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Currently, increasing accessibility to these data allows a cost-effective method for boosting knowledge about a country\u2019s biodiversity. For understudied countries where the lack of resources for conservation is more pronounced to resort to primary biodiversity data can be especially beneficial. Here, using a primary species occurrence dataset, we assessed and mapped Mozambique\u2019s knowledge gaps regarding terrestrial mammal species by identifying areas that are geographically distant and environmentally different from well-known sites. By comparing gaps from old and recent primary species occurrence data, we identified: (i) gaps of knowledge over time, (ii) the lesser-known taxa, and (iii) areas with potential for spatiotemporal studies. Our results show that\u00a0the inventory of Mozambique\u2019s mammal fauna is near-complete in less than 5% of the territory, with broad areas of the country poorly sampled or not sampled at all. The knowledge gap areas are mostly associated with two ecoregions. The provinces lacking documentation coincide with areas over-explored for natural resources, and many such sites may never be documented. It is our understanding that by prioritising the survey of the knowledge-gap areas will likely produce new records for the country and, continuing the study of the well-known regions will guarantee their potential use for spatiotemporal studies. The implemented approach to assess the knowledge gaps from primary species occurrence data proved to be a powerful strategy to generate information that is essential to species conservation and management plan. However, we are aware that the impact of digital and openly available data depends mostly on its completeness and accuracy, and thus we encourage action from the scientific community and government authorities to support and promote data mobilisation.<\/jats:p>","DOI":"10.1038\/s41598-019-54590-4","type":"journal-article","created":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T11:04:18Z","timestamp":1575371058000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Mapping Knowledge Gaps of Mozambique\u2019s Terrestrial Mammals"],"prefix":"10.1038","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1545-1512","authenticated-orcid":false,"given":"Isabel Queir\u00f3s","family":"Neves","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3876-958X","authenticated-orcid":false,"given":"Maria da Luz","family":"Mathias","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8249-9383","authenticated-orcid":false,"given":"Cristiane","family":"Bastos-Silveira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,3]]},"reference":[{"key":"54590_CR1","doi-asserted-by":"publisher","first-page":"2623","DOI":"10.1098\/rstb.2011.0117","volume":"366","author":"L Boitani","year":"2011","unstructured":"Boitani, L. et al. What spatial data do we need to develop global mammal conservation strategies? Philos. Trans. R. Soc. B Biol. Sci. 366, 2623\u201332 (2011).","journal-title":"Philos. Trans. R. Soc. B Biol. Sci."},{"key":"54590_CR2","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1111\/ddi.12136","volume":"20","author":"MS Sousa-Baena","year":"2014","unstructured":"Sousa-Baena, M. S., Garcia, L. C. & Peterson, A. T. Completeness of digital accessible knowledge of the plants of Brazil and priorities for survey and inventory. Divers. Distrib. 20, 369\u2013381 (2014).","journal-title":"Divers. Distrib."},{"key":"54590_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2481\/dsj.5.1","volume":"5","author":"J Gaikwad","year":"2006","unstructured":"Gaikwad, J. & Chavan, V. Open access and biodiversity conservation: challenges and potentials for the developing world. Data Sci. J. 5, 1\u201317 (2006).","journal-title":"Data Sci. J."},{"unstructured":"Sito\u00e9, A. 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