Arbeitspapier | Working paper

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

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".

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

Urheber*in: Bohr, Jeanette; Balz, Anne; Thirolf, Florian; Zloch, Matthäus

Attribution - NonCommercial 4.0 International

ISSN
2364-3781
Extent
Seite(n): 29
Language
Englisch
Notes
Status: Veröffentlichungsversion

Bibliographic citation
GESIS Papers (2018/18)

Subject
Sozialwissenschaften, Soziologie
Publizistische Medien, Journalismus,Verlagswesen
Information und Dokumentation, Bibliotheken, Archive
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Bundesrepublik Deutschland
Mikrozensus
Datendokumentation
amtliche Statistik
Informationssystem
Online-Dienst
Europa
Datenbank
Daten
Datenaufbereitung
empirische Sozialforschung
Portal

Event
Geistige Schöpfung
(who)
Bohr, Jeanette
Balz, Anne
Thirolf, Florian
Zloch, Matthäus
Event
Veröffentlichung
(who)
GESIS - Leibniz-Institut für Sozialwissenschaften
(where)
Deutschland, Köln
(when)
2018

DOI
URN
urn:nbn:de:0168-ssoar-58260-7
Rights
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
Last update
21.06.2024, 4:26 PM CEST

Data provider

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Object type

  • Arbeitspapier

Associated

  • Bohr, Jeanette
  • Balz, Anne
  • Thirolf, Florian
  • Zloch, Matthäus
  • GESIS - Leibniz-Institut für Sozialwissenschaften

Time of origin

  • 2018

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