Qualification portal for PhD students

Data Literacy with Focus on Research Data Management: Upskilling your data competencies for your thesis (SUB/GGG) in person


Target group:
PhD students of GGG

Schedule: The workshop consists of seven sessions which belong together:

  • Session 1, Tue 02/06/2026, 10:00-13:15
  • Session 2, Wed 03/06/2026, 10:00-13:15
  • Session 3, Fr 05/06/2026, 10:00-13:15
  • Session 4, Mo 08/06/2026, 10:00-13:15
  • Session 5, Tue 09/06/2026, 10:00-13:15
  • Session 6, Thu 11/06/2026, 13:00-17:15
  • Session 7, Fr 12/06/2026, 10:00-13:15


Venue: SUB - ZB Großer Seminarraum 1.10/1.11
Available seats: 12
Course language: English

This course introduces you to the topic of Data literacy (DL) and Research Data Management (RDM). It teaches essential skills in handling data in accordance with the FAIR principles and focuses on developing data literacy across five key competence areas: data collection, data management, data evaluation, data application, and the conceptual framework. Special attention is given to data management which is practiced in all phases of the research data life cycle using students' own PhD projects as example.

  • Research Data Management, Data Management Plan (Repositories, Roadshow GWDG Services, Gro Data)
  • Open Science: FAIR and CARE principles
  • data storage and documentation: storage devices, file structure (data organization in spread sheets, documentation and storage of social media sources with Git)
  • repositories: metadata, archiving, licences
  • data protection: legal and ethical aspects, anonymisation / pseudonymisation
  • RDM tools: data cleaning, qualitative coding (Software presentations: CAQDAS and taguette)
  • AI in qualitative Data Analysis

Please upload a document (word or pdf file) in the registration form including the following information:

  • Title of your thesis:
  • Institute / Department:
  • What kind of data have you collected?
  • How are you processing/preparing the data as part of your thesis / project?
  • Are you using any specific tools or software to work with the data?
  • Which topic interests you most in this course, and why?
  • What are your expectations for this course?

Dr. Barbara Löhde studied Political Science and Geography at the University of Mainz and earned her PhD in Anthropology at the University of Göttingen, where she also taught courses in anthropology. Through various research projects and extended fieldwork stays, particularly in West African countries, she has gained extensive experience in international and interdisciplinary collaborative research.

Dr. Merle Schatz holds a PhD in Language and Cultural Studies of Central Asia (Sinology and Mongolian Studies). She has twelve years of teaching experience at the universities of Leipzig, Cologne, Beijing, and Göttingen, and has authored and edited numerous academic publications. She currently works as a subject specialist at the SUB Göttingen, responsible for Sociology, Political Science, and Educational and Higher Education Studies.

As team members of the State Initiative Research Data Management Lower Saxony, Dr. Barbara Löhde and Dr. Merle Schatz are jointly committed to building the data literacy skills of students and researchers, and are happy to share their combined expertise in teaching in higher education and in the management of qualitative, ethnographic, and text-based data.

ECTS: 4 credits
Requirements: You will receive a certificate for active participation if you...

  • develop your own thesis-related Data Management Plan (DMP),
  • attend all sessions, and
  • contribute to the discussions and exercises.

Recognition: PhD candidates in Social Sciences who are doing their doctorate according to the doctoral degree regulations of 2024 can have the workshop credited for the module “P.SOWI.160: Data Literacy with Focus on Research Data”. If you have any further questions about recognition, please contact your respective degree program coordinator (Studiengangskoordination).


Registration:
Please, register online via the registration form for GGG courses. Please also note our regulations on bindingness: e.g. four weeks before a course starts, all course registrations are regarded as binding.

Contact for further information:
Dr. Nelly C. Schubert
Phone: +551 39-28219
E-mail: ggg.kursanmeldung@uni-goettingen.de

This course is organized by the Faculty of Social Sciences, the State and University Library (SUB) and the Göttingen Graduate School of Social Sciences (GGG).
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