Dimensions: Bringing down barriers between scientometricians and data

Dimensions: Bringing down barriers between scientometricians and data

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 u...

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Main Authors: Herzog, Christian, Hook, Daniel, Konkiel, Stacy
Format: Article
Language:English
Published: The MIT Press 2020-02-01
Series:Quantitative Science Studies
Online Access:https://www.mitpressjournals.org/doi/abs/10.1162/qss_a_00020
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spelling doaj-1031290d6f654ba78d97870f9b44a5f12020-11-25T02:00:22ZengThe MIT PressQuantitative Science Studies2641-33372020-02-011138739510.1162/qss_a_00020Dimensions: Bringing down barriers between scientometricians and dataHerzog, ChristianHook, DanielKonkiel, Stacy 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. https://www.mitpressjournals.org/doi/abs/10.1162/qss_a_00020
collection DOAJ
language English
format Article
sources DOAJ
author Herzog, Christian
Hook, Daniel
Konkiel, Stacy
spellingShingle Herzog, Christian
Hook, Daniel
Konkiel, Stacy
Dimensions: Bringing down barriers between scientometricians and data
Quantitative Science Studies
author_facet Herzog, Christian
Hook, Daniel
Konkiel, Stacy
author_sort Herzog, Christian
title Dimensions: Bringing down barriers between scientometricians and data
title_short Dimensions: Bringing down barriers between scientometricians and data
title_full Dimensions: Bringing down barriers between scientometricians and data
title_fullStr Dimensions: Bringing down barriers between scientometricians and data
title_full_unstemmed Dimensions: Bringing down barriers between scientometricians and data
title_sort dimensions: bringing down barriers between scientometricians and data
publisher The MIT Press
series Quantitative Science Studies
issn 2641-3337
publishDate 2020-02-01
description 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.
url https://www.mitpressjournals.org/doi/abs/10.1162/qss_a_00020
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AT konkielstacy dimensionsbringingdownbarriersbetweenscientometriciansanddata
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