1. © Federal Statistical Office, Institute for Research and Development in Federal Statistics, Elmar Wein Federal Statistical Office Concepts, materials and IT modules for data editing of German statistics Selected ITtools and materials for data editing processes

2. © Federal Statistical Office, Institute for Research and Development in Federal Statistics, Elmar Wein Federal Statistical Office Aspects of the new German data editing concept Methodological aspects: Enhanced “output orientation” of data editing Standardised data editing processes Use of modern data collection and data editing methods Adaptation of accepted business science methods 3 data editing processes: Planning of data editing: Building a “bridge” from users’ needs to adequate data editing processes Data editing: (Outsourcing of editing in combination with) the management of modern data editing methods Optimisation of data editing: Improvement of data editing processes as well as data editing methodology and data gathering instruments

3. © Federal Statistical Office, Institute for Research and Development in Federal Statistics, Elmar Wein Federal Statistical Office A data editing intranet site Dissemination in an intranet of all statistical offices

4. © Federal Statistical Office, Institute for Research and Development in Federal Statistics, Elmar Wein Federal Statistical Office Standardising data editing processes by predefined work flows Powerpoint-Presentations: DE as part of the data collection DE by statisticians Properties and Expectations: Cover current best practices Work flows consist of mandatory and optional components -> Flexibility Support of around 80 % of all existing and new data editing strategies Relation to the collection of DE methods

5. © Federal Statistical Office, Institute for Research and Development in Federal Statistics, Elmar Wein Federal Statistical Office ITtools - Collection and judgement of relevant information Electronic guideline: ACCESS (cross sectional) database: Collection and judgement of information Generation of reports Relevant information: Planned statistical results Complexity of survey contents and possiblities to check them Expected difficulties Positive, negative preconditions of a planned data editing strategy User interface of the electronic guideline

6. © Federal Statistical Office, Institute for Research and Development in Federal Statistics, Elmar Wein Federal Statistical Office ITtools - Specifying checks PL-Editor: Cross sectional database that stores data edting specifications Support: Specifying and analysis of characteristics, checks Generating file structures, executable checking modules Generating work manuals Reuse of meta data for further statistical production Will be used by all statistical offices User interface of the PL-Editor

7. © Federal Statistical Office, Institute for Research and Development in Federal Statistics, Elmar Wein Federal Statistical Office ITtools - Planning and management of data editing processes Process Manager: Preliminary tool: EXCEL spread sheet with implemented macros Supports planning and management of standardised data editing processes Implementation of methods derived from personnel employment and time scheduling: Estimation of the time effort Personnel employment Time scheduling Costs of personnel employment Estimation of the time effort

8. © Federal Statistical Office, Institute for Research and Development in Federal Statistics, Elmar Wein Federal Statistical Office A collection of SAS macros for the support of selective and macro editing Support Selective editing method and macro editing method Comparisons of statistical results Computation of simple weighting factors Development and simulation of a selective editing method Components Collection of around 60 configurable SAS Macros (V 8.2) and 6 related SAS-projects, documented completely in English, (partly under development) Guideline for the development of a selective and macro editing method in English (under development)