{"refrec":{"BRefID":438030,"RR":"<b>Soni, P.; Hendy, A.J.W.; Bottjer, D.J.</b> (2026). ‘EcoCleanR': enhancing data quality of biogeographic ranges with application for marine invertebrates. <i>Ecography 2026(3)</i>: e08203. <a href=\"https://dx.doi.org/10.1002/ecog.08203\" target=\"_blank\">https://dx.doi.org/10.1002/ecog.08203</a>","BEntID":435861,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Ecography 2026(3)</i>: e08203. <a href=\"https://dx.doi.org/10.1002/ecog.08203\" target=\"_blank\">https://dx.doi.org/10.1002/ecog.08203</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Soni, P.; Hendy, A.J.W.; Bottjer, D.J.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Soni, P.; Hendy, A.J.W.; Bottjer, D.J.","Englishabstract":"Published distribution data, while invaluable for understanding species' biogeography, often suffer from limitations such as dated and static representations of ranges, a bias toward latitudinal information, and lack of resolution in sampling frequency and variation in abundance throughout a species' distribution. Extensive open-source biodiversity data now allow us to construct biogeographic ranges with more modern observations, which can be useful in conservation, evolution, and ecological studies. However, data quality remains a persistent challenge, hampering data reliability and usability. We introduce ‘EcoCleanR', an R package that integrates existing tools with new functionalities to address data integration and quality assessment through a systematic, step-by-step approach for marine occurrence data. This package enhances the process of identifying and resolving common issues in biodiversity data, including taxonomy and georeferencing errors. 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