{"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\/it\/academic-data\/","title":{"rendered":"Dati accademici: Sono necessari esperti freelance di analisi dei dati per gestirli?"},"content":{"rendered":"

Ricerca<\/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

Tuttavia, non tutte le collaborazioni hanno successo e gli errori accadono. David Broockmann, un esperto di scienze politiche che all'epoca era uno studente laureato della UC Berkeley, ha sottolineato le irregolarit\u00e0 di un altro documento di scienze politiche. Tali incidenti causano imbarazzo e feriscono la credibilit\u00e0 duramente guadagnata nel mondo accademico. Si potrebbero evitare questi incidenti?<\/p>\n

\"analisi<\/a><\/p>\n

Diverse soluzioni possono essere proposte per garantire dati di qualit\u00e0. Assumere un esperto freelance per fornire consulenze relative alla scienza dei dati pu\u00f2 essere una delle soluzioni. Qui discutiamo le tre principali ragioni per assumere un dottore freelance o un post-doc per progetti relativi alla scienza dei dati:<\/p>\n

    \n
  1. a) Flessibilit\u00e0:<\/em> A esperto di dati freelance<\/a> possono essere assunti come e quando necessario; inoltre, i compiti che richiedono il contributo di un esperto esterno freelance possono variare molto. Per esempio, un gruppo di ricerca pu\u00f2 aver bisogno di un esperto per un controllo incrociato dei risultati dell'analisi dei dati, mentre altri possono aver bisogno di uno scienziato dei dati per gestire una parte del progetto. Un ricercatore principale (PI) con un budget limitato pu\u00f2 beneficiare della flessibilit\u00e0 di assumere un esperto freelance.<\/li>\n
  2. b) Competenza:<\/em> Gli accademici di oggi hanno a disposizione pi\u00f9 dati che in passato. Questa disponibilit\u00e0 di dati ha portato a nuovi metodi di analisi dei dati. Dal momento che molte universit\u00e0 sono in un \"blocco delle assunzioni\", gli esperti intramurari di scienza dei dati per gestire questi grandi volumi di dati potrebbero non essere facilmente disponibili. Se disponibili, questi esperti universitari potrebbero essere sommersi da progetti. L'assunzione di un esperto esterno garantir\u00e0 che i progetti siano gestiti senza problemi e producano in tempo le pubblicazioni tanto necessarie.<\/li>\n
  3. c) Gestione del tempo:<\/em> La maggior parte delle facolt\u00e0 sono in corsa contro il tempo e devono sfornare pubblicazioni di qualit\u00e0 in un lasso di tempo limitato. \"Pubblicare o perire\" \u00e8 il mantra e perire non \u00e8 un'opzione. Un esperto freelance pu\u00f2 aiutare le facolt\u00e0 e i loro gruppi di ricerca ad essere produttivi in breve tempo.<\/li>\n<\/ol>\n

    La ricerca accademica sta diventando pi\u00f9 collaborativa<\/a> e negli ultimi anni; recentemente sono state avviate pi\u00f9 iniziative di condivisione dei dati negli Stati Uniti e anche nell'UE. Per esempio, nel campo della ricerca genetica, in particolare con il sequenziamento di prossima generazione, l'analisi dei 'big data' pu\u00f2 aiutarci a combattere disturbi come il cancro, il diabete e i disturbi neurologici. Inoltre, l'analisi dei 'big data' dai social media o dai dispositivi indossabili sta fornendo intuizioni su varie questioni sociali, economiche, mediche e comportamentali. Non \u00e8 una sorpresa che i ricercatori accademici siano attratti da questi 'big data'. Con la disponibilit\u00e0 di pi\u00f9 dati, si pu\u00f2 rispondere a pi\u00f9 domande di ricerca. Tuttavia, il mondo accademico potrebbe trovarsi di fronte a una carenza di esperti di scienza dei dati qualificati. Un esperto freelance pu\u00f2 condividere il suo fardello.<\/p>","protected":false},"excerpt":{"rendered":"

    Research 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. However, not all collaborations succeed and mistakes happen. David Broockmann, a<\/p>\n

    Per saperne di pi\u00f9<\/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\/it\/academic-data\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\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. 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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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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