The data‐index: An author‐level metric that values impactful data and incentivizes data sharing

Abstract Author‐level metrics are a widely used measure of scientific success. The h‐index and its variants measure publication output (number of publications) and research impact (number of citations). They are often used to influence decisions, such as allocating funding or jobs. Here, we argue th...

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Autores principales:	Amelia S. C. Hood, William J. Sutherland
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	author‐level metrics bibliometrics data citation data metrics data sharing dataset repositories Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/54d522f7963045f398618141e0613189
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spelling	oai:doaj.org-article:54d522f7963045f398618141e06131892021-11-08T17:10:40ZThe data‐index: An author‐level metric that values impactful data and incentivizes data sharing2045-775810.1002/ece3.8126https://doaj.org/article/54d522f7963045f398618141e06131892021-11-01T00:00:00Zhttps://doi.org/10.1002/ece3.8126https://doaj.org/toc/2045-7758Abstract Author‐level metrics are a widely used measure of scientific success. The h‐index and its variants measure publication output (number of publications) and research impact (number of citations). They are often used to influence decisions, such as allocating funding or jobs. Here, we argue that the emphasis on publication output and impact hinders scientific progress in the fields of ecology and evolution because it disincentivizes two fundamental practices: generating impactful (and therefore often long‐term) datasets and sharing data. We describe a new author‐level metric, the data‐index, which values both dataset output (number of datasets) and impact (number of data‐index citations), so promotes generating and sharing data as a result. We discuss how it could be implemented and provide user guidelines. The data‐index is designed to complement other metrics of scientific success, as scientific contributions are diverse and our value system should reflect that both for the benefit of scientific progress and to create a value system that is more equitable, diverse, and inclusive. Future work should focus on promoting other scientific contributions, such as communicating science, informing policy, mentoring other scientists, and providing open‐access code and tools.Amelia S. C. HoodWilliam J. SutherlandWileyarticleauthor‐level metricsbibliometricsdata citationdata metricsdata sharingdataset repositoriesEcologyQH540-549.5ENEcology and Evolution, Vol 11, Iss 21, Pp 14344-14350 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	author‐level metrics bibliometrics data citation data metrics data sharing dataset repositories Ecology QH540-549.5
spellingShingle	author‐level metrics bibliometrics data citation data metrics data sharing dataset repositories Ecology QH540-549.5 Amelia S. C. Hood William J. Sutherland The data‐index: An author‐level metric that values impactful data and incentivizes data sharing
description	Abstract Author‐level metrics are a widely used measure of scientific success. The h‐index and its variants measure publication output (number of publications) and research impact (number of citations). They are often used to influence decisions, such as allocating funding or jobs. Here, we argue that the emphasis on publication output and impact hinders scientific progress in the fields of ecology and evolution because it disincentivizes two fundamental practices: generating impactful (and therefore often long‐term) datasets and sharing data. We describe a new author‐level metric, the data‐index, which values both dataset output (number of datasets) and impact (number of data‐index citations), so promotes generating and sharing data as a result. We discuss how it could be implemented and provide user guidelines. The data‐index is designed to complement other metrics of scientific success, as scientific contributions are diverse and our value system should reflect that both for the benefit of scientific progress and to create a value system that is more equitable, diverse, and inclusive. Future work should focus on promoting other scientific contributions, such as communicating science, informing policy, mentoring other scientists, and providing open‐access code and tools.
format	article
author	Amelia S. C. Hood William J. Sutherland
author_facet	Amelia S. C. Hood William J. Sutherland
author_sort	Amelia S. C. Hood
title	The data‐index: An author‐level metric that values impactful data and incentivizes data sharing
title_short	The data‐index: An author‐level metric that values impactful data and incentivizes data sharing
title_full	The data‐index: An author‐level metric that values impactful data and incentivizes data sharing
title_fullStr	The data‐index: An author‐level metric that values impactful data and incentivizes data sharing
title_full_unstemmed	The data‐index: An author‐level metric that values impactful data and incentivizes data sharing
title_sort	data‐index: an author‐level metric that values impactful data and incentivizes data sharing
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/54d522f7963045f398618141e0613189
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The data‐index: An author‐level metric that values impactful data and incentivizes data sharing

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