The University of Erfurt is a partner of the Thuringian Competence Network for Research Data Management, which provides information and materials on the subject of "Research data management in Thuringia" on its website. Here on site we advise all members of the University of Erfurt as well as members of the Thuringian universities of applied sciences from the areas of humanities, economics and pedagogy on all aspects of research data management that emerge during research.
The Research Data Management Service located at the library works closely with the Research and Graduate Service and the URMZ. We cooperate with the data protection officer and establish the contact for the publication services of the Electronic Text Center.
For your project, we would be happy to bring the right partners together.
We offfer consultation services on the following topics
Ordnung der Universität Erfurt zur Sicherung guter wissenschaftlicher Praxis (Ethikkodex)
Research Data Management Policy of Erfurt University (German)
Practical Guidelines on Research Data Management at Erfurt University (German)
DFG Guidelines on the Handling of Research Data
HRK Management of Research Data - a Key Strategic Challenge for University Management(pdf)
Good Research Practice - Guidlines for Sacfeguarding Good Research Practice
Information about the german national research data infrastructure Nationalen Forschungsdateninfrastruktur
TKFDM is taking part in Love Data Week in 2026, again.
Love Data Week (LDW) is an international week of action around the topics of research data and research data management. Under the motto "Where's the Data?" Data Love 2026 will take place worldwide from 09 - 13 February with numerous events on a wide variety of topics. The FDM initiatives in German-speaking countries would like to attract more attention to the topic of research data management with broad participation in Love Data Week.
You can find an overview of the events at Researchdata.info
We, the Go Unite! AG Inclusion in Research Data Management and TKFDM, cordially invite you to a presentation on barrier-free reports on research data in R based on Quarto or RMarkdown. Björn Fisseler will show how you can prepare your analyses in such a way that they are accessible to everyone - regardless of individual requirements or assistive technologies.
The topics at a glance:
- Basics of digital barrier-free accessibility
- Creating barrier-free reports: metadata, structure and semantics, colours and colour contrasts, fonts
- Designing barrier-free plots and diagrams
- Alternative texts: manual, automatic and with artificial intelligence
- Conversion into output formats
The lecture is aimed at researchers who use R, but of course also at employees in RDM who want to advise researchers on this and anyone who wants to present their research data in an accessible and inclusive way. The aim is to anchor barrier-free accessibility as an integral part of your own work process.
Speaker: Dr Björn Fisseler (FernUniversität in Hagen)
Location: Webinar via Zoom
Date: Monday 9th February
Time: 11:30 am to 12:30 pm
Language: German
You can find more information and a registration form on the TKFDM event page
The FAIR principles (Findable, Accessible, Interoprable and Reusable) are a central framework for research data management. They indicate how reusable published datasets are. The careful preparation of research data by researchers and the functionality and features of the repositories used jointly determine the FAIRness of datasets.
But how can we measure how "FAIR" a dataset actually is? This is where the FAIR Assessment Tools come into play - tools that objectively evaluate the FAIRness of data. Due to the rapid development of FAIR assessment in recent years, we are dedicating a follow-up event to our 2023 webinar to the associated tools. After an introduction to the FAIR principles and a brief overview of different FAIR assessment tools, a short break will be followed by the presentation of our new FAIR assessment tool, which has been specially designed for use by researchers and staff in research data management.
We will first offer a demonstration of the tool. You will then have the opportunity to try out the tool for yourself. Please bring the DOIs or URLs of your own datasets with you. Don't worry: If you don't have your own data to hand, you can work with sample datasets provided by the speakers. The event will be recorded (without the chat texts, microphone or webcams of the participants) and published, but no participants will be recognisable.
Speaker: Kevin Lang (TKFDM, Bauhaus University Weimar)
Location: Webinar via Zoom (from the FSU Jena)
Date: Tuesday 10th February
Time: 10:00 to 12:00
Language: German
More information and a registration form can be found on the event page of the TKFDM
The Technical University of Berlin has published a document with 10 steps to successful research data management.
It links to six additional checklists which explore specific aspects of research data management in greater depth.
TKFDM has adapted these materials for the state of Thuringia and makes them available for reuse.
The TKFDM website with all checklists can be found here.
The checklist “10 steps to successful research data management” provides a general overview of the necessary considerations for an effective research data management strategy. The six individual checklists below each focus on a specific aspect of RDM and provide additional useful sources of information. All checklists are also linked as PDF files behind the images.
We hope you enjoy browsing through them!
Since November 1, 2024, researchers at Thuringian universities have had access to a new service for the publication and long-term storage of their research data. The Repository for Research Data Thuringia ( REFODAT for short) is a generic publication platform for data from all subject areas, especially for those for which no suitable subject-specific repository is available. The publication of research data is free of charge for all researchers at Thuringian universities.
Data sets can be submitted at any time via the refodat.de website. An editorial team supports the submission process and ensures, among other things, that data complies with the FAIR principles as far as possible. In addition, the repository provides interfaces that make it possible to transfer collected and possibly curated holdings from other systems (e.g. work platforms) that cannot guarantee permanent availability. The assignment of a DOI, the linking of data authors and datasets with additional identifiers and resources (including ORCIDs, ROR, GND) as well as export and citation functions (such as JSON-LD or BibTeX) are supported. Data sets from researchers at Thuringian universities that have already been published in other subject repositories can be registered in the repository and the metadata transferred.
The service was developed by the Thuringian Competence Network for Research Data Management (TKFDM), the Thuringian Library Service Centre (BSC) and the IT Centre of the Thuringian Universities (HS-ITZ) and funded as part of the strategy for digitization in the higher education sector (2021-2025). Permanent operation is ensured by the participating organizations.
Further information on the service can be found on[nbsp] our activities page on REFODAT.
An initial overview of how the repository works was given in a 30-minute coffee lecture on December 10, 2024. Slides and video recording of this event can be found on the event website. Further introductory events will follow in the course of 2025 and will be announced here and on the TKFDM's event websites.
Are you a member of the University of Erfurt and would like to better manage and process the data in your research or working group?
Benefit from the Data Steward Pilot Project of the Thuringian Competence Network for Research Data Management (TKFDM)!
On the TKFDM website you will find all the information you need on
The Thuringian Competence Network for Research Data Management is presenting the new series of our popular Coffee Lectures in October 2025!
Every month, an event will take place online via Zoom on a Wednesday.
Under the motto Research Tools 4 All: Smart Solutions for Thuringian Scientists, we will introduce you to tools from and for Thuringia that can significantly improve everyday research.
These include AI tools available through HS-ITZ, Galaxy, and eLabFTW.
So grab a cup of tea or coffee and drop by virtually!
It's worth it!
For further information on the topics and registration please refer to the event announcements of the TKFDM.
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University of Erfurt (Campus)
Nordhäuser Str. 63
99089 Erfurt
