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It is an important field because nowadays different rankings use key indicators for university rankings and universities themselves use them as Key Performance Indicators (KPI). The purpose of this work is to propose a semantic modeling of scientometric indicators using the ontology Statistical Data and Metadata Exchange (SDMX). We develop a case study at Tecnologico de Monterrey following the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. We evaluate the benefits of storing and querying scientometric indicators using linked data as a mean for providing flexible and quick access knowledge representation that supports indicator discovery, enquiring and composition. The semi-automatic generation and further storage of this linked data in the Neo4j graph database enabled an updatable and quick access model.<\/jats:p>","DOI":"10.1186\/s40537-022-00562-x","type":"journal-article","created":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T13:10:05Z","timestamp":1643029805000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Modeling scientometric indicators using a statistical data ontology"],"prefix":"10.1186","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7362-7694","authenticated-orcid":false,"given":"Victor","family":"Lopez-Rodriguez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hector G.","family":"Ceballos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,24]]},"reference":[{"key":"562_CR1","doi-asserted-by":"publisher","first-page":"124353","DOI":"10.1016\/j.jclepro.2020.124353","volume":"280","author":"WP Zakka","year":"2021","unstructured":"Zakka WP, Lim NHAS, Khun MC. 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