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Microdata Information System MISSY: Benefits for Research with Official Microdata, DDI-Based Implementation, and Evaluation with Regard to FAIR Criteria

[working paper]

Bohr, Jeanette
Balz, Anne
Thirolf, Florian
Zloch, Matthäus

Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften

Abstract

This paper presents the microdata information system (MISSY). MISSY is a service of the German Mi-crodata Lab (GML) for empirically working scientists conducting research using microdata from official statistics. MISSY provides detailed metadata on individual data sets from the German (Microcensus) ... view more

This paper presents the microdata information system (MISSY). MISSY is a service of the German Mi-crodata Lab (GML) for empirically working scientists conducting research using microdata from official statistics. MISSY provides detailed metadata on individual data sets from the German (Microcensus) and European official statistics (e.g. EU-SILC, EU-LFS) and aims to facilitate the use of the data through user-friendly and quickly accessible data documentation. We address the documentation requirements of official microdata, elaborate the benefits of structured metadata for researchers and describe the resulting objectives and contents of MISSY. Subsequently, we introduce the specific technical implementation: A general description of the technical infrastruc-ture as well as the basic data model (DDI-based) and the import/export interfaces of the database. Finally, we discuss MISSY with regard to the FAIR criteria and show how MISSY contributes to official microdata being "FAIR".... view less

Keywords
official statistics; microcensus; Europe; data bank; online service; data; data preparation; empirical social research; Federal Republic of Germany; information system; portal; data documentation

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Information and Documentation, Libraries, Archives

Free Keywords
MISSY

Document language
English

Publication Year
2018

City
Köln

Page/Pages
29 p.

Series
GESIS Papers, 2018/18

DOI
https://doi.org/10.21241/ssoar.58260

ISSN
2364-3781

Licence
Creative Commons - Attribution-NonCommercial 4.0


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