Advancing microbiome research through standardized data and metadata collection: introducing the Microbiome Research Data Toolkit.


Journal

Database : the journal of biological databases and curation
ISSN: 1758-0463
Titre abrégé: Database (Oxford)
Pays: England
ID NLM: 101517697

Informations de publication

Date de publication:
21 Aug 2024
Historique:
received: 10 04 2024
revised: 28 06 2024
accepted: 15 08 2024
medline: 21 8 2024
pubmed: 21 8 2024
entrez: 21 8 2024
Statut: ppublish

Résumé

Microbiome research has made significant gains with the evolution of sequencing technologies. Ensuring comparability between studies and enhancing the findability, accessibility, interoperability and reproducibility of microbiome data are crucial for maximizing the value of this growing body of research. Addressing the challenges of standardized metadata reporting, collection and curation, the Microbiome Working Group of the Human Hereditary and Health in Africa (H3Africa) consortium aimed to develop a comprehensive solution. In this paper, we present the Microbiome Research Data Toolkit, a versatile tool designed to standardize microbiome research metadata, facilitate MIxS-MIMS and PhenX reporting, standardize prospective collection of participant biological and lifestyle data, and retrospectively harmonize such data. This toolkit enables past, present and future microbiome research endeavors to collaborate effectively, fostering novel collaborations and accelerating knowledge discovery in the field. Database URL: https://doi.org/10.25375/uct.24218999.v2.

Identifiants

pubmed: 39167718
pii: 7738174
doi: 10.1093/database/baae062
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
ID : 1U24HG009780
Pays : United States
Organisme : NIH HHS
ID : 1U24HG009780
Pays : United States

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press.

Auteurs

Lyndon Zass (L)

Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Rondebosch, Cape Town 7701, South Africa.

Lamech M Mwapagha (LM)

Department of Biology, Chemistry and Physics, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Private Bag 13388, 13 Jackson Kaujeua Street, Windhoek, Namibia.

Adetola F Louis-Jacques (AF)

Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Florida, 1600 SW Archer Road, Gainesville, FL 32610, USA.

Imane Allali (I)

Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco.

Julius Mulindwa (J)

Department of Biochemistry and Sports Sciences, College of Natural Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda.

Anmol Kiran (A)

Malawi-Liverpool-Wellcome Trust, P.O. Box 30096, Blantyre 3, Malawi.
Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool CH64 7TE, UK.

Mariem Hanachi (M)

Laboratory of Bioinformatics, Biomathematics and Biostatistics (LR16IPT09), Institute Pasteur of Tunis, University Tunis El Manar, 13, Place Pasteur, B.P. 74, Tunis 1002, Tunisia.

Oussama Souiai (O)

Laboratory of Bioinformatics, Biomathematics and Biostatistics (LR16IPT09), Institute Pasteur of Tunis, University Tunis El Manar, 13, Place Pasteur, B.P. 74, Tunis 1002, Tunisia.

Nicola Mulder (N)

Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Rondebosch, Cape Town 7701, South Africa.

Ovokeraye H Oduaran (OH)

Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, 9 Jubilee Road, Parktown 2193, Johannesburg, Johannesburg, South Africa.

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Classifications MeSH