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Enabling Researchers to Make their Data Count

Ajit , Singh

Enabling Researchers to Make their Data Count
Enabling Researchers to Make their Data Count

Enabling Researchers to Make their Data Count

Ajit , Singh

Paperback | English
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Description

Research Paper (postgraduate) from the year 2019 in the subject Computer Science - Software, , course: MCA, language: English, abstract: In this paper, I describe the outcomes of the work of the Scholarly Link Exchange (Scholix) working group and the Data Usage Metrics working group. The Scholix working group developed a framework that allows organizations to expose and discover links between articles and datasets, thereby providing an indication of data citations. The Data Usage Metrics group works on a standard for the measurement and display of Data Usage Metrics. Here I explain how publishers and data repositories can contribute to and benefit from these initiatives. Together, these contributions feed into several hubs that enable data repositories to start displaying DLMs. Once these DLMs are available, researchers are in a better position to make their data count and be rewarded for their work. Over the last years, many organizations have been working on infrastructure to facilitate sharing and reuse of research data. This means that researchers now have ways of making their data available, but not necessarily incentives to do so. Several Research Data Alliance (RDA) working groups have been working on ways to start measuring activities around research data to provide input for new Data Level Metrics (DLMs). These DLMs are a critical step towards providing researchers with credit for their work.

20+ Years of strong teaching experience for Under Graduate and Post Graduate courses of Computer Science across several colleges of Patna University and NIT Patna, Bihar, IND. Written several Computer Science academic books ( http://www.amazon.com/author/ajitsingh) and published several research papers across the World.

Specifications

  • Publisher
    GRIN Verlag
  • Edition
    19001
  • Pub date
    Jun 2019
  • Pages
    16
  • Theme
    Mathematical theory of computation
  • Dimensions
    210 x 148 x 2 mm
  • Weight
    40 gram
  • EAN
    9783668926004
  • Paperback
    Paperback
  • Language
    English

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