{"id":2058,"date":"2017-08-02T20:02:00","date_gmt":"2017-08-02T20:02:00","guid":{"rendered":"https:\/\/www.science-metrix.com\/?p=2058"},"modified":"2024-04-26T16:26:35","modified_gmt":"2024-04-26T16:26:35","slug":"data-mining-knowledge-and-technology-flows-in-priority-domains-within-the-private-sector-and-between-the-public-and-private-sectors-final-report","status":"publish","type":"post","link":"https:\/\/science-metrix.com\/fr\/data-mining-knowledge-and-technology-flows-in-priority-domains-within-the-private-sector-and-between-the-public-and-private-sectors-final-report\/","title":{"rendered":"Exploration de donn\u00e9es : Circulation des connaissances et de la technologie dans les domaines prioritaires du secteur priv\u00e9 et entre les secteurs priv\u00e9 et public \u2014 Rapport final"},"content":{"rendered":"
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Exploration de donn\u00e9es : Circulation des connaissances et de la technologie dans les domaines prioritaires du secteur priv\u00e9 et entre les secteurs priv\u00e9 et public \u2014 Rapport final<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Client : European Commission, Directorate-General for Research & Innovation<\/p>

Publi\u00e9 : ao\u00fbt 2017<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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La r\u00e9volution des m\u00e9gadonn\u00e9es a incit\u00e9 les secteurs public et priv\u00e9 \u00e0 devenir proactifs quant au d\u00e9veloppement de techniques pour exploiter de nouvelles sources de donn\u00e9es ainsi que des donn\u00e9es administratives auparavant n\u00e9glig\u00e9es. Sur le plan gouvernemental, une transition globale est en cours visant \u00e0 donner une plus grande importance aux \u00e9l\u00e9ments probants dans le processus de prises de d\u00e9cisions politiques. Parall\u00e8lement, les processus de collecte, d\u2019analyse et d\u2019interpr\u00e9tation des \u00e9l\u00e9ments probants sont marqu\u00e9s par de profonds changements en raison de l\u2019int\u00e9r\u00eat grandissant pour les techniques d\u2019exploration de donn\u00e9es et d\u2019analyse de m\u00e9gadonn\u00e9es, pour ne nommer que deux exemples principaux.<\/p>\n

C\u2019est dans ce contexte que Science-Metrix a entrepris une \u00e9tude de deux ans mandat\u00e9e par la Direction g\u00e9n\u00e9rale de la recherche et de l\u2019innovation (DG RTD) de la Commission europ\u00e9enne. Cette \u00e9tude, appel\u00e9e Data mining: Knowledge and technology flows in priority domains within the private sector and between the public and private sectors<\/em>, avait pour objectifs de<\/p>\n

    \n
  1. Documenter l\u2019usage, les meilleures pratiques, les avantages et les limitations des techniques d\u2019exploration de donn\u00e9es dans les secteurs priv\u00e9 et public ;<\/li>\n
  2. D\u00e9velopper un cadre m\u00e9thodologique, valid\u00e9 par diverses parties prenantes, pour les projets d\u2019exploration de donn\u00e9es dans un contexte de politiques de recherche et d\u2019innovation ;<\/li>\n
  3. Valider et am\u00e9liorer le cadre m\u00e9thodologique, d\u00e9velopper de nouvelles connaissances pertinentes \u00e0 l\u2019\u00e9laboration de politiques en recherche et innovation, et \u00e9valuer les avantages potentiels et les limitations que posent les techniques d\u2019exploration de donn\u00e9es pour extraire de telles informations, en appliquant le cadre \u00e0 six \u00e9tudes de cas portant sur des questions cl\u00e9s li\u00e9es aux politiques d\u2019innovation dans le secteur priv\u00e9 ;<\/li>\n
  4. Faire des recommandations (\u00e0 \u00eatre valid\u00e9es, en plus du cadre, par un atelier d\u2019experts) \u00e0 la Direction g\u00e9n\u00e9rale de la recherche et de l\u2019innovation (DG RTD), pour la guider dans l\u2019application future des techniques d\u2019exploration de donn\u00e9es.<\/li>\n<\/ol>

    <\/div>\n

    Cette \u00e9tude s\u2019est d\u00e9roul\u00e9e en deux phases, chacune s\u2019\u00e9tendant sur une p\u00e9riode d\u2019un an. La premi\u00e8re visait \u00e0 combler les deux premiers objectifs du projet et comprenait une revue de litt\u00e9rature ainsi que des entrevues men\u00e9es aupr\u00e8s d\u2019informateurs cl\u00e9s. Ces informations ont servi de fondement au d\u00e9veloppement d\u2019un cadre m\u00e9thodologique novateur pour guider les projets d\u2019exploration de donn\u00e9es visant \u00e0 orienter les politiques en recherche et innovation. Ce cadre a subs\u00e9quemment \u00e9t\u00e9 valid\u00e9 par un atelier d\u2019experts dans le domaine de l\u2019exploration de donn\u00e9es, ce qui a conclu la premi\u00e8re phase du projet.<\/p>\n

    Les \u00e9tapes entreprises lors de la deuxi\u00e8me phase du projet ont couvert les deux derniers objectifs list\u00e9s ci-dessus. L'\u00e9tape la plus importante de cette partie du projet consistait en l'application de ce cadre \u00e0 six \u00e9tudes de cas :<\/p>\n

      \n
    1. Recherche et innovation multidisciplinaires;<\/li>\n
    2. Mod\u00e8les de coop\u00e9ration R&I entre les secteurs public et priv\u00e9; <\/span><\/li>\n
    3. Disponibilit\u00e9 en acc\u00e8s libre des publications scientifiques;<\/li>\n
    4. Utilisation et impact des Fonds d'investissement et de structure europ\u00e9ens pour les activit\u00e9s de R&I dans les r\u00e9gions de l'UE;<\/li>\n
    5. Entreprises \u00e0 croissance rapide;<\/li>\n
    6. Utilisation et impacts des incitations fiscales pour la R&I par les \u00c9tats membres.<\/li>\n<\/ol>\n

      <\/div>\n
      Ces \u00e9tudes de cas avaient pour intention <\/span>de d\u00e9river des r\u00e9sultats pertinents en mati\u00e8re de politique et bas\u00e9s sur le processus qui seraient essentiels pour formuler des recommandations \u00e0 la DG RTD pour leur mise en \u0153uvre potentielle des approches d'exploration de donn\u00e9es. Vers la fin de la deuxi\u00e8me phase du projet, ces recommandations, les r\u00e9sultats sur lesquels elles sont bas\u00e9es et une version r\u00e9vis\u00e9e du cadre ont de nouveau \u00e9t\u00e9 pr\u00e9sent\u00e9s \u00e0 un groupe d'experts en la mati\u00e8re. Leurs commentaires ont ensuite \u00e9t\u00e9 int\u00e9gr\u00e9s pour produire le rapport final pr\u00e9sentant le cadre.<\/span>
      <\/div>\n

      Lire le rapport.<\/a><\/p>\n

      Campbell, D., Tippett, C., Struck, B., Lefebvre, C., C\u00f4t\u00e9, G., St-Louis Lalonde, B., Ventimiglia, A., Roberge, G., & Archambault, \u00c9. (2017). Data Mining. Knowledge and technology flows in priority domains within the private sector and between the public and private sectors. Pr\u00e9par\u00e9 par Science-Metrix pour la Commission europ\u00e9enne. ISBN978-92-79-68029-8; DOI 10.2777\/089<\/p>\n

      Les demandes d'acc\u00e8s au rapport des \u00e9tudes de cas peuvent \u00eatre soumises par \u00e9crit \u00e0 info@science-metrix.com<\/a>, sous r\u00e9serve de l'approbation de la Commission europ\u00e9enne.<\/p>\n

      Campbell, D., Tippett, C., Struck, B., Lefebvre, C., C\u00f4t\u00e9, G., Archambault, \u00c9. (2017) Data Mining on Key Innovation Policy Issues for the Private Sector: Application Report. Pr\u00e9par\u00e9 par Science-Metrix pour la Commission europ\u00e9enne.<\/p>\n

      Image : iStock<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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      Client : La Commission europ\u00e9enne<\/p>","protected":false},"author":2,"featured_media":2061,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[8],"tags":[28,17,21],"class_list":["post-2058","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-reports","tag-data-mining","tag-european-commission","tag-tailored-study-design"],"yoast_head":"\nData mining: Knowledge and technology flows in priority domains within the private sector and between the public and private sectors \u2013 Final report - Science-Metrix<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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