- Baur, Nina: Measurement and selection bias in longitudinal data: a framework for re-opening the discussion on data quality and generalizability of social bookkeeping data.
- Abrahamson, Mark; Bollen, Kenneth; Gutmann, Myron P.; King, Gary; Pienta, Amy: Preserving quantitative research-elicited data for longitudinal analysis: new developments in archiving survey data in the U.S.
- Thonfeld, Christoph: Collecting and interpreting qualitative research-elicited data for longitudinal analysis: the case of oral history data on World War II forced labourers.
- Arathymou, Spyridoula: Finding and accessing the right archive and archival data: archival tools to support research and to make archives available to public.
- Alter, George; Mandemakers, Kees; Gutmann, Myron P.: Defining and distributing longitudinal historical data in a general way through an intermediate structure.
- Mika, Tatjana: The effect of social and institutional change on data production: the case of welfare state reforms on the rise and decline of unemployment and care-giving in the German pension fund data.
- Kruppe, Thomas: Empirical consequences of definitions: the case of unemployment in German register data.
- Meyer, Peter B.: Who had an occupation? Changing boundaries in historical U.S. census data.
- Thorvaldsen, Gunnar: Changes in data collection procedures for process-generated data and methodological implications: the case of ethnicity variables in 19th century Norwegian censuses.
- Seysen, Christian: Effects of changes in data collection mode on data quality in administrative data: the case of participation in programmes offered by the German employment agency.
- Hethey, Tanja; Spengler, Anja: Combined Firm Data for Germany (KombiFiD): matching process-generated data and survey data.
- Köhler, Markus; Thomsen, Ulrich: Data integration and consolidation of administrative data from various sources: the case of Germans' employment histories.
- Huber, Martina; Schmucker, Alexandra: Identifying and explaining inconsistencies in linked administrative and survey data: the case of German employment biographies.
- Oberschachtsiek, Dirk; Scioch, Patrycja: Cleansing procedures for overlaps and inconsistencies in administrative data: the case of German labour market data.
- Mochmann, Ingvill C.; Lee, Sabine; Stelzl-Marx, Barbara: The children of occupations born during the Second World War and beyond: an overview.
- Mochmann, Ingvill C.; Oland, Arne: Der lange Schatten des Zweiten Weltkriegs: Kinder deutscher Wehrmachtssoldaten und einheimischer Frauen in Dänemark.
- Diederichs, Monika: "Moffenkinder": Kinder der Besatzung in den Niederlanden.
- Lee, Sabine: Kinder amerikanischer Soldaten in Europa: ein Vergleich der Situation britischer und deutscher Kinder.
- Stelzl-Marx, Barbara: Die unsichtbare Generation: Kinder sowjetischer Besatzungssoldaten in Österreich und Deutschland.
HSR Vol. 34 (2009) No. 3: Special Issue: Social Bookkeeping Data
Nina Baur (Ed.): Social Bookkeeping Data: Data Quality and Data Management
Social bookkeeping data are one of the oldest data sources for historical and social research. While they resemble survey data in many ways, they also raise specific methodological problems, as the researcher does not control data production. Instead, societal and institutional filters influence which data are produced in what way and if and how data are stored. Accordingly, in the 1970s and 1980s, there has been an intense discussion on data quality and data management of public administrational data in German historical research. While the use of social bookkeeping data in research practice has increased in recent years, the methodological debate strangely lacks behind this development.
This special issue thus aims at re-opening the discussion on social bookkeeping data and at linking it to modern methodological discourse. Major issues to be tackled today are (a) data lore and measurement quality; (b) data selection and sampling problems; (c) archiving and statistical programmes and (d) data preparation.