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# ESIIL's Guideline for Intellectual Contributions and Credit | ||
ESIIL's guidelines for intellectual contributions and credit take a comprehensive and inclusive | ||
approach to contributorship, as per Allen et al. 2019 and the CRediT taxonomy (Brand et al. | ||
2015). We advocate for contributions that adhere to the principles of open science while also | ||
respecting data sovereignty (Carroll et al. 2020). We urge all ESIIL participants to implement | ||
these guidelines in all our endorsed research and educational ventures. We acknowledge that | ||
different disciplines, sectors, and institutions may have unique approaches to contributions, | ||
credit, and authorship. However, we strongly advise teams to develop an agreement around | ||
contributions and credit, which should be regularly revisited and updated throughout the project. | ||
When in doubt, lean towards giving credit rather than withholding it. | ||
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**Guidelines:** | ||
1. Initiate early and ongoing conversations among teams about expectations and roles, | ||
acknowledging that these may change over time. Teams should document these discussions | ||
and formalize their decisions (e.g., such as through an authorship agreement form and | ||
contributions table). | ||
2. Honor various forms of contribution, for example, the categories from the CRediT taxonomy: | ||
Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, | ||
Methodology, Project administration, Resources, Software, Supervision, Validation, | ||
Visualization, Writing – original draft, and Writing – review & editing (and there may be other | ||
forms of contribution not adequately addressed here); | ||
3. Consider including author contributions in publications, even if it is not a requirement of the | ||
journal or other outlet; | ||
4. Clarify how credit is attributed to early-career scientists, and ensure that mechanisms are in | ||
place to actively involve them in the contribution process; | ||
5. Create leadership opportunities for, and promote the contributions of, members of | ||
underrepresented communities in work outputs; | ||
6. Where appropriate, provide open access publication of products throughout the entire | ||
scientific process, including pre-prints (Hoy 2020) and for data, tools, code, models, educational | ||
materials, manuscripts, and other intellectual contributions; | ||
7. Consider alternative author listings that provide better recognition of contributions, such as | ||
shared and indicated lead author roles, team author names for very large author groups, and/or | ||
tiered authorship based on efforts; | ||
8. Consider open source licenses when publishing; | ||
9. Explore ways to track success beyond traditional publication citations, for example, altmetrics | ||
that capture attention and engagement on digital platforms, patents and inventions, policy | ||
impact, among others. | ||
These guidelines on intellectual contribution and credit are intended to create a safe intellectual | ||
space for idea exchange, acknowledgment of individual contributions, and facilitation of | ||
large-scale collaborations. | ||
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**References:** | ||
Allen, L., A. O’Connell, and V. Kiermer. 2019. How can we ensure visibility and diversity in | ||
research contributions? How the Contributor Role Taxonomy (CRediT) is helping the shift from | ||
authorship to contributorship. Learned Publishing 32:71–74. | ||
Brand, A., L. Allen, M. Altman, M. Hlava, and J. Scott. 2015. Beyond authorship: attribution, | ||
contribution, collaboration, and credit. Learned Publishing 28:151–155. | ||
Carroll, S. R., I. Garba, O. L. Figueroa-Rodríguez, J. Holbrook, R. Lovett, S. Materechera, M. | ||
Parsons, K. Raseroka, D. Rodriguez-Lonebear, R. Rowe, R. Sara, J. D. Walker, J. Anderson, | ||
and M. Hudson. 2020. The CARE Principles for Indigenous data governance. Data Science | ||
Journal 19:43. | ||
Hoy, M. B. 2020. Rise of the Rxivs: How preprint servers are changing the publishing process. | ||
Medical Reference Services Quarterly 39:84–89. |