Research data is the name given to data that is generated during a research process or is part of the research results. Handling research data in a sustainable and open way promotes the transparency, reproducibility and reuse of results and plays a role in safeguarding good academic practice. Responsible research data management is therefore beneficial to both researchers and potential subsequent users, making a significant contribution to the acquisition and dissemination of research insights.

What is Research Data?

As a researcher, you use data for your work or produce your own data, from which you derive your research findings. Measurement results, text editions, results from surveys, databases, field notes, software – research data is just as varied as the academic disciplines and methods in which it is generated. You should use secure technology to store your research data in the long term, making sure that you comply with data protection regulations. It is up to you as the expert to decide which of your digital materials and data are suitable for long-term storage – regardless of whether you intend to publish them.

Why Publish Research Data?

  • Publishing research data improves your eligibility for funding. Unless there are important reasons against doing so, many external funding bodies now expect their scholars to publish research data.
  • You boost your international visibility and reputation. Data publications can play an important part in your individual performance as a researcher. Provided with a permanent identifier such as DOI (digital object identifier), they appear on publication lists and can be cited.
  • Some scientific journals accept articles only if you also publish the corresponding data.
  • It makes your research transparent and reproducible: it allows other researchers to understand the research process and verify your results. Other researchers can make use of your data. They cite your research results and can arrive at interesting new conclusions.

Why Research Data Management?

Appropriate handling of research data is an important mark of quality in your academic work. The guidelines issued by funding organisations and rules governing good academic practice enforce a systematic and sustainable handling of research data.

The four FAIR Principles can serve as a guideline:

  • Findable
  • Accessible
  • Interoperable
  • Reusable

Only by storing research data in a structured way and with metadata can it be retrieved and used by others.

National Research Data Infrastructure

Germany is currently establishing a coordinated nationwide infrastructure for research data. The National Research Data Infrastructure (NFDI) aims to systematically manage, standardise and secure research data stocks in the long term and make them available for subsequent use. NDFI consortia bring together experts from academia, infrastructure facilities and specialist associations. An NFDI directorate will be responsible for pooling and coordinating the new network of NFDI consortia. The German Research Foundation is creating the NFDI in stages in three rounds of calls for proposals. Driven by the scientific community and users, consortia have already formed for a wide range of disciplines and published letters of intent for proposal submissions. On 26th June 2020 the Joint Science Conference (GWK) made its final funding decisions in the first round of the NFDI.

Research Data Management Service

We offer you both individual advice and subject-specific information events on the subject of research data – please contact us for more details.

Due to the coronavirus situation, we are currently offering consultations by email, phone and using virtual conferencing tools. We have also compiled external pages with information on various aspects of research data management.

Our Service:

  • Initial information: what is meant by research data?
  • Why should I secure and publish my research data?
  • What are the FAIR Principles and why should I adhere to them?
  • Guidelines from funding bodies on how to handle research data
  • Preparation of data management plans
  • Training and information events



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Pia Voigt

Research Data Management Coordinator

Ritterstraße 26
04109 Leipzig

Phone: +49 341 97-35075
Fax: +49 341 97-35009

Dr Barbara Weiner

Dr Barbara Weiner

Research Service Adviser

Ritterstraße 26
04109 Leipzig

Phone: +49 341 97-35071
Fax: +49 341 97-35009

  • Organisation of data workflows, data integration, data quality
  • Storage, backup, archiving
  • Data protection and data security
  • Handling of extensive, scattered, heterogeneous data
  • Specific analysis options for graph-based data, time series data, textual data



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Dr Stefan Kühne

Research Assistant and Head of Research and Development

Augustusplatz 10
04109 Leipzig

Phone: +49 341 97-33303
Fax: +49 341 97-33399

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Sebastian Frericks

Research Fellow

Hainstraße 11
04109 Leipzig

Phone: +49 341 97-33435

  • Repositories and identifiers: where can I publish my data so that colleagues can find it and it is always available for citation?
  • FAIR Principles: how do I structure data and metadata in such a way that it is findable, accessible, interoperable and reusable?
  • Copyright and data protection: which data am I allowed to publish and under which conditions?
  • Licences: which rights of use do I want to grant?
  • Subsequent use: where do I find research data in my subject and how do I cite it?



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Dr Stephan Wünsche

Research Data and Research Information Officer

Bibliotheca Albertina
Beethovenstraße 6
04107 Leipzig

Phone: +49 341 97-30564

External Sources of Information:

  • comprehensive information about research data management, developed from the Baden-Württemberg project bwFDM-Info
  • FDM-HU Berlin: structured, detailed information about FDM at the Humboldt University of Berlin
  • Research data management e-learning platform: E-learning platform for research data management offered by the University of Applied Sciences of the Grisons and the Geneva School of Economics and Management (basic, advanced and didactic modules)
  • Lecture2Go Uni Hamburg: video tutorials on all aspects of research data management and open science
  • OpenAIRE: training, information material and services on the subject of open science and research data, Europe-wide
  • Re3data: global registry of research data repositories, searchable by subject area
  • Creative Commons: licences for the legally compliant publication of research data
  • GO FAIR: FAIR principles as a guideline for the publication of research data
  • Zenodo: Generic repository for publications of all kinds. Zenodo is hosted at CERN, with automatic DOI assignment.

An overview of subject-specific information is available at You can find some examples here:

We would be happy to discuss further suggestions and experiences with the topic of research data management in the disciplines of physics, chemistry, theology, computer science, mathematics and philosophy with you.
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The German Federal Ministry of Education and Research (BMBF) has no general specifications on research data management. Please refer to the respective funding guidelines in your application for specific requirements.

  • Digital Curation Centre(DCC): information in English about creating data management plans, sample DMPs, checklists, online tool
  • DMPonline: highly detailed, practical tool from the Digital Curation Centre for creating data management plans
  • Research Data Management Organiser (RDMO): tool for creating data management plans, integrated templates (such as DFG, BMBF, Horizon 2020), versioning, individually adaptable question and answer catalogues, role assignment within the project group
  • HU Berlin: information and online tutorial for creating DMPs provided by the Humboldt University of Berlin, sample DMPs, checklists

Events and News

Date: 22 June 2020

Time: 9am–1pm
Location: Research Academy Leipzig

This interactive course will teach you how to use, create and manage a data management plan.

Further information and registration via the Research Academy Leipzig:

Learn more

The Stifterverband presents the Open Data Award to provide an incentive for good innovative research data management. Applications are open to researchers of all disciplines, including research groups, who have made their research data available and who have enabled and developed an innovative re-use outside the scientific community. The award is worth a total of 30,000 euros and is divided among three prize winners.

The deadline for applications is 30 June 2020.

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“Have my field notes been backed up?” – “What do others need to know about my interviews in order to use the transcripts for their own research?” These and similar questions were asked by students in a seminar at our university’s Department of Anthropology. In the course Transition Towns & Visuelle Ethnographie, led by Christian Löffelsender and Carola Mohn, one session was devoted to the subject of research data.

Blog post

On 19 September 2019, the Saxon State and University Library Dresden (SLUB) hosted Saxony’s first research data management conference, which was entitled “Research Data in Saxony: Planning – Organisation – Reuse”. In addition to presenting and discussing best practice examples, the event focused on knowledge transfer between Saxon research and cultural institutions.

Event website

SaxFDM is an initiative of Saxon higher education and research institutions for networking, cooperation and coordination of activities involving research data management.

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