Evidence map›Paper›PMID 42342986›Full record

ArticleScientific data2026

How can biological databases support the new UN mechanism for benefit-sharing from digital sequence information?

Débora S Raposo, Davide Faggionato, Barbara Ebert, Pablo Orozco, Guy Cochrane, Yiming Bao, Masanori Arita, Melania Muñoz-García, Jens Freitag, Tim Hirsch and 16 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Débora S RaposoGFBio - German Federation for Biological Data e.V., Bremen, Germany.ORCID http://orcid.org/0000-0001-9318-9129
Davide FaggionatoLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Department of Science Policy & Internationalisation, Braunschweig, Germany.ORCID http://orcid.org/0000-0003-0877-5479
Barbara EbertGFBio - German Federation for Biological Data e.V., Bremen, Germany.
Pablo OrozcoLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Department of Science Policy & Internationalisation, Braunschweig, Germany.
Guy CochraneEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, United Kingdom.ORCID http://orcid.org/0000-0001-7954-7057
Yiming BaoNational Genomics Data Center, China National Center for Bioinformation and University of Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-9922-9723
Masanori AritaBioinformation and DDBJ Center, National Institute of Genetics, Mishima, Japan.ORCID http://orcid.org/0000-0001-6706-0487
Melania Muñoz-GarcíaLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Department of Science Policy & Internationalisation, Braunschweig, Germany.ORCID http://orcid.org/0000-0002-8313-5511
Jens FreitagLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Tim HirschTim Hirsch Consulting, London, United Kingdom.ORCID http://orcid.org/0000-0002-5015-5807
Charles E CookGlobal Biodata Coalition, Hinxton, United Kingdom.
Rutger VosData Competence Center, Naturalis Biodiversity Center, Leiden, Netherlands.
Lorenz ReimerLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Department of Science Policy & Internationalisation, Braunschweig, Germany.ORCID http://orcid.org/0000-0002-7805-0660
Sujeevan RatnasinghamUniversity of Guelph, Guelph, Canada.
Mathieu RouardBioversity International, Montpellier, France.ORCID http://orcid.org/0000-0003-0284-1885
Sarah BrinkleyThe Periodic Table of Food Initiative, Bioversity International, Rome, Italy.ORCID http://orcid.org/0000-0002-0995-0278
Matthias LangeLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.ORCID http://orcid.org/0000-0002-4316-078X
Uwe ScholzLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.ORCID http://orcid.org/0000-0001-6113-3518
Stephan WeiseLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.ORCID http://orcid.org/0000-0003-4031-9131
Björn UsadelForschungszentrum Jülich, Jülich, Germany.ORCID http://orcid.org/0000-0003-0921-8041
Robert D FinnEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, United Kingdom.ORCID http://orcid.org/0000-0001-8626-2148
Chan-Ho ParkFisheries Science Institute, Chonnam National University, Yeosu, South Korea.
Aylin S HaasLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Department of Science Policy & Internationalisation, Braunschweig, Germany.
David CastleSchool of Public Administration, University of Victoria, Victoria, Canada.
Colman O'CathailEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, United Kingdom.ORCID http://orcid.org/0000-0002-0151-0657
Amber H ScholzLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Department of Science Policy & Internationalisation, Braunschweig, Germany. amber.h.scholz@dsmz.de.

Funding

Bundesamt für Naturschutz (German Federal Agency for Nature Conservation) 3522800600EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101094353EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101131959
6 · The paper itself

Abstract

In October 2024, Parties to the United Nations Convention on Biological Diversity agreed to a new multilateral mechanism to fund biodiversity conservation through the sharing of benefits from open biodiversity data. Biological databases hosting genetic and other biological data, known as digital sequence information (DSI), are central to the implementation of the mechanism. This paper assesses the new international agreement and its implications for DSI databases. We walk through the database provisions in COP16 Decision 16/2, which include notifying users and submitters about the mechanism, improving metadata on geographical location of sample collection, and consistency with open access, as well as consideration of the FAIR, CARE, and TRUST principles. Drawing on surveys, interviews, and a workshop with biological database managers, we identify practical and scalable measures including updating terms of use, revising submission procedures, and strengthening user communication. We also propose approaches to capture and report non-monetary benefits such as capacity building, publications, interoperability, and training. These actions illustrate how DSI databases can remain open, sustainable, and globally connected while supporting benefit-sharing from the use of DSI on genetic resources.

Indexed as

BiodiversityDatabases, FactualDatabases, GeneticInformation DisseminationConservation of Natural ResourcesUnited Nations

Identifiers

PMID42342986
PMCPMC13332868

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.