{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T19:12:50Z","timestamp":1740165170794,"version":"3.37.3"},"reference-count":42,"publisher":"Universidade Estadual de Londrina","issue":"2","license":[{"start":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T00:00:00Z","timestamp":1593648000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Inf.Inf."],"abstract":"<jats:p>Introdu\u00e7\u00e3o: no contexto Big Data, surge, como necessidade urgente, a aplica\u00e7\u00e3o de direitos individuais e empresariais e de normas regulat\u00f3rias que resguardem a privacidade, a imparcialidade, a precis\u00e3o e a transpar\u00eancia. Nesse cen\u00e1rio, a Responsible Data Science desponta como uma iniciativa que tem como base as diretrizes FACT, que correspondem \u00e0 ado\u00e7\u00e3o de quatro princ\u00edpios: imparcialidade, precis\u00e3o, confidencialidade e transpar\u00eancia. Objetivo: abordar alternativas que podem assegurar a aplica\u00e7\u00e3o das diretrizes FACT. Metodologia: foi desenvolvida investiga\u00e7\u00e3o explorat\u00f3ria e descritiva com abordagem qualitativa.\u00a0 Foram realizadas pesquisas nas bases de dados bibliogr\u00e1ficas Web of Science, Scopus e pelo motor de busca Scholar Google com a utiliza\u00e7\u00e3o dos termos \u201cResponsible Data Science\u201d, \u201cFairness, Accuracy, Confidentiality, Transparency + Data Science\u201d, FACT e FAT relacionados com Data Science. Resultados: a Responsible Data Science desponta como uma iniciativa que tem como base as diretrizes FACT, que correspondem \u00e0 ado\u00e7\u00e3o dos princ\u00edpios: imparcialidade, precis\u00e3o, confidencialidade e transpar\u00eancia. Para a implementa\u00e7\u00e3o dessas diretrizes, deve-se considerar o uso de t\u00e9cnicas e abordagens que est\u00e3o sendo desenvolvidas pela Green Data Science.\u00a0 \u00a0Conclus\u00f5es: concluiu-se que a Green Data Science e as diretrizes FACT contribuem significativamente para a salvaguarda dos direitos individuais, n\u00e3o sendo necess\u00e1rio recorrer a medidas que impe\u00e7am o acesso e a reutiliza\u00e7\u00e3o de dados.\u00a0 Os desafios para implementar as diretrizes FACT requerem estudos, condi\u00e7\u00e3o sine qua non para que as ferramentas para an\u00e1lise e dissemina\u00e7\u00e3o dos dados sejam desenvolvidas ainda na fase de concep\u00e7\u00e3o de metodologias.<\/jats:p>","DOI":"10.5433\/1981-8920.2020v25n2p26","type":"journal-article","created":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T16:45:06Z","timestamp":1594053906000},"page":"26","source":"Crossref","is-referenced-by-count":1,"title":["Ci\u00eancia respons\u00e1vel dos dados: imparcialidade, precis\u00e3o, confidencialidade, e transpar\u00eancia dos dados"],"prefix":"10.5433","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4055-5882","authenticated-orcid":false,"given":"Morgana Carneiro","family":"Andrade","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5480-4106","authenticated-orcid":false,"given":"Paula Regina","family":"Gon\u00e7alez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4313-2727","authenticated-orcid":false,"given":"Decio Wey","family":"Berti Junior","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3525-0619","authenticated-orcid":false,"given":"Ana Alice","family":"Baptista","sequence":"additional","affiliation":[]},{"given":"Caio Saraiva","family":"Coneglian","sequence":"additional","affiliation":[]}],"member":"3555","published-online":{"date-parts":[[2020,7,2]]},"reference":[{"key":"ref0","unstructured":"AIMS. 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