Standardizing metadata and taxonomic identification in metabarcoding studies

TY - JOUR

T1 - Standardizing metadata and taxonomic identification in metabarcoding studies

AU - Tedersoo, Leho

AU - Ramirez, Kelly

AU - Nilsson, R

AU - Kaljuvee, Aivi

AU - Koljalg, Urmas

AU - Abarenkov, Kessy

N1 - 6025, TE; Data archiving: no data used

PY - 2015

Y1 - 2015

N2 - High-throughput sequencing-based metabarcoding studies produce vast amounts of ecological data, but a lack of consensus on standardization of metadata and how to refer to the species recovered severely hampers reanalysis and comparisons among studies. Here we propose an automated workflow covering data submission, compression, storage and public access to allow easy data retrieval and inter-study communication. Such standardized and readily accessible datasets facilitate data management, taxonomic comparisons and compilation of global metastudies.

AB - High-throughput sequencing-based metabarcoding studies produce vast amounts of ecological data, but a lack of consensus on standardization of metadata and how to refer to the species recovered severely hampers reanalysis and comparisons among studies. Here we propose an automated workflow covering data submission, compression, storage and public access to allow easy data retrieval and inter-study communication. Such standardized and readily accessible datasets facilitate data management, taxonomic comparisons and compilation of global metastudies.

KW - international

U2 - 10.1186/s13742-015-0074-5

DO - 10.1186/s13742-015-0074-5

M3 - Article

SN - 2047-217X

VL - 4

SP - 34

JO - GigaScience

JF - GigaScience

IS - 1

ER -