https://www.socictopen.socict.org/files/original/0f9aa299625f53706bfb972550f8d177.pdf 120f5afba9b4d780d82939614dacaec5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource FIFA World Cup and climate change: correlation is not causation. [Copa del Mundo FIFA y cambio climático: correlación no implica causalidad]. Creator An entity primarily responsible for making the resource Aurelio Tobías, Martí Casals, Javier Peña, Cristian Tebé Description An account of the resource Sports analytics is defined as the process that identifies and acquires knowledge and insight about players and teams’ performances. To do so, analysts use a wide variety of data sources coming from matches and individual players’ performances (O'Donoghue & Holmes 2014; Jayal, McRobert, Oatley & O’Donoghue, 2018). Nowadays, detailed data from different nature including technical skills, individual physiological performances, team formations, or injuries are analysed on a daily basis by the analytics departments belonging to sports clubs and professional franchises. Even private companies like STATS or OPTA generate important revenues offering their movement tracking values and advanced metrics to media and fans. In the emerging field of Sports Analytics, as in many others, analysts must be aware of spurious correlations. These can come up due to the size (not nature) of data, a common-causal variable or just due to serendipity. For this reason, we always must keep in mind the lessons of the statistician Stephen John Senn and his sharp quote on the matter: “Statistics is not just about merely warning that correlation is not causation. Sometimes correlation isn’t even correlation”. Thus, we will explain an example of how climate change can be affecting, or not, on the FIFA World Cup performance statistics. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource Causality, analysis, correlation, education, football, performance, research, sports analytics, statistics Identifier An unambiguous reference to the resource within a given context 10.5232/ricyde2019.057ed Source A related resource from which the described resource is derived Revista Internacional de Ciencias del Deporte Publisher An entity responsible for making the resource available Ramón Cantó Alcaraz Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Geography. Anthropology. Recreation, Recreation. Leisure, Sports Relation A related resource <a href="http://www.cafyd.com/REVISTA/057ed.pdf" target="_blank" rel="noreferrer noopener">http://www.cafyd.com/REVISTA/057ed.pdf</a>