WiSe 2022/23 on HeFDI Data School

Managing qualitative data

Thu, 01 Sep 2022 00:00:00 +0200

In many social science and humanities disciplines, qualitative research data – such as interview transcripts, observation logs, field diaries, documents, or audio and video recordings – play an important role. The openness of qualitative research and the low level of standardisation of research materials also result in specific requirements for research data management. This focus module offers practical recommendations for handling qualitative research data. In addition to an overview, three topics that often raise many questions are dealt with in depth: implementation of informed consent, anonymisation, and documentation/contexts.

Searching for, finding and using research data

Thu, 01 Sep 2022 00:00:00 +0200

One of the most important goals of open access publication of research data is to ensure that this data is prepared in such a way that it can be reused by other researchers as easily as possible. In reality, however, both in the field of economics and in the field of research, much more data is still being generated than is being reused. This is often due to a lack of knowledge about how and where to search for this data. This presentation will therefore show you ways to search for and find existing research data, as well as rules you should follow when reusing research data.

Archiving and publication of research data

Thu, 01 Sep 2022 00:00:00 +0200

A journal publication is often the goal of research work, but the data itself can and should also be published. In the last basic module of the event series, we will discuss how this can be done, what publication options are available, and what needs to be considered. You will gain practical insights through the presentation of individual data repositories for quantitative and qualitative data as well as the test publication of data in a repository. The archiving of research data is also part of good scientific practice. Specifically, we will address the following questions: What do we mean by archiving as opposed to storage and long-term archiving? Where can this be done?

Research data management in third-party funding applications

Thu, 01 Sep 2022 00:00:00 +0200

The unit aims to present the requirements of funding bodies in terms of data management. The experiences of the participants will be taken into account. Participants will gain an overview of the requirements of third-party funding bodies, in particular the DFG. They will be able to contribute their experiences and expectations and reflect on these in relation to the requirements. They will learn where and how they can obtain support.

The Data management plan

Thu, 01 Sep 2022 00:00:00 +0200

Good planning is half the battle! Whether it’s to meet the requirements of research funding bodies or simply to better structure your own working methods, a well-designed data management plan is an integral part of any modern research project. It helps you to consider data types, data processing, storage, data publication, legal issues and other key questions relating to research organisation at an early stage. In this module, you will learn how to create an individual data management plan (DMP) for your research project under guidance. Using tried-and-tested sample plans, you will gain an insight into what elements a data management plan should contain and how you can use the digital DMP tool ‘RDMO’ to write it in a structured and customisable way.

Open Science

Thu, 01 Sep 2022 00:00:00 +0200

Open Science? What is it? And if so, how much openness is good for my science?

Legal issues

Thu, 01 Sep 2022 00:00:00 +0200

The handling of digital research data often raises legal questions. How can I process personal data in a legally compliant manner? Is research data subject to copyright? Who decides whether data can be published? What happens to research data when changing institutions? There are many uncertainties in everyday scientific life, especially when it comes to copyright, data protection, service and liability issues in the context of processing, sharing and publishing research data. During the workshop, we will address these issues through presentations, practical elements and discussion rounds and, if possible, resolve them.

Electronic laboratory notebooks

Mon, 01 Aug 2022 00:00:00 +0200

Laboratory notebooks are part of everyday research life: they contain measurement results, sketches of experimental setups, observations and evaluations, among other things. But what if this data is increasingly digital? Should it be printed out and pasted into the notebook, or is there a better solution? This is where electronic laboratory notebooks (ELNs) come in. They also offer completely new possibilities. There is a wide range of possible solutions with a variety of approaches and functionalities.

Project and data management tools

Mon, 01 Aug 2022 00:00:00 +0200

The right software makes data management easier, especially when a team is working on research data in parallel and collaborative work processes are necessary. This workshop will present examples of tools and methods that can support project and data management while facilitating effective teamwork.

Versioning of research data

Mon, 01 Aug 2022 00:00:00 +0200

Consistent versioning of research data is an important cornerstone of research data management, ensuring the traceability of the provenance of research data. In this presentation, we will explain the basic principles of versioning and show you ways in which you can version your data. In addition to simple versioning methods, we will also introduce you to the version control software ‘Git’ and the web application ‘GitLab’.

Data organisation and documentation

Mon, 01 Aug 2022 00:00:00 +0200

Those who document understand! Do you want your data to be reused later? Do you work in a team? Is your research work likely to be interrupted at some point? Whether for yourself or for others, good organisation and documentation of your research data makes your work easier and increases traceability.

Introduction to Research Data Management (RDM)

Mon, 01 Aug 2022 00:00:00 +0200

In the introductory part of the workshop series, we will show you how you can benefit from professional research data management and good scientific practice throughout the entire life cycle of your research data. You will learn about the range of options available for making your data findable, accessible, interoperable and reusable (FAIR).