Browse by Author "Sacchi, Simone"

  • Sacchi, Simone (ACM, 2011-02)
    Are Web 2.0 tools and technologies changing how and why scholars annotate their research sources? We begin to answer this question by assessing current technology and tools that support new functions for one of the most ...

    application/pdf

    application/pdfPDF (608Kb)
  • Jett, Jacob; Sacchi, Simone; Lee, Jin Ha; Clarke, Rachel Ivy (Wiley, 2015)
    In this paper, we describe a conceptual model for video games and interactive media. Existing conceptual models such as the Functional Requirements for Bibliographic Records (FRBR) are not adequate to represent the unique ...

    application/pdf

    application/pdfPDF (928Kb)
  • Wickett, Karen M.; Sacchi, Simone; Dubin, David; Renear, Allen H. (American Society for Information Science and Technology, 2012-10)
    Heterogeneous digital data that has been produced by different communities with varying practices and assumptions, and that is organized according to different representation schemes, encodings, and file formats, presents ...

    application/pdf

    application/pdfPDF (147Kb)
  • Palmer, Carole L.; Chao, Tiffany C.; Weber, Nicholas M.; Sacchi, Simone (American Society for Information Science and Technology, 2012-03-22)
    Two research teams within the Data Conservancy (http://dataconservancy.org/) project are investigating different aspects of scientific data curation. Data Concepts is developing a conceptual model to foster shared understanding ...

    application/pdf

    application/pdfPDF (3Mb)
  • Varvel, Virgil E., Jr.; Palmer, Carole L.; Chao, Tiffany C.; Sacchi, Simone (2011-07-22)
    Over the course of the summit, three themes were prominent across the presentations and discussion: advancing professional education, coordination across disciplines and sectors, and key educational challenges. Each of ...

    application/pdf

    application/pdfPDF (705Kb)
  • Wickett, Karen M.; Thomer, Andrea; Sacchi, Simone; Baker, Karen S.; Dubin, David (American Society for Information Science and Technology, 2012-03-22)
    Scientific data is encoded and described with the aim of supporting retrieval, meaningful interpretation and reuse. Encoding standards for datasets like FGDC, DwC, EML typically include tagged metadata elements along with ...

    application/pdf

    application/pdfPDF (4Mb)