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Towards a unified data infrastructure to support European and global microbiome research: a call to action

https://doi.org/10.1111/1462-2920.15323

Ryan, Matthew J.; Schloter, Michael; Berg, Gabriele; Kinkel, Linda L.; Eversole, Kellye; Macklin, James A.; Rybakova, Daria; Sessitsch, Angela (January 2021, Environmental Microbiology)

Summary High‐quality microbiome research relies on the integrity, management and quality of supporting data. Currently biobanks and culture collections have different formats and approaches to data management. This necessitates a standard data format to underpin research, particularly in line with the FAIR data standards of findability, accessibility, interoperability and reusability. We address the importance of a unified, coordinated approach that ensures compatibility of data between that needed by biobanks and culture collections, but also to ensure linkage between bioinformatic databases and the wider research community.
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Microbiome Metadata Standards: Report of the National Microbiome Data Collaborative’s Workshop and Follow-On Activities

https://doi.org/10.1128/mSystems.01194-20

Vangay, Pajau; Burgin, Josephine; Johnston, Anjanette; Beck, Kristen L.; Berrios, Daniel C.; Blumberg, Kai; Canon, Shane; Chain, Patrick; Chandonia, John-Marc; Christianson, Danielle; et al (February 2021, mSystems)
Bucci, Vanni (Ed.)
Microbiome samples are inherently defined by the environment in which they are found. Therefore, data that provide context and enable interpretation of measurements produced from biological samples, often referred to as metadata, are critical.
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Broadening Participation in Scientific Conferences during the Era of Social Distancing

https://doi.org/10.1016/j.tim.2020.08.004

Fulcher, Michael R.; Bolton, Marian L.; Millican, Michael D.; Michalska-Smith, Matthew J.; Dundore-Arias, José Pablo; Handelsman, Jo; Klassen, Jonathan L.; Milligan-Myhre, Kathryn C.; Shade, Ashley; Wolfe, Benjamin E.; et al (September 2020, Trends in Microbiology)
null (Ed.)
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