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DataSciences Solutions
13/07/2018 1
• Plan
• Introduction
• Architecture
CASD
• Use Case projet
BigData
• Réalisation
sécurisée
DataSciences Solutions
13/07/2018 2
• Plan
• Introduction
• Architecture
CASD
• Use Case projet
BigData
• Réalisation
sécurisée
he product remains in
e hermetically sealed
chamber
hose who access the
roduct are identified
They can see the
product
They can handle the
product
They are in a familiar
environment
They can insert and
xtract things through
strict procedure only
DATA remain in the
‘bubble’
Biometric
identification of the
researchers
Researchers can see
the DATA
They can use a large
set of software tools
They are in a familiar
and user-friendly wor
environment
Inputs and outputs ar
possible through a
strict procedure only
Inputs Outputs
CHECKPOINT
CHECKPOINT
RESEARCHERS HAVE A RESEARCH PROJECT
REQUIRING CONFIDENTIAL DATA STATISTICAL CONFIDENTIALITY COMMITTEE
DATA PROTECTION AUTHORITY
- ENROLMENT SESSION
- FINGERPRINTS TAKEN
- SD-BOX
National Institute of
Statistics and
Economical Studies
(INSEE)
Ministry of Finance Ministry of Labour
Ministry of
Agriculture
Ministry of Justice Ministry for Education
Ministry of
Environment
Central Agency for
Social Security
Organisations
Public Investment
Bank
Hospital Stays Memento Cohort National Agency for Information
on Housing and Lodging
Assessing financial constraints at the firm level: a new
approach
Economic cycle and reallocation of resources: the
importance of the creation and destruction of businesses
International trade of waste: key factors
Credit constraints and innovation
Governance and innovation: a study of the context in
France
• 27 people working at CASD (IT, datascience, statistics…)
• 207 confidential data sources
• 1500 in France and in Europe (UK, DE, NL, SP, DK, CH, etc.)
• 500 projects
• More than 200 publications
• More than 400 access points (30% private companies (banking,
insurance, energy, transport)
5
Few figures
Kamel Gadouche
Kamel Gadouche

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Kamel Gadouche

  • 1. DataSciences Solutions 13/07/2018 1 • Plan • Introduction • Architecture CASD • Use Case projet BigData • Réalisation sécurisée
  • 2. DataSciences Solutions 13/07/2018 2 • Plan • Introduction • Architecture CASD • Use Case projet BigData • Réalisation sécurisée he product remains in e hermetically sealed chamber hose who access the roduct are identified They can see the product They can handle the product They are in a familiar environment They can insert and xtract things through strict procedure only DATA remain in the ‘bubble’ Biometric identification of the researchers Researchers can see the DATA They can use a large set of software tools They are in a familiar and user-friendly wor environment Inputs and outputs ar possible through a strict procedure only
  • 3.
  • 5. RESEARCHERS HAVE A RESEARCH PROJECT REQUIRING CONFIDENTIAL DATA STATISTICAL CONFIDENTIALITY COMMITTEE DATA PROTECTION AUTHORITY - ENROLMENT SESSION - FINGERPRINTS TAKEN - SD-BOX
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. National Institute of Statistics and Economical Studies (INSEE) Ministry of Finance Ministry of Labour Ministry of Agriculture Ministry of Justice Ministry for Education Ministry of Environment Central Agency for Social Security Organisations Public Investment Bank Hospital Stays Memento Cohort National Agency for Information on Housing and Lodging
  • 11. Assessing financial constraints at the firm level: a new approach Economic cycle and reallocation of resources: the importance of the creation and destruction of businesses International trade of waste: key factors Credit constraints and innovation Governance and innovation: a study of the context in France
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. • 27 people working at CASD (IT, datascience, statistics…) • 207 confidential data sources • 1500 in France and in Europe (UK, DE, NL, SP, DK, CH, etc.) • 500 projects • More than 200 publications • More than 400 access points (30% private companies (banking, insurance, energy, transport) 5 Few figures