Enabling Researchers to Make their Data Count

Ajit Singh

ISBN 10: 366892600X / ISBN 13: 9783668926004

Verlag: GRIN Verlag

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9783668926004

Bibliografische Details

• Titel: Enabling Researchers to Make their Data Count
• Verlag: GRIN Verlag
• Sprache: Englisch
• ISBN-10: 366892600X
• ISBN-13: 9783668926004
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.