Fact Sheet “DOCA – Database of Variables for Content Analysis”. On the relevance, objective, content and participation possibilities of the database of variables for standardized content analysis
The Open Access Database of Variables for Content Analysis (DOCA) collects, systematizes, and evaluates operationalizations for standardized manual and automatic content analysis in the field of communication science. DOCA aims to facilitate researchers in finding suitable and established or tested...
| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | deu |
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Seismo Verlag
2023-12-01
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| Series: | Studies in Communication Sciences |
| Subjects: |
| _version_ | 1827582195563233280 |
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| author | Franziska Oehmer-Pedrazzi Sabrina H. Kessler Edda Humprecht Katharina Sommer Laia Castro |
| author_facet | Franziska Oehmer-Pedrazzi Sabrina H. Kessler Edda Humprecht Katharina Sommer Laia Castro |
| author_sort | Franziska Oehmer-Pedrazzi |
| collection | DOAJ |
| description | The Open Access Database of Variables for Content Analysis (DOCA) collects, systematizes, and evaluates operationalizations for standardized manual and automatic content analysis in the field of communication science. DOCA aims to facilitate researchers in finding suitable and established or tested operationalizations (as well as complete codebooks) for standardized content analysis. For communication science research, this is expected to result in increased comparability of content analytic studies and projects, as well as greater emphasis on the transparency of operationalizations and quality indicators. The present fact sheet is associated with two central objectives: firstly, to provide information about DOCA and its applications, thereby increasing awareness of this research infrastructure. Secondly, from the personal perspective of the editors, this article aims to outline the process and associated challenges involved in the conception, realization, and maintenance of a research database. |
| first_indexed | 2024-03-08T22:47:59Z |
| format | Article |
| id | doaj.art-2ab3b51dead741f18b69c79d17ae415d |
| institution | Directory Open Access Journal |
| issn | 1424-4896 2296-4150 |
| language | deu |
| last_indexed | 2024-03-08T22:47:59Z |
| publishDate | 2023-12-01 |
| publisher | Seismo Verlag |
| record_format | Article |
| series | Studies in Communication Sciences |
| spelling | doaj.art-2ab3b51dead741f18b69c79d17ae415d2023-12-16T21:22:42ZdeuSeismo VerlagStudies in Communication Sciences1424-48962296-41502023-12-01233391395https://doi.org/10.24434/j.scoms.2023.03.4415Fact Sheet “DOCA – Database of Variables for Content Analysis”. On the relevance, objective, content and participation possibilities of the database of variables for standardized content analysisFranziska Oehmer-Pedrazzi0https://orcid.org/0000-0003-4005-9659Sabrina H. Kessler1https://orcid.org/0000-0003-1858-7041Edda Humprecht2https://orcid.org/0000-0002-8127-2088Katharina Sommer3Laia Castro4https://orcid.org/0000-0001-6281-0365University of Applied Sciences Graubünden, Institute for Multimedia ProductionUniversity of Zurich, Department of Communication and Media Research IKMZUniversity of Jena, Institute of Communication Science IfKWZurich University of Applied Sciences ZHAWUniversity of Barcelona, Department of Political ScienceThe Open Access Database of Variables for Content Analysis (DOCA) collects, systematizes, and evaluates operationalizations for standardized manual and automatic content analysis in the field of communication science. DOCA aims to facilitate researchers in finding suitable and established or tested operationalizations (as well as complete codebooks) for standardized content analysis. For communication science research, this is expected to result in increased comparability of content analytic studies and projects, as well as greater emphasis on the transparency of operationalizations and quality indicators. The present fact sheet is associated with two central objectives: firstly, to provide information about DOCA and its applications, thereby increasing awareness of this research infrastructure. Secondly, from the personal perspective of the editors, this article aims to outline the process and associated challenges involved in the conception, realization, and maintenance of a research database.content analysisdatabaseoperationalizationvariablesconstructsreliability |
| spellingShingle | Franziska Oehmer-Pedrazzi Sabrina H. Kessler Edda Humprecht Katharina Sommer Laia Castro Fact Sheet “DOCA – Database of Variables for Content Analysis”. On the relevance, objective, content and participation possibilities of the database of variables for standardized content analysis Studies in Communication Sciences content analysis database operationalization variables constructs reliability |
| title | Fact Sheet “DOCA – Database of Variables for Content Analysis”. On the relevance, objective, content and participation possibilities of the database of variables for standardized content analysis |
| title_full | Fact Sheet “DOCA – Database of Variables for Content Analysis”. On the relevance, objective, content and participation possibilities of the database of variables for standardized content analysis |
| title_fullStr | Fact Sheet “DOCA – Database of Variables for Content Analysis”. On the relevance, objective, content and participation possibilities of the database of variables for standardized content analysis |
| title_full_unstemmed | Fact Sheet “DOCA – Database of Variables for Content Analysis”. On the relevance, objective, content and participation possibilities of the database of variables for standardized content analysis |
| title_short | Fact Sheet “DOCA – Database of Variables for Content Analysis”. On the relevance, objective, content and participation possibilities of the database of variables for standardized content analysis |
| title_sort | fact sheet doca database of variables for content analysis on the relevance objective content and participation possibilities of the database of variables for standardized content analysis |
| topic | content analysis database operationalization variables constructs reliability |
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