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Caroline Kermarrec, Olivia Zarcate, Nettra Pan,Tiphaine Gamba, Romain Lalanne, Charles Ruelle
GOVJAM 2013 PARIS : THÉMATIQUE
OPEN DATA & CROWD-SOURCING
UN DATA.GOUV.FR PLUS COLLABORATIF POUR
AMÉLIORER L’OUVERTURE DES DONNÉES ?
CONCEPT « DATA CHALLENGES »
PLATEFORME COLLABORATIVE POUR
RÉSOUDRE DES CHALLENGES
GRÂCE AUX DONNÉES OUVERTES
LE CONCEPT « DATA CHALLENGES »
•  IDENTIFIER UN PROBLÈME À RÉSOUDRE OU UN SYSTÈME À OPTIMISER SUR UN TERRITOIRE
(COMMUNE, INTERCOMMUNALITÉ, DÉPARTEMENT, …)
•  RASSEMBLER UNE COMMUNAUTÉ AUTOUR D’UN CHALLENGE À RELEVER
•  RASSEMBLER DES DONNÉES ISSUES DE PLUSIEURS PRODUCTEURS (PUBLICS, PRIVÉS,
CROWDSOURCING…)
•  ENRICHIR ET TRAVAILLER LES DONNÉES POUR LES REDIFFUSER EN OPEN DATA
•  IDENTIFIER ET COLLECTER LES DONNÉES MANQUANTES
•  TESTER DES HYPOTHÈSES : DATA VISUALISATIONS DE DONNÉES CROISÉES, BIG DATA,
ANALYSE DE DONNÉES, ETC.
•  PERMETTRE L’AIDE À LA DÉCISION POUR L’AMÉLIORATION DES POLITIQUES PUBLIQUES
« DATA CHALLENGES » : INNOVATIONS
•  MOTIVER LA PARTICIPATION CITOYENNE
•  ASSOCIER LES PARTIES PRENANTES LOCALES (ASSOCIATIONS, ENTREPRISES, COLLECTIVITÉS,
OPÉRATEURS…)
•  RASSEMBLER LES DONNÉES OPEN DATA DISPONIBLES
•  ENCOURAGER LA DIFFUSION DES DONNÉES RETRAVAILLÉES
•  PERMETTRE UNE BOUCLE DE RÉTROACTION AUX PRODUCTEURS DE DONNÉES
•  RENFORCER DES APPROCHES « DATA DRIVEN DECISIONS »
•  FACILITER LE CROISEMENT ET LA VISUALISATION DE DONNÉES
Data challenge
Data challenge
Data challenge
Data challenge
Data challenge
Data challenge

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Data challenge

  • 1. Caroline Kermarrec, Olivia Zarcate, Nettra Pan,Tiphaine Gamba, Romain Lalanne, Charles Ruelle
  • 2. GOVJAM 2013 PARIS : THÉMATIQUE OPEN DATA & CROWD-SOURCING UN DATA.GOUV.FR PLUS COLLABORATIF POUR AMÉLIORER L’OUVERTURE DES DONNÉES ?
  • 3. CONCEPT « DATA CHALLENGES » PLATEFORME COLLABORATIVE POUR RÉSOUDRE DES CHALLENGES GRÂCE AUX DONNÉES OUVERTES
  • 4. LE CONCEPT « DATA CHALLENGES » •  IDENTIFIER UN PROBLÈME À RÉSOUDRE OU UN SYSTÈME À OPTIMISER SUR UN TERRITOIRE (COMMUNE, INTERCOMMUNALITÉ, DÉPARTEMENT, …) •  RASSEMBLER UNE COMMUNAUTÉ AUTOUR D’UN CHALLENGE À RELEVER •  RASSEMBLER DES DONNÉES ISSUES DE PLUSIEURS PRODUCTEURS (PUBLICS, PRIVÉS, CROWDSOURCING…) •  ENRICHIR ET TRAVAILLER LES DONNÉES POUR LES REDIFFUSER EN OPEN DATA •  IDENTIFIER ET COLLECTER LES DONNÉES MANQUANTES •  TESTER DES HYPOTHÈSES : DATA VISUALISATIONS DE DONNÉES CROISÉES, BIG DATA, ANALYSE DE DONNÉES, ETC. •  PERMETTRE L’AIDE À LA DÉCISION POUR L’AMÉLIORATION DES POLITIQUES PUBLIQUES
  • 5. « DATA CHALLENGES » : INNOVATIONS •  MOTIVER LA PARTICIPATION CITOYENNE •  ASSOCIER LES PARTIES PRENANTES LOCALES (ASSOCIATIONS, ENTREPRISES, COLLECTIVITÉS, OPÉRATEURS…) •  RASSEMBLER LES DONNÉES OPEN DATA DISPONIBLES •  ENCOURAGER LA DIFFUSION DES DONNÉES RETRAVAILLÉES •  PERMETTRE UNE BOUCLE DE RÉTROACTION AUX PRODUCTEURS DE DONNÉES •  RENFORCER DES APPROCHES « DATA DRIVEN DECISIONS » •  FACILITER LE CROISEMENT ET LA VISUALISATION DE DONNÉES