Dimensions: Bringing down barriers between scientometricians and data
File(s)
Published version
Author(s)
Herzog, Christian
Hook, Daniel
Konkiel, Stacy
Type
Journal Article
Abstract
Until recently, comprehensive scientometrics data has been made available only in siloed, subscription-based tools that are inaccessible to researchers who lack institutional support and resources. As a result of limited data access, research evaluation practices have focused upon basic indicators that only take publications and their citation rates into account. This has blocked innovation on many fronts. Dimensions is a database that links and contextualizes different research information objects. It brings together data describing and linking awarded grants, clinical trials, patents, and policy documents, as well as altmetric information, alongside traditional publications and citations data. This article describes the approach that Digital Science is taking to support the scientometric community, together with the various Dimensions tools available to researchers who wish to use Dimensions data in their research at no cost.
Date Issued
2020-01-23
Date Acceptance
2019-12-05
Citation
Quantitative Science Studies, 2020, 1 (1), pp.387-395
ISSN
2641-3337
Publisher
MIT Press - Journals
Start Page
387
End Page
395
Journal / Book Title
Quantitative Science Studies
Volume
1
Issue
1
Copyright Statement
© 2020 Christian Herzog, Daniel Hook, and Stacy Konkiel. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.
Identifier
https://www.mitpressjournals.org/doi/full/10.1162/qss_a_00020
Publication Status
Published
Date Publish Online
2020-01-23