Contents (Leading Practices in SIS)
Index (Leading Practices in SIS)

Objectives - Risks - Motivation

Principles and policies that motivate statistical computing practices, or the risks to be avoided.

Statistics Denmark: IT Strategy 2006
The role of IT in disseminating statistics. Focusing user needs and expectations
Software Quality Framework for Statistics Canada
Evaluating Efficiency of Statistical Data Editing: General Framework
Evaluations of data editing systems
PAPERS PRESENTED AT THE MEETINGS
Management of statistical information systems
Open source for statistics - A stairway to heaven? (Norway)
IT policy of Statistics Sweden (Sweden)
Statistical metadata
Statistical metadata - the key element to improved data quality and data exchange in the FAOSTAT2 project (FAO)
Data editing, data reporting and related fields
A comparison study of ACS If-Then-Else, NIM, DISCRETE edit and imputation systems using ACS data (USA)
Procedures to improve the data-cleaning process based on quality information (Austria)
Evaluating, monitoring and documenting the effects of editing and imputation in ISTAT surveys (Italy)
Evaluation of automatic versus manual editing of production statistics 2000 trade & transport (Netherlands)
Impact of data processing on unified enterprise survey microdata (Canada)
Performance of Bootstrap Techniques with Imputed Survey Data (Spain)
Using mixture modelling to deal with unity measure error (Italy)
Statistical data confidentiality
Contexts for the development of a data access and confidentiality protocol for UK national statistics (UK)
Demand for data and access to data (Germany)
Cost-effective implementation of synthetic tabulation (United States)
Accessing microdata via the Internet (Israel)
Providing remote access to data: the academic perspective (United Kingdom)
Assessing individual risk of disclosure: an experiment (Italy)
Cell suppression in Eurostat on structural business statistics (Eurostat)
Assessing disclosure risk and data utility: a multiple objectives decision problem (Spain)