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Discover Your Research Data!

Jul 16, 2021 | 10:00 AM - 12:00 PM

Workshop Exposé “Discover your research data”

Conducting research for PhD projects in Area Studies will most certainly lead to the collection of data in various forms - from digitised sources to empirical data or social media threads. Therefore, data management is increasingly becoming a key component of the research process. While funders are already requesting data management plans (DMPs) which ask about the findability, accessibility, interoperability and reusability of research data (FAIR data), the discussion in scholarly communities like the Area Studies on what good academic practices encompass in regard to data management in dissertations and research projects has just begun.


The workshop aims at jointly exploring the concept of research data in general and with regard to participant's research data in particular. After a short introductory input presentation of the research data management team and the research librarian for East Asian Studies of Freie Universität Berlin University Library, a text discussion on ethnographic research data management positions will serve as basis for exploring research data in participant's PhD projects.


Finally, we envision the workshop as a starting point for a continued faculty-library dialogue on Area Studies research data management practices and knowledge infrastructures which best support the needs of doctoral researchers.


Introductory Literature Recommendation

As a preparation we kindly ask all participants to read the following texts to be discussed in the workshop.

  • Reiher, Cornelia; Wagner Cosima (2021): How to conduct reliable and fair research. Good research practice In: Kottmann, Nora; Reiher Cornelia (eds.) Studying Japan. Handbook of Research Designs, Fieldwork and Methods, Nomos, S 428-441. E-Book open accessible via VPN - Primo – Nomos eLibrary : https://doi.org/10.5771/9783845292878 (Focus on the Research Data / Open Science sections)


  • Dilger, Hansjörg; Pels, Peter; Sleeboom-Faulkner, Margaret (2019): Guidelines for data management and scientific integrity in ethnography. In: Ethnography 20 (1), S. 3–7. https://doi.org/10.1177/1466138118819018


Please register until July 14th by writing a short email to events[at]geas.fu-berlin.de