Export to your Reference Manger

Please Copy & Paste



Bookmark and Share

Infrastructure for large-scale survey measurement: Cooperation between academic research and private-sector agencies

[working paper]

Mohler, Peter Ph.; Rosenbladt, Bernhard von

fulltextDownloadDownload full text

(140 KByte)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:http://nbn-resolving.de/urn:nbn:de:0168-ssoar-427645

Further Details
Corporate Editor Rat für Sozial- und Wirtschaftsdaten (RatSWD)
Abstract "High-quality data from large-scale surveys provide a solid basis for outstanding research in the social sciences. Because of the unique demands of survey measurement in terms of the resources and skills required, it should be viewed as a specific sector of the research data infrastructure. In Germany, large-scale surveys have been established both within and outside academia, and major new projects are underway. Clearly, the sector is expanding. There is a need to discuss future challenges, not only with a focus on individual large projects, but with a view to the sector of large-scale survey measurement in general. One aspect is the segmentation of large-scale survey measurement in Germany along institutional lines (statistical offices, ministerial or government agency research (Ressortforschung), public research institutions, and the academic community). Here, we recommend that an overall framework be developed covering all sub-sectors. A second aspect is the infrastructure required for largescale, high-quality data collection. In Germany (outside the sector of Statistical Offices), this infrastructure is provided by private survey organisations. We argue that these should be recognised as relevant actors within the research data infrastructure. They have to invest in technological and human resources in order to provide the professional services required, and they need conditions and forms of cooperation that encourage this investment." [author's abstract]
Keywords data; science of society; measurement; Federal Republic of Germany; survey research; private institution; public private partnership; data quality; government office; official statistics; research facility; Great Britain; United States of America; validity; reliability
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Method planning procedure
Document language English
Publication Year 2009
City Berlin
Page/Pages 18 p.
Series RatSWD Working Paper Series, 69
Status Published Version
Licence Deposit Licence - No Redistribution, No Modifications
data provider This metadata entry was indexed by the Special Subject Collection Social Sciences, USB Cologne