An introduction to the coverage of the Data Citation Index (Thomson-Reuters): disciplines, document types and repositories

TL;DR

This paper introduces the Data Citation Index by Thomson Reuters, analyzing its coverage across disciplines, document types, and repositories to facilitate data discovery and access in various scientific fields.

Contribution

It provides an initial analysis of the Data Citation Index's scope, including discipline coverage, data types, and repository inclusion, highlighting its role in data sharing and discovery.

Findings

Broad discipline coverage across multiple scientific fields

Diverse data types included in the index

Repository inclusion varies by subject area

Abstract

In the past years, the movement of data sharing has been enjoying great popularity. Within this context, Thomson Reuters launched at the end of 2012 a new product inside the Web of Knowledge family: the Data Citation Index. The aim of this tool is to enable discovery and access, from a single place, to data from a variety of data repositories from different subject areas and from around the world. In this short note we present some preliminary results from the analysis of the Data Citation Index. Specifically, we address the following issues: discipline coverage, data types present in the database, and repositories that were included at the time of the study