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Evropský systém datových služeb: stále v přípravě, ale pokročilé

100%
Krejčí J.
Data a výzkum - SDA Info (Data and Research - SDA Info)
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2007
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vol. 1
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issue 1
35-46
EN
Social data archives are of specific importance as an infrastructure for international comparative research. In this area, they serve not only as a source of data, but also participate in the organization of international surveys and participate in research in the field of data harmonization and the development of standardized indicators. Since the beginning of data archiving in Europe, building a common European system of data services has therefore been considered. Many existing national archives are associated in the CESSDA organization. Their cooperation includes an agreement on the international exchange of data, but the real interconnection of data services has not yet taken place. The problem is the mutual incompatibility of existing systems of data services, information about data and the general incompatibility of production in social science research. So far, partial successes have been achieved in overcoming barriers, in particular a satisfactory software and hardware solution for data services interconnection (NESSTAR) has been developed, metadata (DDI) is being standardized, the ELSST multilingual thesaurus is being developed and several data libraries in a common catalog have been partially interconnected. C-CAT. The creation of a European data services system is being prepared in the CESSDA-PPP project. However, it is uncertain whether funds will be obtained for its implementation.
CS
Archivy sociálních dat mají specifický význam jako infrastruktura pro mezinárodní komparativní výzkum. V této oblasti slouží nejen jako zdroj dat, ale podílejí se i na organizaci mezinárodních šetření a zapojují se do výzkumu v oblasti harmonizace dat a vývoje standardizovaných indikátorů. Od počátku archivace dat v Evropě se proto uvažuje o budování společného evropského systému datových služeb. Řada stávajících národních archivů je sdružena v organizaci CESSDA. Jejich spolupráce zahrnuje dohodu o mezinárodní výměně dat, k reálnému propojení datových služeb ale dosud nedošlo. Problémem je vzájemná nekompatibilita stávajících systémů datových služeb, informací o datech i obecná nekompatibilita produkce v sociálněvědním výzkumu. Dosud bylo dosaženo dílčích úspěchů v překonání bariér, zejm. bylo vyvinuto uspokojivé softwarové a hardwarové řešení pro propojení datových služeb (NESSTAR), dochází k standardizaci metadat (DDI), vyvíjen je multilinguální thesaurus ELSST a došlo k částečnému propojení několika datových knihoven ve společném katalogu C-CAT. Vytvoření evropského systému datových služeb je připravováno v projektu CESSDA-PPP. Není však jisté, zda budou získány prostředky na jeho realizaci.
2
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Approaching quality in survey research: towards a comprehensive perspective

100%
Krejčí J.
Sociologický časopis. Czech Sociological Review
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2010
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vol. 46
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issue 6
1011-1033
EN
The article has two goals: (1) bring attention to the problem of inappropriate treatment of survey data quality issues in the social sciences, and (2) introduce the basic principles of contemporary approaches to survey quality. If quality evaluation focuses solely on sampling error, most aspects of data quality are ignored and surveys are assumed to have 'ideal' statistical characteristics that are rarely attainable in the pragmatic world of survey fieldwork. A complex overview of the entire process of data collection provides a more solid foundation for evaluating data quality. Under this approach, quality is ensured by controlling the whole survey process. Accuracy, which is commonly elaborated using the concept of survey error, ceases to be the only dimension of quality. Nevertheless, this data quality component is crucial for data analysis and statistical testing. A comprehensive approach to survey data quality requires us to take account of complex sample designs when evaluating sampling error and to identify and distinguish between different dimensions of nonsampling error. Analysts who are not directly involved in data collection have limited ability to obtain information necessary for data quality evaluation. There are two types of quality standards: administratively imposed standards (ISO20252:2006) and the technical and ethical criteria of professional associations (e.g. ICC/ESOMAR, AAPOR/WAPOR, SIMAR). These help break this information barrier between data producers and data users.
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