Data archive
A data achieve is a kind of archive, which builds, maintains and manages collections of machine readable data that describe activities in a society and which are collected by research or teaching activities.
Data archives have been criticized by Brittain (1989, pp. 99-100):
"Experimentation has produced enormous amount of data in the social sciences. Proponents of the method have been at the forefront in the analysis of the data, using statistical analysis since the 1920s, and many social scientists were just as keen as physical and biological scientists to use computers for data processing and analysis, when computers became widely available in the 1960s.
The Results of social science experimentation have been disappointing. When
assessed in terms of the number of rules, principles, and verified theories
produced, little has been achieved. When assessed in terms of the application of
social science knowledge to the solution of social, political, and psychological
problems, there is little demonstrable success; at best, the relationship
between the results of research and the application of the results is tenuous,
and often difficult to establish.
The lack of success of experimentation in the social sciences can be attributed
to a combination of the following reasons:
Unstable terminology
Absence of operational definitions of concepts and variables
Impossibility of identifying all the variables likely to influence the outcomes of experimentation.
Problems in the control of the variables that can be identified
Absence of good theory that can generate testable hypothesizes
Fudging of the verification process of moving from data and observation to the substantiation of hypotheses, and in turn, the verification of theories.
The simple conclusion to be drawn is that data is not knowledge. However, those who support experimentation and controlled observation are sometimes difficult to persuade otherwise. The libraries of the world are full of documents containing unprocessed, and unusable data. The databank movement in the social sciences has perpetuated the mistaken belief that mountains of data are worthwhile, and that if enough is collected, analysed, and stored, benefits will result and the social sciences will progress. This belief is mistaken: it is characteristic of alchemists, or mystics, rather than scientists.
The first experiments in the social sciences took place in psychology
laboratories in Germany in the 1870s. Over 100 years of social science
experimentation has failed to produce a set of theories, principles and
agreement. If the criteria used to evaluate scientific experimentation are
applied to the social sciences, the latter must be judged to have failed"
Organizations:
DDA (Dansk Data Arkiv): http://www.sa.dk/dda/default.htm
IASSIST (The International Association for Social Science Information Services and Technology) founded in 1974 in Toronto: http://www.iassistdata.org/
CESSDA (Committee of European Social Science Data Archives). Founded in Amsterdam, 1976: http://www.nsd.uib.no/cessda/
IFDO (International Federation of Data Organizations). Founded in Louvain-la-Neuve, 1977. http://www.ifdo.org/
SocioSite: Social
Science Data Archives:
http://www.sociosite.net/databases.php
Literature:
Brittain, J. M.
(1989). Knowledge in the social sciences.
International Journal of Information and Library Research, 1(2),
93-105.
Nielsen, P.
(1988). DDAGUIDE - Dansk Data Arkivs søgebase for
studiebeskrivelses-information (pp. 43-59 in: Informationssøgning og
dokumentation inden for humaniora og samfundsvidenskab. Rapport fra et seminar
14.-16.oktober på Københavns Universitet. Kulturfremstødet Danmark-Frankrig
1987-1988. Redigeret af Barbara Melchior. København: Det kongelige Bibliotek).
Journal: DDA-Nyt. Odense: Dansk Data Arkiv.
Danish data archives:
http://www.sa.dk/sa/omarkiverne/english/dda.htm
Council of European Social Science Data Archives: http://www.nsd.uib.no/Cessda/
Se also:
Data
Birger Hjørland
Last edited: 01-10-2008