| Home > Publications Database > EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research. |
| Journal Article (Editorial) | DZNE-2020-05408 |
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2017
Nature Publishing Group
London [u.a.]
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Please use a persistent id in citations: doi:10.1038/nmeth.4185
Abstract: We argue that the field of extracellular vesicle (EV) biology needs more transparent reporting to facilitate interpretation and replication of experiments. To achieve this, we describe EV-TRACK, a crowdsourcing knowledgebase (http://evtrack.org) that centralizes EV biology and methodology with the goal of stimulating authors, reviewers, editors and funders to put experimental guidelines into practice.
Keyword(s): Biomedical Research (MeSH) ; Databases, Bibliographic (MeSH) ; Extracellular Vesicles: physiology (MeSH) ; Internationality (MeSH)
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