Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2632
Title: romoting high-quality data in OBIS: Insights from the OBIS Data Quality Assessment and Enhancement Project Team
Authors: Gan, Y
Perez, R
Provoost, P
Benson, A
Brichtova, A
Lawrence, E
Nicholls, J
Konjarla, J
Sarafidou, G
Saeed, H
Lear, D
Penzlin, A
Wambiji, N
Appeltans, W
Keywords: High-Quality Data
OBIS
Data Quality Assessment
Enhancement Project Team
Issue Date: 2023
Citation: Gan, Y.-M.; Perez Perez, R.; Provoost, P.; Benson, A.; Peralta Brichtova, A.C.; Lawrence, E.; Nicholls, J.; Konjarla, J.; Sarafidou, G.; Saeedi, H.; Lear, D.; Penzlin, A.; Wambiji, N.; Appeltans, W. (2023). Promoting high-quality data in OBIS: Insights from the OBIS Data Quality Assessment and Enhancement Project Team. Biodiversity Information Science and Standards 7: e112018
Abstract: The Ocean Biodiversity Information System (OBIS) (Klein et al. 2019) is a global database of marine biodiversity and associated environmental data, which provides critical information to researchers and policymakers worldwide. Ensuring the accuracy and consistency of the data in OBIS is essential for its usefulness and value, not only to the scientific community but also to the science-policy interface. The OBIS Data Quality Assessment and Enhancement Project Team (QCPT), formed in 2019 by the OBIS steering group, aims to assess and enhance data quality. It has been working on three categories of activities for this purpose:
URI: http://hdl.handle.net/123456789/2632
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