostering Reuse and Reproducibility Across Scientific Disciplines View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Lucas Augusto Montalvão Costa Carvalho , Rodrigo L. Silveira , Caroline S. Pereira , Munir S. Skaf , Claudia Bauzer Medeiros

ABSTRACT

When computational researchers from several domains cooperate, one recurrent problem is finding tools, methods and approaches that can be used across disciplines, to enhance collaboration through reuse. The paper presents our ongoing work to meet the challenges posed by provenance-based retrieval, proposed as a solution for transdisciplinary scientific collaboration via reuse of scientific workflows. Our work is based upon a case study in molecular dynamics experiments, as part of a larger multi-scale experimental scenario. More... »

PAGES

183-186

References to SciGraph publications

  • 2015. Provenance-Based Searching and Ranking for Scientific Workflows in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2010. Janus: From Workflows to Semantic Provenance and Linked Open Data in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • Book

    TITLE

    Provenance and Annotation of Data and Processes

    ISBN

    978-3-319-40592-6
    978-3-319-40593-3

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-40593-3_17

    DOI

    http://dx.doi.org/10.1007/978-3-319-40593-3_17

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037616244


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