Abstract
Abstract Many biological collections databases feature data quality problems. On the existing computational resources, we present an import tool and data validation. The program applies filters to data submitted through a spreadsheet at the time of data import, streamlining the error-checking process. The validations presented were divided into three categories according to the taxonomic, geographical and general specimen collection data. Its implementation eliminated the errors in the data entry of new vouchers in the Herbarium of the Botanical Garden of Rio de Janeiro.
Highlights
On the challenges of the protection of natural resources, the generation of knowledge from large databases of biodiversity has attracted the attention of the whole society
Stands out among them the Global Biodiversity Information Facility-GBIF (GBIF 2010) that serves as an aggregator of data of herbaria around the world
Despite the significant volume of data and considering only the flora data available at GBIF, even in a superficial analysis, one can see that there is a big difference between the number of flora and fauna records and quality of spatial data that needs to be improved, beyond the visible low data quality
Summary
On the challenges of the protection of natural resources, the generation of knowledge from large databases of biodiversity has attracted the attention of the whole society. These data are essential for taxonomic research and conservation actions, among others (Donaldson 2009; Lavoie 2013; Wen et al 2015), providing relevant and useful information for preservation policies. In the case of geographical coordinates, should be considered that a significant number of collections is old and the collector did not have sophisticated equipment, such as GPS
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