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HeFDI Data OER – Learning Module

Quelle: Colourbox

Digitalization is also changing university teaching. Traditional face-to-face courses are increasingly being supplemented by hybrid or fully online formats and Massive Open Online Courses (MOOCs). This is also the starting point for the HeFDI Data OER offering, as part of which the learning module "Research data management - an online introduction" was developed. It is aimed at students, doctoral candidates and researchers who are looking for an initial, easy-to-understand introduction to research data management (RDM).

In nine comprehensible chapters, it focuses on:

  1. Introduction of important terms and topics
  2. The life cycle of research data
  3. Data management plans
  4. Data documentation via metadata
  5. The implementation of the FAIR principles
  6. Aspects of data quality
  7. Data organization
  8. Data storage, archiving and publication
  9. Legal aspects

It has a modular structure and can therefore be used both as a whole and in a targeted manner to build up skills. The content is conveyed in multimedia form via text passages, tables, images, graphics and videos. Summarizing PDFs as handouts and test questions for each chapter round off the offer. This enables students, doctoral candidates and researchers to study the material at any time and from anywhere. 

The learning can also be used in university teaching, i. e. as an online course to acquire microcredentials. Furthermore, the materials can be integrated into existing courses and can also be used in blended learning scenarios (such as flipped classroom etc.). The implementation on the common learning platforms Moodle and Ilias guarantees a wide distribution within and outside Hessen. The learning module is implemented at all HeFDI universities

The import files for Moodle and Ilias as well as comprehensive documentation materials are published as Open Educational Resources on Zenodo (de | en) and listed in the OER Späti of the HessenHub.

With the learning module developed by HeFDI, RDM and data literacy can be easily integrated into the universities' teaching portfolio and the data stewards of tomorrow can be trained at an early stage of their career.

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