Deadline: May 1, 2022

Link: t.uzh.ch/1il

We are looking for authors who would like to contribute an entry to the new Database of Variables for Content Analysis (DOCA) → www.hope.uzh.ch/doca

The open access database compiles, systematizes and evaluates relevant content-analytical variables of communication and political science research areas and topics. The aim of DOCA is to provide easily accessible examples of variables and their categories (values) used in content analysis. These examples can serve as a basis for further research projects. DOCA provides entries for single variables (e.g. actors, issues,...) and more complex theoretical constructs (often measured by more than one variable e.g., americanization).

The database offers a starting point for the operationalization of content-analytical questions and provides a basis for standardization (where possible and useful) and also comparability of content analytic studies. Furthermore, the database aims to contribute to equal opportunities between all researchers in this field by providing free access to important resources.

Procedure regarding the call:

• Please send suggestions for further variables to mfg@ikmz.uzh.ch by 15.04.2022 at the latest. The entries for variables or constructs that are already on the database can be found under the following link www.hope.uzh.ch/doca
• You will then receive an immediate reply as to whether the suggested constructs or variables can be included and, if applicable, author instructions for the preparation of the entry.
• Please submit your entry (approx. 2 pages in length) by May 01, 2022 at the latest. Every entry will be peer reviewed by 2 reviewers.
• If accepted, we will take over the typesetting, design and publication of the entry. Each entry receives a DOI number.
• Publication is free of charge.

We are very much looking forward to your submissions.

Franziska Oehmer (principal editor), University of Zurich & University of Applied Sciences of the Grisons; Sabrina H. Kessler, University of Zurich; Edda Humprecht, University of Zurich; Katharina Sommer, ZHAW; Laia Castro Herrero, Universitat Internacional de Catalunya & University of Zurich