1. Statistical data editing near the source using cloud computing concepts George Pongas, Christine Wirtz -Eurostat

2. Editing near the source
Accelerates speed of final delivery to users and institutions
Checks and imputations are near the respondent
Data knowledge is frequently more profound in the primary collector institutions
Logical proximity is better than physical: Data and application sharing

3. Cloud and SOA in few Lines
Separates ownership and usage of data storage computer power and application development and execution (cloud)
Cloud variants are IaaS, PaaS, SaaS
Cloud architectures are:
Public
Private
Mixed
Community
Based on web technologies and independent software components to interlink on demand (SOA)

4. Data Editing in Eurostat
High volume of arrivals (> per year)
Format heterogeneity
Data checking absorbs substantial volume of human resources
Erroneous data imply communications with MS
Eurostat as a rule does not Impute…
Interest to have a Common distributed solutions

5. Eurostat’s web enabled system for editing (Editing building block (Ebb)
Completely Metadata Driven
Exists in 2 versions:
PC version
Web-based version
Technologies used:
ANTLR
Java
Tomcat or Weblogic
Hibernate
Postgres or Oracle

6. EBB Information Flow

7. Implementation Details
EBB is written using a set of Web services of the following types:
Administration
Program
Job

8. EBB functionalities Support of categorical, text and numeric variables
Separation of programmer and user interfaces
Conditional and unconditional rules
Multi-record rules
Deterministic imputation
Use of auxiliary data
File operations
Special functions (unicity, duplication checks ...)
Outliers (HB, Sigma Gap, Terror)
Input/output of data/metadata
Reporting

9. Usage until now Embedded in SAS (for microdata editing)
To distribute to data providers as standalone version
FDI (foreign direct investments)
ITS (international trade in services)
SBS (structural business statistics)
CVTS (continuous vocational training survey),
AES (adult education survey)