ArticleFrontiers in genetics2022
Benefit sharing: Why inclusive provenance metadata matter.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Indigenous microorganisms and benefit sharing.FEMS yeast research · 2026Review
- A workshop considering genetic research and data collection with American Indian and Alaska Native people outside of Tribal jurisdiction.Frontiers in genetics · 2026Article
- The Donkey Genome: From Evolutionary Insights to Sustainable Breeding Strategies.Animals : an open access journal from MDPI · 2025Review
- Opening doors to physical sample tracking and attribution in Earth and environmental sciences.Scientific data · 2025Article
- Navigating COP16's digital sequence information outcomes: What researchers need to do in practice.Patterns (New York, N.Y.) · 2025Article
- Aotearoa genomic data repository: An āhuru mōwai for taonga species sequencing data.Molecular ecology resources · 2025Article
- The Amphibian Genomics Consortium: advancing genomic and genetic resources for amphibian research and conservation.BMC genomics · 2024Review
- The Amphibian Genomics Consortium: advancing genomic and genetic resources for amphibian research and conservation.bioRxiv : the preprint server for biology · 2024Article
- Investigating the Roles and Responsibilities of Institutional Signing Officials After Data Sharing Policy Reform for Federally Funded Research in the United States: National Survey.JMIR formative research · 2024Article
- Indigenous peoples and local communities as partners in the sequencing of global eukaryotic biodiversity.npj biodiversity · 2023Review
- Advancing stroke genetics in Hawai'i and the Pacific Islands.Frontiers in stroke · 2023Article
- Indigenous Peoples' Rights in Data: a contribution toward Indigenous Research Sovereignty.Frontiers in research metrics and analytics · 2023Article
- Extending the CARE Principles from tribal research policies to benefit sharing in genomic research.Frontiers in genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fair and equitable benefit sharing of genetic resources is an expectation of the Nagoya Protocol. Although the Nagoya Protocol does not yet formally apply to Digital Sequence Information ("DSI"), discussions are currently underway regarding to include such data through ongoing Convention on Biological Diversity ("CBD") negotiations. While Indigenous Peoples and Local Communities ("IPLC") expect the value generated from genomic data to be subject to benefit sharing arrangements, a range of views are currently being expressed by Nation States, IPLC and other stakeholders. The use of DSI gives rise to unique considerations, creating a gray area as to how it should be considered under the Nagoya Protocol's Access and Benefit Sharing ("ABS") principles. One way for benefit sharing to be enhanced is through the connection of data to proper provenance information. A significant development is the use of digital labeling systems to ensure that the origin of samples is appropriately disclosed. The Traditional Knowledge and Biocultural Labels initiative offers a practical option for data provided to genomic databases. In particular, the BioCultural Labels ("BC Labels") are a mechanism for Indigenous communities to identify and maintain provenance, origin and authority over biocultural material and data generated from Indigenous land and waters held in research, cultural institutions and data repositories. This form of cultural metadata adds value to the research endeavor and the creation of Indigenous fields within databases adds transparency and accountability to the research environment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.