Quality and usability challenges of global marine biodiversity databases: An example for marine mammal data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82228" target="_blank" >RIV/60460709:41330/20:82228 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1574954120300017" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1574954120300017</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ecoinf.2020.101051" target="_blank" >10.1016/j.ecoinf.2020.101051</a>
Alternative languages
Result language
angličtina
Original language name
Quality and usability challenges of global marine biodiversity databases: An example for marine mammal data
Original language description
Knowing spatial and temporal patterns of species distribution is paramount to support marine species persistence. While datasets provided by global aggregators are increasingly rich and useful, they suffer from various types of data quality issues that can impact their usage. Using marine mammals as an example, we assessed the quality and information gaps in species distribution data from three major databases: the Global Biodiversity Information Facility (GBIF), the Ocean Biogeographic Information System (OBIS) and the International Union for Conservation of Nature (IUCN) range maps. We analysed marine mammal records from 2015 (n = 1,396,581) and from 2019 (n = 1,904,968), for six types of common quality or usability issues. Results for both OBIS and GBIF indicate that 35 to 55 (depending on the respective database and year) of individual databases records are potential duplicates, fall on land, or miss a data collection date. The positional accuracy of data records varies greatly due to varying pre
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ecological Informatics
ISSN
1574-9541
e-ISSN
1878-0512
Volume of the periodical
2020
Issue of the periodical within the volume
56
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
1-10
UT code for WoS article
000519656700007
EID of the result in the Scopus database
2-s2.0-85077917436