{"doi":"10.1111/1755-0998.13880","title":"Journeying towards best practice data management in biodiversity genomics","abstract":"<jats:title>Abstract</jats:title><jats:p>Advances in sequencing technologies and declining costs are increasing the accessibility of large‐scale biodiversity genomic datasets. To maximize the impact of these data, a careful, considered approach to data management is essential. However, challenges associated with the management of such datasets remain, exacerbated by uncertainty among the research community as to what constitutes best practices. As an interdisciplinary team with diverse data management experience, we recognize the growing need for guidance on comprehensive data management practices that minimize the risks of data loss, maximize efficiency for stand‐alone projects, enhance opportunities for data reuse, facilitate Indigenous data sovereignty and uphold the FAIR and CARE Guiding Principles. Here, we describe four fictional personas reflecting differing user experiences with data management to identify data management challenges across the biodiversity genomics research ecosystem. We then use these personas to demonstrate realistic considerations, compromises and actions for biodiversity genomic data management. We also launch the Biodiversity Genomics Data Management Hub (<jats:ext-link xmlns:xlink=\"http://www.w3.org/1999/xlink\" xlink:href=\"https://genomicsaotearoa.github.io/data-management-resources/\">https://genomicsaotearoa.github.io/data‐management‐resources/</jats:ext-link>), containing tips, tricks and resources to support biodiversity genomics researchers, especially those new to data management, in their journey towards best practice. The Hub also provides an opportunity for those biodiversity researchers whose expertise lies beyond genomics and are keen to advance their data management journey. We aim to support the biodiversity genomics community in embedding data management throughout the research lifecycle to maximize research impact and outcomes.</jats:p>","journal":"Molecular Ecology Resources","year":2025,"id":644743,"datarank":0.4375959308001925,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"self_citation_contribution":0.32958368660043297,"citation_network_contribution":0.10801224419975954,"self_endowment_contribution":0.32958368660043297,"citer_contribution":0.10801224419975954,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":7,"citers_with_citation_signal":6,"citers_with_endowment":6,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1678365,"name":"Jana Wold","orcid":"0000-0001-8095-4282","position":1,"is_corresponding":false},{"id":1678366,"name":"Anton Angelo","orcid":null,"position":2,"is_corresponding":false},{"id":1678367,"name":"François Bissey","orcid":null,"position":3,"is_corresponding":false},{"id":1678368,"name":"Jamie Hart","orcid":null,"position":4,"is_corresponding":false},{"id":1678369,"name":"Mitchell Head","orcid":null,"position":5,"is_corresponding":false},{"id":852473,"name":"Libby Liggins","orcid":"0000-0003-1143-2346","position":6,"is_corresponding":false},{"id":1678370,"name":"Dinindu Senanayake","orcid":null,"position":7,"is_corresponding":false},{"id":1678371,"name":"Tammy E. 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As an interdisciplinary team with diverse data management experience, we recognize the growing need for guidance on comprehensive data management practices that minimize the risks of data loss, maximize efficiency for stand‐alone projects, enhance opportunities for data reuse, facilitate Indigenous data sovereignty and uphold the FAIR and CARE Guiding Principles. Here, we describe four fictional personas reflecting differing user experiences with data management to identify data management challenges across the biodiversity genomics research ecosystem. We then use these personas to demonstrate realistic considerations, compromises and actions for biodiversity genomic data management. 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We aim to support the biodiversity genomics community in embedding data management throughout the research lifecycle to maximize research impact and outcomes.</jats:p>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"37873890","pmcid":"PMC11696474","openalex_id":null,"authors":[],"funders":[{"funder_name":"Wellcome Trust","grant_id":"unidentified","title":"unidentified"}],"total_grants":1,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"hybrid","license":"cc-by-nc","oa_locations":[{"url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1755-0998.13880","host_type":"publisher"},{"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/1755-0998.13880","host_type":"publisher"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11696474/pdf/MEN-25-e13880.pdf","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC11696474","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC11696474?pdf=render","host_type":"Europe_PMC"},{"url":"https://doi.org/10.22541/au.168328087.77582585/v1","host_type":""},{"url":"https://doi.org/10.22541/au.168328087.77582585/v2","host_type":""},{"url":"https://doi.org/10.1111/1755-0998.13880","host_type":""},{"url":"https://doi.org/10.22541/au.168328087.77582585/v3","host_type":""},{"url":"https://pubmed.ncbi.nlm.nih.gov/37873890","host_type":""},{"url":"http://dx.doi.org/10.1111/1755-0998.13880","host_type":""}],"fields_of_study":["0206 medical engineering","02 engineering and technology"],"mesh_terms":["Genomics","Biodiversity","Data Management"],"keywords":["Data Management Plans","Fair Guiding Principles","Digital Sequence Information","Care Principles For Indigenous Data Governance","Data Lifecycle","Indigenous Data Sovereignty","RESOURCE ARTICLE","Biodiversity","Genomics","Data Management"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-09T01:59:58.373526Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}