{"id":1272,"date":"2015-11-30T11:36:56","date_gmt":"2015-11-30T11:36:56","guid":{"rendered":"http:\/\/localhost\/blog\/?p=1272"},"modified":"2017-04-10T09:29:35","modified_gmt":"2017-04-10T09:29:35","slug":"academic-data","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/pt\/academic-data\/","title":{"rendered":"Dados acad\u00eamicos: Os especialistas em an\u00e1lise de dados s\u00e3o necess\u00e1rios para trat\u00e1-los?"},"content":{"rendered":"

Pesquisa<\/a> in universities often benefits from the structured environment of academia. Unlike in small business or industry settings, intra-mural (within university) collaborations allow various experts to contribute to the research. Generally, academia does not suffer from a shortage of expertise due to collaborative efforts.<\/p>\n

No entanto, nem todas as colabora\u00e7\u00f5es s\u00e3o bem sucedidas e os erros acontecem. David Broockmann, um especialista em ci\u00eancia pol\u00edtica que na \u00e9poca era estudante de p\u00f3s-gradua\u00e7\u00e3o da UC Berkeley, apontou irregularidades de outro artigo de ci\u00eancia pol\u00edtica. Tais incid\u00eancias causam embara\u00e7os e prejudicam a credibilidade duramente conquistada na academia. Poderiam estas incid\u00eancias ser evitadas?<\/p>\n

\"an\u00e1lise<\/a><\/p>\n

V\u00e1rias solu\u00e7\u00f5es podem ser propostas para garantir a qualidade dos dados. A contrata\u00e7\u00e3o de um especialista freelance para fornecer consultas relacionadas \u00e0 ci\u00eancia dos dados pode ser uma das solu\u00e7\u00f5es. Aqui discutimos as tr\u00eas principais raz\u00f5es para a contrata\u00e7\u00e3o de um doutorado ou p\u00f3s-doutorado freelance para projetos relacionados \u00e0 ci\u00eancia dos dados:<\/p>\n

    \n
  1. a) Flexibilidade:<\/em> A especialista em dados freelance<\/a> podem ser contratadas quando necess\u00e1rio; al\u00e9m disso, as tarefas que requerem a contribui\u00e7\u00e3o de um especialista externo freelancer podem variar muito. Por exemplo, um grupo de pesquisa pode precisar de um especialista para verificar suas descobertas a partir da an\u00e1lise de dados; enquanto outros podem precisar de um cientista de dados para executar uma parte do projeto. Um investigador principal (PI) com um or\u00e7amento limitado pode se beneficiar da flexibilidade de contratar um especialista freelancer.<\/li>\n
  2. b) Especializa\u00e7\u00e3o:<\/em> Mais dados est\u00e3o dispon\u00edveis para os acad\u00eamicos de hoje do que no passado. Esta disponibilidade de dados tem levado a novos m\u00e9todos de an\u00e1lise de dados. Uma vez que muitas universidades est\u00e3o em \"congelamento de contrata\u00e7\u00f5es\", especialistas em ci\u00eancias de dados intramuros para lidar com estes grandes volumes de dados podem n\u00e3o estar facilmente dispon\u00edveis. Se dispon\u00edveis, estes especialistas universit\u00e1rios podem estar sobrecarregados com projetos. A contrata\u00e7\u00e3o de um especialista externo garantir\u00e1 que os projetos sejam executados sem problemas e produzir\u00e3o publica\u00e7\u00f5es muito necess\u00e1rias em tempo h\u00e1bil.<\/li>\n
  3. c) Gerenciamento de tempo:<\/em> A maioria das faculdades est\u00e1 correndo contra o tempo e precisa produzir publica\u00e7\u00f5es de qualidade dentro de um per\u00edodo de tempo limitado. \"Publicar ou perecer\" \u00e9 o mantra e perecer n\u00e3o \u00e9 uma op\u00e7\u00e3o. Um especialista aut\u00f4nomo pode ajudar as faculdades e seus grupos de pesquisa a serem produtivos dentro de pouco tempo.<\/li>\n<\/ol>\n

    A pesquisa acad\u00eamica est\u00e1 ficando mais colaborativa<\/a> e nos \u00faltimos anos; recentemente, mais iniciativas de compartilhamento de dados foram iniciadas nos EUA, e tamb\u00e9m na UE. Por exemplo, no campo da pesquisa gen\u00e9tica, em particular com o seq\u00fcenciamento da pr\u00f3xima gera\u00e7\u00e3o, a an\u00e1lise de \"grandes dados\" pode nos ajudar a combater dist\u00farbios como o c\u00e2ncer, diabetes e dist\u00farbios neurol\u00f3gicos. Al\u00e9m disso, a an\u00e1lise de 'grandes dados' da m\u00eddia social ou de dispositivos vest\u00edveis est\u00e1 nos fornecendo insights sobre v\u00e1rias quest\u00f5es sociais, econ\u00f4micas, m\u00e9dicas e comportamentais. N\u00e3o \u00e9 uma surpresa que pesquisadores acad\u00eamicos sejam atra\u00eddos por esses 'grandes dados'. Com a disponibilidade de mais dados, mais perguntas de pesquisa podem ser respondidas. Entretanto, o mundo acad\u00eamico pode enfrentar uma escassez de especialistas qualificados em ci\u00eancia de dados. Um especialista freelance pode compartilhar seu fardo.<\/p>","protected":false},"excerpt":{"rendered":"

    A pesquisa nas universidades muitas vezes se beneficia do ambiente estruturado da academia. Ao contr\u00e1rio das pequenas empresas ou da ind\u00fastria, as colabora\u00e7\u00f5es intra-muros (dentro da universidade) permitem que v\u00e1rios especialistas contribuam para a pesquisa. Geralmente, o meio acad\u00eamico n\u00e3o sofre com a falta de especializa\u00e7\u00e3o devido aos esfor\u00e7os de colabora\u00e7\u00e3o. Entretanto, nem todas as colabora\u00e7\u00f5es s\u00e3o bem sucedidas e os erros acontecem. David Broockmann, um<\/p>\n

    Leia mais<\/a><\/div>","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[185,179,183,184,182,174],"acf":[],"yoast_head":"\nAcademic Data: Are data analysis freelance experts necessary to handle it? - The Kolabtree Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/academic-data\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Academic Data: Are data analysis freelance experts necessary to handle it?\" \/>\n<meta property=\"og:description\" content=\"Research in universities often benefits from the structured environment of academia. 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Unlike in small business or industry settings, intra-mural (within university) collaborations allow various experts to contribute to the research. Generally, academia does not suffer from a shortage of expertise due to collaborative efforts. However, not all collaborations succeed and mistakes happen. 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