How can we ensure visibility and diversity in research contributions? How the Contributor Role Taxonomy (CRediT) is helping the shift from authorship to contributorship

Allen, Liz; O’Connell, Alison; Kiermer, Véronique

doi:10.1002/leap.1210

Cited by 160 publications

(139 citation statements)

References 15 publications

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“…Other disciplines too have pushed efforts to create a richer taxonomy of contributions for research articles, with the CRediT system [3] detailing 14 different possible roles, one of which is software: the key idea is that each person listed as an author needs to specify one or more of the 14 roles.…”

Section: A Taxonomy Of Contributor Roles: a Proposalmentioning

confidence: 99%

Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria

et al. 2020

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Software is a fundamental pillar of modern scientific research, across all fields and disciplines. However, there is a lack of adequate means to cite and reference software due to the complexity of the problem in terms of authorship, roles and credits. This complexity is further increased when it is considered over the lifetime of a software that can span up to several decades. Building upon the internal experience of Inria, the French research institute for digital sciences, we provide in this paper a contribution to the ongoing efforts in order to develop proper guidelines and recommendations for software citation and reference. Namely, we recommend: (1) a richer taxonomy for software contributions with a qualitative scale; (2) to put humans at the heart of the evaluation; and (3) to distinguish citation from reference.

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Section: A Taxonomy Of Contributor Roles: a Proposalmentioning

confidence: 99%

Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria

et al. 2020

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“…In addition, CRediT is implemented in ReView software (http://rivervalleytechnologies.com/reviewintuitive-and-powerful-peer-review/). By late 2018, about 120 journals and publishing platforms had adopted CRediT [52]. At the time of writing, CRediT had been endorsed by the US National Academy of Sciences [53] and Science [54].…”

Section: The Contributor Roles Taxonomy: Promises and Pitfallsmentioning

confidence: 99%

Transparent Attribution of Contributions to Research: Aligning Guidelines to Real-Life Practices

Matarese¹,

Shashok²

2019

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Research studies, especially in the sciences, may benefit from substantial non-author support without which they could not be completed or published. The term “contributorship” was coined in 1997 to recognize all contributions to a research study, but its implementation (mostly in biomedical reports) has been limited to the inclusion of an “Author Contributions” statement that omits other contributions. To standardize the reporting of contributions across disciplines, irrespective of whether a given contribution merits authorship or acknowledgment, the Contributor Roles Taxonomy (CRediT) was launched in 2014. Our assessment, however, shows that in practice, CRediT is a detailed authorship classification that risks denying appropriate credit for persons who contribute as non-authors. To illustrate the shortcomings in CRediT and suggest improvements, in this article we review key concepts of authorship and contributorship and examine the range of non-author contributions that may (or may not) be acknowledged. We then briefly describe different types of editorial support provided by (non-author) translators, authors’ editors and writers, and explain why it is not always acknowledged. Finally, we propose two new CRediT taxa and revisions to three existing taxa regarding both technical and editorial support, as a small but important step to make credit attribution more transparent, accurate and open.

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“…Much of the work described in chapters 3 to 5 has benefited from contributions by fellow graduate students, supervisors, and researchers. Table 1-1 applies the Contributor Role Taxonomy (Allen et al, 2019) to attribute contributions by the author of this dissertation and his colleagues for each of those chapters.…”

Section: Contributions By Colleaguesmentioning

confidence: 99%

Sedimentary basin geothermal favourability mapping and power generation assessments

et al. 2018

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Mitigating climate change requires elimination of fossil fuel related greenhouse gas emissions. Transitioning electricity generation to low-carbon sources and substituting fossil fuels with electricity in non-electric sectors is considered to be a key strategy. This dissertation investigates resource options to and land area impacts of decarbonizing electricity generation and electrifying adjacent sectors. Three studies analyze transition options in the western Canadian provinces of Alberta and British Columbia. The first study investigates technology transition pathways and land area impacts of reducing electricity generation related carbon emissions in fossil fuel-dominated Alberta. A final 70% share of wind, solar, and hydro power reduces emissions by 90% between 2015 and 2060. This scenario requires designating 5% additional land area to electricity generation annually. Land is largely designated to the required space between wind turbines, with smaller areas attributed to ground-mounted solar and hydro power. System planners can reduce the land area impacts by deploying more compact geothermal, rooftop solar and natural gas with carbon capture and sequestration (CCS) technologies. These technology compositions can hold land area impacts constant in time if depleted natural gas and CCS infrastructure is expediently reclaimed, but total net present system costs increase by 11% over the 45-year period. Without reclamation, fuel extraction and carbon sequestration increase land area impacts at least fourfold within this time period. The second study investigates sedimentary basin geothermal resources in northeastern British Columbia. Geothermal energy is a potentially low-cost, low-carbon, dispatchable resource for electricity generation with a relatively small land area impact. A two-step method first geospatially overlays economic and geological criteria to highlight areas favourable to geothermal development. Next, the Volume Method applies petroleum exploration and production data in Monte Carlo probability simulations to estimate electricity generation potential at the four areas with highest favourability (Clarke Lake, Jedney, Horn River, and Prophet River). The total power generation potential of all four areas is determined to be 107 MW. Volume normalized reservoir potentials range from 1.8 xvi Dedication I dedicate this dissertation to my parents, Richard and Dagmar Palmer-Wilson, and to my grandparents, Gerhard and Ilka Radke. The weight of this work calmly rests on their unending love, support, patience and wisdom. "Wenn die Kinder jung sind, gib ihnen tiefe Wurzeln. Danach gib ihnen Flügel." Table 1-1 Attribution of contributions to chapters 3 to 5 Contributor Contributions Ch.

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How can we ensure visibility and diversity in research contributions? How the Contributor Role Taxonomy (CRediT) is helping the shift from authorship to contributorship

Cited by 160 publications

References 15 publications

Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria

Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria

Transparent Attribution of Contributions to Research: Aligning Guidelines to Real-Life Practices

Sedimentary basin geothermal favourability mapping and power generation assessments

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