Data is an essential part of research and therefore invaluable to researchers. Systematic research data management provides support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and the re-use of data.

Secure storage, organization, archiving and sharing of research data are key in this context. This short talk will therefore present the various storage systems at the ZIH (Center for Information Services and High Performance Computing) at TU Dresden. The presentation will look the advantages and disadvantages of the individual systems and how they can support research data management when it comes to data storage, data security, backup, collaborative research and data archiving.

Date: May 8, 2024
Time: 13:00 to 13:45
Location: Digital
Language: German
Target group: Doctoral students

The event takes place in cooperation with the Graduate Academy of the TU Dresden.

Data is an essential part of research and therefore invaluable to researchers. Whether small sample or “Big Data”, research data should be managed thoughtfully and systematically. Systematic research data management provides support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and the re-use of data.

This beginner’s workshop offers an introduction to research data management (RDM), presents the aims of RDM, the FAIR principles and other important terms and methods. Practical information is provided on how doctoral students can quickly take their first steps in RDM, at which points in their daily research practice RDM practices are useful and how checklists can support them.

Using your own data, you will learn how to store and share it securely, name it clearly, structure it and organize it.

Date: May 16, 2024
Time: 09:00 to 12:30
Location: Graduate Academy, Mommsenstraße 7
Language: German
Target group: Doctoral students

The event takes place in cooperation with the Graduate Academy of the TU Dresden.

To comply with good scientific practice, research data and all associated information that allows the reproducibility of research should be securely archived for at least 10 years. In addition, many German research funding institutions and European funding programs now require mandatory information on reuse of the data after completion of the project (subsequent use and data publication).

Consequently, this lecture offers an introduction to the topics of archiving and publishing research data. You will learn what archiving actually means and when data archiving makes sense within your own research practice. You will be shown how data sets can be prepared for archiving and publication and where they can be archived or published.

Date: May 23, 2024
Time: 14:30 to 16:00
Location: Digital
Language: English
Target group: PhD students / postdocs

Please note that this talk will be held in German.

Data is an essential component of research and therefore invaluable for researchers. Whether small samples or ” Big Data” – research data should be handled consciously and systematically. Systematic research data management offers support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and for data re-use.

This presentation (in German) offers solutions to the following questions about RDM and would like to discuss them with you.

• How do you create a joint research data management system in a working group or professorship?
• How can shared data, documents, metadata and documentation be stored, structured and organized securely and comprehensibly?
• How do you maintain motivation in the working group to adhere to agreed RDM processes?

Date: June 04, 2024
Time: 14:30 to 16:00
Location: Digital
Language: German
Target group: Postdocs (working group leader)

The event takes place in cooperation with the Graduate Academy of the TU Dresden.

Data is an essential part of research and therefore invaluable to researchers. Whether small sample or “Big Data”, systematic research data management provides support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and the re-use of data.

An effective approach to ensure the structured handling of data is the creation of a data management plan (DMP). In addition, almost all major funding agencies (DFG, EU, BMBF) require a DMP or a statement on the handling of research data in research proposals or as a deliverable during the project phase.

This talk is primarily aimed at researchers who are planning a research proposal in a collaborative project. We will first introduce the concept of a DMP, the requirements of the funding institutions and what a DMP should contain. We will discuss which points should be agreed in advance with the collaborators in a research project and what needs to be considered when writing DMPs.

Date: June 10, 2024
Time: 16:00 to 17:00
Location: Digital
Language: English
Target group: Postdocs (working group leader)

(please note that this workshop is in German)

Data is an essential part of research and therefore invaluable to researchers. Whether small sample or “Big Data”, research data should be managed thoughtfully and systematically. Systematic research data management provides support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and the re-use of data.

In order to meet these requirements, attention should be paid not only to research data in the strict sense, but also to relevant, contextual metadata.

This workshop offers an advanced course on data documentation and metadata within the context of your own RDM. By means of a playful exercise, different ways of documenting data are introduced, which can then be transferred to your own data. You will learn about different types of metadata and metadata standards and can start to enrich your data with metadata during the workshop.

Bring your own data! This means that you will work directly on your data, documents, folders etc. during the course. Please bring your laptop with you.

Date: June 18, 2024
Time: 09:00 to 12:30
Location: Graduate Academy, Mommsenstr. 7
Language: German
Target group: doctoral students / postdocs

The event takes place in cooperation with the Graduate Academy of the TU Dresden.

Data is an essential part of research and therefore invaluable to researchers. Systematic research data management provides support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and the re-use of data.

Secure storage, organization, archiving and sharing of research data are key in this context. This short talk will therefore present the various storage systems at the ZIH (Department for Information Services and High Performance Computing) at TU Dresden. The presentation will look the advantages and disadvantages of the individual systems and how they can support research data management when it comes to data storage, data security, backup, collaborative research and data archiving.

Date: August 07, 2024
Time: 14:00 to 14:45
Location: Digital
Language: English
Target group: Doctoral students

To comply with good scientific practice, research data and all associated information that allows the reproducibility of research should be securely archived for at least 10 years. In addition, many German research funding institutions and European funding programs now require mandatory information on reuse of the data after completion of the project (subsequent use and data publication).

Consequently, this lecture offers an introduction to the topics of archiving and publishing research data. You will learn what archiving actually means and when data archiving makes sense within your own research practice. You will be shown how data sets can be prepared for archiving and publication and where they can be archived or published.

Date: August 13, 2024
Time: 13:30 to 15:00
Location: Digital
Language: German
Target group: PhD students / postdocs

The event takes place in cooperation with the Graduate Academy of the TU Dresden.

Data is an essential part of research and therefore invaluable to researchers. Whether small sample or “Big Data”, systematic research data management provides support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and the re-use of data.

An effective approach to ensure the structured handling of data is the creation of a data management plan (DMP). In addition, almost all major funding agencies (DFG, EU, BMBF) require a DMP or a statement on the handling of research data in research proposals or as a deliverable during the project phase.

This talk is primarily aimed at researchers who are planning a research proposal in a collaborative project. We will first introduce the concept of a DMP, the requirements of the funding institutions and what a DMP should contain. We will discuss which points should be agreed in advance with the collaborators in a research project and what needs to be considered when writing DMPs.

Date: August 19, 2024
Time: 16:00 to 17:00
Location: Digital
Language: English
Target group: Postdocs

The event takes place in cooperation with the Graduate Academy of the TU Dresden.

To comply with good scientific practice, research data and all associated information that allows the reproducibility of research should be securely archived for at least 10 years. In addition, many German research funding institutions and European funding programs now require mandatory information on reuse of the data after completion of the project (subsequent use and data publication).

The interdisciplinary repository Zenodo (https://zenodo.org/) provides an appropriate platform for this. Zenodo is provided by CERN and is an open repository for storing data sets, documents and other research materials. Zenodo enables the permanent storage, retrievability, accessibility and reusability of research data and thus fulfills the requirements of the funding institutions.

In this workshop, the registration, function and use of Zenodo will be explained. An example dataset will be used to demonstrate how to upload a dataset to Zenodo. The assignment of meaningful metadata, which is crucial for the findability of research data, will be discussed. The possibility of reusing your data is increased with good documentation of the data. The relevance of good documentation and metadata will be illustrated in short, practical exercises.

Date: August 27, 2024
Time: 14:00 to 15:30
Location: Digital
Language: German
Target group: PhD students / postdocs

The event takes place in cooperation with the Graduate Academy of the TU Dresden.

Data is an essential component of research and therefore invaluable for researchers. Whether small samples or ” Big Data” – research data should be handled consciously and systematically. Systematic research data management offers support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and for data re-use.

This presentation (in German) offers solutions to the following questions about RDM and would like to discuss them with you.

• How do you create a joint research data management system in a working group or professorship?
• How can shared data, documents, metadata and documentation be stored, structured and organized securely and comprehensibly?
• How do you maintain motivation in the working group to adhere to agreed RDM processes?

The presentation is aimed at those responsible for RDM as well as research group leaders.

Date: September 02, 2024
Time: 14:50 to 16:20
Location: Digital
Language: English
Target group: Postdocs (working group leader)

Data is an essential part of research and therefore invaluable to researchers. Whether small sample or “Big Data”, research data should be managed thoughtfully and systematically. Systematic research data management provides support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and the re-use of data.

In order to meet these requirements, attention should be paid not only to research data in the strict sense, but also to relevant, contextual metadata.

This workshop offers an advanced course on data documentation and metadata within the context of your own RDM. By means of a playful exercise, different ways of documenting data are introduced, which can then be transferred to your own data. You will learn about different types of metadata and metadata standards and can start to enrich your data with metadata during the workshop.

Bring your own data! This means that you will work directly on your data, documents, folders etc. during the course. Please bring your laptop with you.

Date: September 13, 2024
Time: 09:30 to 13:00
Location: SLUB Open Science Lab, Zellescher Weg 25
Language: English
Target group: PhD students / postdocs

In order to comply with good scientific practice, research data and all associated information that enables the reproducibility of the research should be securely archived for at least 10 years. In addition, many German research funding institutions and European funding programs require mandatory information on the further use or exploitation of the data after completion of the project (subsequent use and data publication).

One way to fulfill these requirements is to archive and/or publish your research data in the TU’s own repository OPARA (https://opara.zih.tu-dresden.de).  In this lecture, after a brief introduction to the concepts of archiving and publication, OPARA will be presented and you will learn how to use the repository for your research data.

Date: September 19, 2024
Time: 09:30 to 11:00 a.m.
Location: Digital
Language: German
Target group: PhD students / postdocs

The event takes place in cooperation with the Graduate Academy of the TU Dresden.

Research data is the basis of research results and it is increasingly becoming part of good scientific practice to make this important information available to other researchers and the public (data publication). In addition, many German research funding institutions and European funding programs now require mandatory information on the further use or exploitation of the data after completion of the project. On the one hand, this serves the subsequent use by others, but also the traceability of the published research results. Defining the legal conditions for the publication of research data is necessary in order to enable clearly specified subsequent use.

Creative Commons licenses offer such a regulated framework and are now widely used not only for image and text publications but also for the publication of research data. This presentation will cover the basics of these free licenses, their use in the context of copyright law and their various areas of application. You will also learn how to determine the reuse options for your published materials and what you need to consider.

Date: September 26, 2024
Time: 14:00 to 15:00
Location: Digital
Language: German
Target group: PhD students / postdocs

The event takes place in cooperation with the Graduate Academy of the TU Dresden.