Abstract
Special issue on bibliographic data sources
Highlights
Research in quantitative science studies relies on an increasingly broad range of data sources, providing data on scholarly publications, social media activity, peer review, research funding, the scholarly workforce, scientific prizes, and so on
Several organizations provide large-scale databases of metadata on scholarly publications. For this special issue of Quantitative Science Studies, we invited the providers of major bibliographic data sources to provide insights on how their data can be used to support research in quantitative science studies
Data sources that focus on specific scientific fields (e.g., PubMed from the US National Library of Medicine) or specific countries are not included
Summary
Research in quantitative science studies relies on an increasingly broad range of data sources, providing data on scholarly publications, social media activity, peer review, research funding, the scholarly workforce, scientific prizes, and so on. Several organizations provide large-scale databases of metadata on scholarly publications For this special issue of Quantitative Science Studies, we invited the providers of major bibliographic data sources to provide insights on how their data can be used to support research in quantitative science studies. Data sources that focus on specific scientific fields (e.g., PubMed from the US National Library of Medicine) or specific countries (e.g., national databases of scholarly publications) are not included We hope that this special issue will help authors of submissions to Quantitative Science Studies to choose the most suitable bibliographic data source for their research. The number of options has increased considerably This special issue aims to characterize the most important data sources currently available and to show how they differ in various dimensions, for instance in the data they provide, their level of openness, and their support for making research reproducible.
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