Making data count

Kratz, John Ernest; Strasser, Carly

doi:10.1038/sdata.2015.39

Cited by 40 publications

(44 citation statements)

References 17 publications

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“…The shift towards making data the first class research objects (that is, equivalent to the current status of a journal paper 28 ), which can be cited and attributed 18,19 is an important component of the transition to open science (Box 1). Increasing numbers of data sets now have a DOI that can be used to cite data sets.…”

Section: Nature Ecology and Evolutionmentioning

confidence: 99%

Navigating the unfolding open data landscape in ecology and evolution

et al. 2018

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Section: Nature Ecology and Evolutionmentioning

confidence: 99%

Navigating the unfolding open data landscape in ecology and evolution

et al. 2018

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“…Usage metrics for research data are seen as an important indicator of impact by researchers and other stakeholders (Costas, Meijer, Zahedi, & Wouters, 2013, Kratz & Strasser, 2015, second only to data citations. They currently can't fill that role due to the lack of standardization on how usage metrics should be collected and reported.…”

Section: Executive Summarymentioning

confidence: 99%

Code of practice for research data usage metrics release 1

Fenner

Lowenberg

Jones

et al. 2018

Preprint

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The Code of Practice for Research Data Usage Metrics standardizes the generation and distribution of usage metrics for research data, enabling for the first time the consistent and credible reporting of research data usage. This is the first release of the Code of Practice and the recommendations are aligned as much as possible with the COUNTER Code of Practice Release 5 that standardizes usage metrics for many scholarly resources, including journals and books. With the Code of Practice for Research Data Usage Metrics data repositories and platformproviders can report usage metrics following common best practices and using a standard report format. This is an essential step towards realizing usage metrics as a critical component in our understanding of how publicly available research data are being reused. This complements ongoing work on establishing best practices and services for data citation.

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“…Libraries determine the most appropriate benchmark for success within their respective IR (Fralinger & Bull, 2013). Furthermore, the work of Kratz and Strasser found that researchers value download counts second only to citation (Kratz & Strasser 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing Research Data Deposits and Usage Statistics within IDEALS

Wiley

2017

JeSLIB

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Making data count

Cited by 40 publications

References 17 publications

Navigating the unfolding open data landscape in ecology and evolution

Navigating the unfolding open data landscape in ecology and evolution

Code of practice for research data usage metrics release 1

Assessing Research Data Deposits and Usage Statistics within IDEALS

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