Pathways for converting zooplankton traits to ecological insights are paved with findable, accessible, interoperable, and reusable (FAIR) data practices Article Swipe
Jessica Titocci
,
Patrick R. Pata
,
Tiziana Durazzano
,
Sakina‐Dorothée Ayata
,
Corentin Clerc
,
Astrid Cornils
,
Patrick I. Duffy
,
Adam T. Greer
,
Claudia Halsband
,
Ryan Heneghan
,
Anaïs Lacoursière‐Roussel
,
Fabien Lombard
,
Sanna Majaneva
,
Evgeny A. Pakhomov
,
Carolina Reis
,
Sinja Rist
,
Alix C M Rommel
,
Teresa Silva
,
Lars Stemmann
,
Kevin Ugwu
,
Alberto Basset
,
Ilaria Rosati
,
Kieran Murphy
,
Brian P. V. Hunt
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1093/icesjms/fsaf017
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1093/icesjms/fsaf017
The use of trait-based approaches and trait data in zooplankton ecology is rapidly growing to better understand and predict the patterns of zooplankton distributions and their role in aquatic ecosystems and biogeochemical cycles. Although the number of zooplankton trait-based studies and available trait datasets is increasing, several challenges remain for the findability, accessibility, interoperability, and reusability (FAIR) in trait-based approaches that, if unaddressed, may stifle progress in this research area. Here, we review recent applications of trait-based approaches in zooplankton research and summarize the currently available trait data resources. To realize the potential of trait-based approaches to resolve ecological roles of zooplankton, datasets and approaches must adhere to FAIR principles. We provide recommendations and pathways forward to ensure FAIRness while highlighting the importance of collaborative efforts. These practical and easily implementable strategies will enhance the FAIRness of trait data, ultimately advancing zooplankton ecological research and connecting these findings to aquatic ecosystem functioning.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/icesjms/fsaf017
- OA Status
- gold
- Cited By
- 6
- References
- 101
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409829861
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409829861Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/icesjms/fsaf017Digital Object Identifier
- Title
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Pathways for converting zooplankton traits to ecological insights are paved with findable, accessible, interoperable, and reusable (FAIR) data practicesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-01Full publication date if available
- Authors
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Jessica Titocci, Patrick R. Pata, Tiziana Durazzano, Sakina‐Dorothée Ayata, Corentin Clerc, Astrid Cornils, Patrick I. Duffy, Adam T. Greer, Claudia Halsband, Ryan Heneghan, Anaïs Lacoursière‐Roussel, Fabien Lombard, Sanna Majaneva, Evgeny A. Pakhomov, Carolina Reis, Sinja Rist, Alix C M Rommel, Teresa Silva, Lars Stemmann, Kevin Ugwu, Alberto Basset, Ilaria Rosati, Kieran Murphy, Brian P. V. HuntList of authors in order
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https://doi.org/10.1093/icesjms/fsaf017Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1093/icesjms/fsaf017Direct OA link when available
- Concepts
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Interoperability, Zooplankton, Ecology, Computer science, Biology, World Wide WebTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 6Per-year citation counts (last 5 years)
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101Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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