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

 

 

Sebastian Frericks

Research Fellow

Hainstraße 11
04109 Leipzig

Phone: +49 341 97-33435
Fax: +49 341 97-33399

Dr Stefan Kühne

Research Fellow/Head of Research and Development

Abteilung Forschung und Entwicklung
Augustusplatz 10
04109 Leipzig

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

  • 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

Due to the coronavirus situation, we are currently offering some of our services online. You are welcome to take part in our virtual workshops and browse the presentations and documents we have uploaded on the subject of research data management:
Presentations and documents 

Please note that all of the workshops presented below are held in German.

Our courses on Insights into Research Data Management will introduce you to various aspects of data handling in everyday academia, answer your questions, and invite you to share your own thoughts.

The courses are held online several times during the semester, on Tuesdays from 2pm until 3pm. The next dates can be found at the end of the course descriptions.

1. How am I supposed to find my way through this data chaos? Practical tips for sustainable data management

How can I deal with digital research data efficiently? What steps should I consider and how do I implement it practically? Who will support me in case of difficulties?

Whether you are working alone or together on a research project, efficient handling of your data makes everyday research easier. Research data management is also an essential part of applying for funding as well as good scientific practice. In our current episode of "Insights into Research Data Management", we clarify basic questions and show you practical solutions. Afterwards, you will have the opportunity to discuss and ask questions.

Speaker is Pia Voigt.
Language: German

Date: February 16, 2021
Time: 2 to 3 p.m.
Room: Big Blue Button, access code 756648

2. Technical solutions and services in research data management

How can the handling of digital data be supported technically? Which solutions can be used? What support does Leipzig University offer in research data management?

Steadily increasing data volumes and ever higher demands on data processing are becoming more and more of a priority in research. Particularly from the technical side, these changes mean new challenges that must be met with new solutions. For this reason, the second episode of the series "Insights into Research Data Management" deals with the technical aspects of good data management.

The speaker is Sebastian Frericks.

Date: March 09, 2021
Time: 2 to 3 p.m.
Room: Big Blue Button, access code 756648

3. Publishing data: Why, where and how?

Which data from my research can, may and should I publish? How do I find a suitable place for it? And what is the use of all my efforts?

We offer information and food for thought on these and other questions in the third installment of our "Insights into Research Data Management" series. We want to give you practical advice and highlight the value of collaborative research and shared data repositories. In addition, the event offers plenty of space for your questions and suggestions.

Speakers are Dr. Stephan Wünsche and Pia Voigt.

Language: German


Date: April 20, 2021
Time: 2 to 3 p.m.
Room: Big Blue Button, access code 756648

Downloadable material

4. Can I publish this? Legal issues in the handling of research data

Who owns research data? Under what legal conditions may I archive or publish my research data? Who is allowed to use my research data?

Legal issues in research data management often concern copyright. We briefly introduce you to the relevant basics and explain what you should pay attention to before publishing research data or using it for other purposes. We also consider the topic in the context of good research practice. There is then time for you to answer questions and share your own experiences.

This course is run by Dr Stephan Wünsche and Pia Voigt.

Language: German

Date: May 11th, 2021
Time: 2pm until 3pm
Room: Big Blue Button, access code 756648

  • Dates:
  • 31 November 2020 and 7 December 2020; 13 January 2021 and 20 January 2021; and 23 March 2021 and 30 March 2021
  • The workshop consists of two consecutive parts and takes place from 1pm until 2.30pm (part 1) and 1pm until 3pm (part 2). Please register through the Competence School at the Research Academy Leipzig.
  • Location:
    Online; access data to the virtual classroom will be provided after registration.

What is a data management plan? Which requirements should I observe? How do I create one for my research project and what tools are useful for this?

Research funding bodies have increasingly high demands when it comes to data management. Many require a data management plan. The DFG, BMBF and the EU expect different information about the collection, storage and publication of project-related research data. In this course, what at first seems confusing and overwhelming is made manageable by means of a basic theoretical introduction and practical examples in the first part of the workshop. You will learn more about the requirements of different research funding bodies, what elements a data management plan should contain, and how to create one yourself using interactive tools.

In the practical second part of the workshop, we will evaluate your data management plans, provide further tips and suggestions, and have plenty of time for discussion.

Further information and registration via the Research Academy Leipzig:

Learn more

Guide to data management plans

Due to the coronavirus pandemic, this workshop will not be offered as a face-to-face format until further notice. Please use the downloadable material provided on Zenodo and contact us if you have any questions.

Send email

New dates for 2021:
13 April 2021 and 22 June 2021, each from 9am until 3.30pm
Please register through the Competence School at the Research Academy Leipzig.

 

Online Material

We have published the content of this workshop online, meaning you can also work through it independently. The presentation for our Crash Course in Research Data Management offers an introduction to all relevant areas of research data management at Leipzig University, from the basics of research data management, to technical, ethical and legal aspects and archiving and publication of research data.

We have also prepared a series of exercises to help you consolidate what you learn and apply to your own research activities.

Virtual crash course

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