{"refrec":{"BRefID":294607,"RR":"<b>Bosch , S.; Provoost, P.; Appeltans, W.</b> (2018). Fit for purpose? Identifying and resolving quality issues with marine biodiversity datasets in R. <i>PeerJ 6</i>: e26776v1. <a href=\"https://doi.org/10.7287/peerj.preprints.26776v1\" target=\"_blank\">https://doi.org/10.7287/peerj.preprints.26776v1</a>","BEntID":286674,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>PeerJ 6</i>: e26776v1. <a href=\"https://doi.org/10.7287/peerj.preprints.26776v1\" target=\"_blank\">https://doi.org/10.7287/peerj.preprints.26776v1</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Bosch , S.; Provoost, P.; Appeltans, W.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Bosch , S.; Provoost, P.; Appeltans, W.","Englishabstract":"Millions of marine species occurrences and abundances can be accessed through the Ocean Biogeographic Information System (OBIS), which are then often combined with data from additional sources such as GBIF, citizen science projects, scientific literature and personal communications. However, the quality of the available data is variable and it thus needs to be scrutinized in order to get a dataset that is fit for purpose.To help this process, as well as increase the quality of the data before they are published in OBIS, we developed the obistools R package. It allows users to identify and resolve common data errors such as taxonomic, spatial, temporal and measurement issues. The package combines and builds on existing services made available by the World Register of Marine Species as well as some new OBIS home-made services. The interactive interface provides a series of strict and fuzzy quality checks ranging from longitude/latitude checks to environmental outlier detection. 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