Data archive workflow



The social science data archive step by step

Ekkehard Mochmann (Central Archive for Empirical Social Research, Cologne, FRG)
Paul de Guchteneire (UNESCO, Paris, France)
 


Content:
 

1. Identification of datasets
2. Sources of data
3. Selection criteria
4. Data transfer to the archive
5. Data processing

6. Documentation
7. Storage
8. Information retrieval
9. Dissemination of data

10. Notes


2. Sources of data

Three main sources of data can be distinguished: the academic sector, the public sector and the private sector.

In the early sixties, when the first data ­archives started operation, the academic sector was truly the primary source of material for the archive. Since then a shift can be observed from the academic sector and private sector to the public sector. Scientific methods and techniques of empirical research are at a high rate taken over by many public research departments. Big cities now have their own statistical bureaus that conduct opinion polls and other surveys on a routine basis. National and international bodies have started big statistical programs to monitor social phenomena. Next to that, numerous new commercial institutes have entered the research market.

The public sector has become a potentially vital source of data for the data­ archive. Statistical data produced by census bureaus and similar institutes forms the basis of many policy decisions. Any social scientist dealing with society on a large scale needs access to data on the same scale. It is the task of the data archive to intermediate between public data producers and the scientific users to get the appropriate data available.


 
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