mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites

Abstract Background Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease which involves multiple body systems (e.g., immune, nervous, digestive, circulatory) and research domains (e.g., immunology, metabolomics, the gut microbiome, genomics, neurology). Despite sever...

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Autores principales:	Ravi Mathur, Megan U. Carnes, Alexander Harding, Amy Moore, Ian Thomas, Alex Giarrocco, Michael Long, Marcia Underwood, Christopher Townsend, Roman Ruiz-Esparza, Quinn Barnette, Linda Morris Brown, Matthew Schu
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Myalgic encephalomyelitis Chronic fatigue syndrome Data Sharing Portal Comprehensive Knowledge Archive Network (CKAN) Data integration Multi-omics Medicine R
Acceso en línea:	https://doaj.org/article/6e490685b54943498f499e9816fe4a08
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id	oai:doaj.org-article:6e490685b54943498f499e9816fe4a08
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spelling	oai:doaj.org-article:6e490685b54943498f499e9816fe4a082021-11-14T12:08:14ZmapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites10.1186/s12967-021-03127-31479-5876https://doaj.org/article/6e490685b54943498f499e9816fe4a082021-11-01T00:00:00Zhttps://doi.org/10.1186/s12967-021-03127-3https://doaj.org/toc/1479-5876Abstract Background Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease which involves multiple body systems (e.g., immune, nervous, digestive, circulatory) and research domains (e.g., immunology, metabolomics, the gut microbiome, genomics, neurology). Despite several decades of research, there are no established ME/CFS biomarkers available to diagnose and treat ME/CFS. Sharing data and integrating findings across these domains is essential to advance understanding of this complex disease by revealing diagnostic biomarkers and facilitating discovery of novel effective therapies. Methods The National Institutes of Health funded the development of a data sharing portal to support collaborative efforts among an initial group of three funded research centers. This was subsequently expanded to include the global ME/CFS research community. Using the open-source comprehensive knowledge archive network (CKAN) framework as the base, the ME/CFS Data Management and Coordinating Center developed an online portal with metadata collection, smart search capabilities, and domain-agnostic data integration to support data findability and reusability while reducing the barriers to sustainable data sharing. Results We designed the mapMECFS data portal to facilitate data sharing and integration by allowing ME/CFS researchers to browse, share, compare, and download molecular datasets from within one data repository. At the time of publication, mapMECFS contains data curated from public data repositories, peer-reviewed publications, and current ME/CFS Research Network members. Conclusions mapMECFS is a disease-specific data portal to improve data sharing and collaboration among ME/CFS researchers around the world. mapMECFS is accessible to the broader research community with registration. Further development is ongoing to include novel systems biology and data integration methods.Ravi MathurMegan U. CarnesAlexander HardingAmy MooreIan ThomasAlex GiarroccoMichael LongMarcia UnderwoodChristopher TownsendRoman Ruiz-EsparzaQuinn BarnetteLinda Morris BrownMatthew SchuBMCarticleMyalgic encephalomyelitisChronic fatigue syndromeData Sharing PortalComprehensive Knowledge Archive Network (CKAN)Data integrationMulti-omicsMedicineRENJournal of Translational Medicine, Vol 19, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Myalgic encephalomyelitis Chronic fatigue syndrome Data Sharing Portal Comprehensive Knowledge Archive Network (CKAN) Data integration Multi-omics Medicine R
spellingShingle	Myalgic encephalomyelitis Chronic fatigue syndrome Data Sharing Portal Comprehensive Knowledge Archive Network (CKAN) Data integration Multi-omics Medicine R Ravi Mathur Megan U. Carnes Alexander Harding Amy Moore Ian Thomas Alex Giarrocco Michael Long Marcia Underwood Christopher Townsend Roman Ruiz-Esparza Quinn Barnette Linda Morris Brown Matthew Schu mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites
description	Abstract Background Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease which involves multiple body systems (e.g., immune, nervous, digestive, circulatory) and research domains (e.g., immunology, metabolomics, the gut microbiome, genomics, neurology). Despite several decades of research, there are no established ME/CFS biomarkers available to diagnose and treat ME/CFS. Sharing data and integrating findings across these domains is essential to advance understanding of this complex disease by revealing diagnostic biomarkers and facilitating discovery of novel effective therapies. Methods The National Institutes of Health funded the development of a data sharing portal to support collaborative efforts among an initial group of three funded research centers. This was subsequently expanded to include the global ME/CFS research community. Using the open-source comprehensive knowledge archive network (CKAN) framework as the base, the ME/CFS Data Management and Coordinating Center developed an online portal with metadata collection, smart search capabilities, and domain-agnostic data integration to support data findability and reusability while reducing the barriers to sustainable data sharing. Results We designed the mapMECFS data portal to facilitate data sharing and integration by allowing ME/CFS researchers to browse, share, compare, and download molecular datasets from within one data repository. At the time of publication, mapMECFS contains data curated from public data repositories, peer-reviewed publications, and current ME/CFS Research Network members. Conclusions mapMECFS is a disease-specific data portal to improve data sharing and collaboration among ME/CFS researchers around the world. mapMECFS is accessible to the broader research community with registration. Further development is ongoing to include novel systems biology and data integration methods.
format	article
author	Ravi Mathur Megan U. Carnes Alexander Harding Amy Moore Ian Thomas Alex Giarrocco Michael Long Marcia Underwood Christopher Townsend Roman Ruiz-Esparza Quinn Barnette Linda Morris Brown Matthew Schu
author_facet	Ravi Mathur Megan U. Carnes Alexander Harding Amy Moore Ian Thomas Alex Giarrocco Michael Long Marcia Underwood Christopher Townsend Roman Ruiz-Esparza Quinn Barnette Linda Morris Brown Matthew Schu
author_sort	Ravi Mathur
title	mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites
title_short	mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites
title_full	mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites
title_fullStr	mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites
title_full_unstemmed	mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites
title_sort	mapmecfs: a portal to enhance data discovery across biological disciplines and collaborative sites
publisher	BMC
publishDate	2021
url	https://doaj.org/article/6e490685b54943498f499e9816fe4a08
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mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites

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