This paper is part of a series that focuses on DDI usage and how the metadata specification should be applied in a variety of settings by a variety of organizations and individuals. Support for this working paper series was provided by the authors' home institutions; by GESIS -Leibniz Institute for the Social Sciences; by Schloss Dagstuhl -Leibniz Center for Informatics; and by the DDI Alliance.
FORWARDThis paper is the product of one of the three working groups at Dagstuhl event 11382. The group was charged with producing a reference model for the process of longitudinal data production and use, with an emphasis on the specification and management of the supporting metadata. This model is designed to be useful for the gamut of study types where data are collected across time, including panel studies and repeated cross-sectional studies. It should also be useful for single cross-section studies.
This paper is part of a series that focuses on DDI usage and how the metadata specification should be applied in a variety of settings by a variety of organizations and individuals. Support for this working paper series was provided by the authors' home institutions; by GESISLeibniz Institute for the Social Sciences; by Schloss Dagstuhl -Leibniz Center for Informatics; and by the DDI Alliance.By Larry Hoyle and Joachim Wackerow with Oliver Hopt
B Y L A R R Y H O Y L E A N D J O A C H I M W A C K E R O W W I T H O L I V E R H O P T
ABSTRACTIn many instances the only source of certain metadata may be in a file saved from some data analysis program. This is an exploration of what metadata can be harvested from several commonly used programs, and therefore by deduction what else is not available from these programs. These metadata elements are mapped into the appropriate DDI 3 structure.
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