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GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
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The results can be filtered quickly and conveniently according to the following categories:
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Contact: suche@gesis.org
The GESIS Library is a special library for Empirical Social Research and Applied Computer Science. It is available to external users as a reference library in Cologne and Mannheim.
The cooperation with the Research Data Center Education at the DIPF enables us to show you also hits on measurement instruments in the field of educational research. The measurement instruments documented there can be used free of charge for non-commercial purposes.
The cooperation with the Open Test Archive at the Leibniz Institute of Psychology (ZPID) enables us to show you also hits on measurement instruments in the field of psychology and related disciplines. The measurement instruments documented there are protected by copyright and are made available free of charge ("Open Access") for use in research, teaching and practice under a Creative Commons license.
Hipp, Ann; Fritsch, Michael; Greve, MariaGünther, Jutta; Lange, Marcel; Liutik, Christian; Pfeifer, Beate; Shkolnykova, Mariia; Wyrwich, Michael
GESIS, Cologne. Data File Version 1.1, https://doi.org/10.7802/2448
Abstract: The database contains all patents granted in the GDR and published by the Office of Inventions and Patents (AfEP, later: German Patent and Trade Mark Office/DPMA) in the ... more
Abstract: The database contains all patents granted in the GDR and published by the Office of Inventions and Patents (AfEP, later: German Patent and Trade Mark Office/DPMA) in the ... more
Availability: Free access (with registration)
Subject area: Economics
Topics: German Democratic Republic, Invention, Patent, Patentrecht, patent, patent law, patent protection, patent system
Date(s) of Data Collection: 2019-06; 2022-05
Geographic coverage: Germany / DE
Sampling Procedure: Total Universe / Complete enumeration
Temporal Research Design: 1950-1989
Mode of Data Collection: Aggregation
Primärforschende, Institution: Hipp, Ann; Universität Bremen, Fritsch, Michael; Friedrich-Schiller-Universität Jena, Greve, Maria; Friedrich-Schiller-Universität Jena und Universität Groningen, Günther, Jutta; Universität Bremen, Lange, Marcel; Universität Bremen, Liutik, Christian; Patentinformationszentrum der Friedrich-Schiller-Universität Jena, Pfeifer, Beate; Patentinformationszentrum der Friedrich-Schiller-Universität Jena, Shkolnykova, Mariia; Universität Bremen, Wyrwich, Michael; Universität Groningen
Publication year: 2022
DOI: 10.7802/2448
Study number: SDN-10.7802-2448
Project funder: Bundesministerium für Bildung und Forschung (BMBF)
Publisher: GESIS, Cologne
Current Version: 1.1, https://doi.org/10.7802/2448
Version history:
| Version number | Changes in this version |
|---|---|
| 1.1 (aktuelle Version) | 2022-08-30 Missings in Excel file ersetzt, CSV-Datei zur Verfügung gestellt, Methodenbericht korrigiert und auf Englisch übersetzt https://doi.org/10.7802/2448 |
| 1.0.0 | 2022-06-09 https://doi.org/10.7802/2423 |
