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# This CITATION.cff file was generated with cffinit. | ||
# Visit https://bit.ly/cffinit to generate yours today! | ||
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cff-version: 1.2.0 | ||
title: Research Data Management with DataLad | ||
message: >- | ||
If you use these course materials, please cite them using | ||
the metadata from this file. | ||
type: software | ||
authors: | ||
- given-names: Michał | ||
family-names: Szczepanik | ||
orcid: 'https://orcid.org/0000-0002-4028-2087' | ||
- given-names: Adina | ||
family-names: Wagner | ||
- given-names: Stephan | ||
family-names: Heunis | ||
- given-names: Christian | ||
family-names: Mönch | ||
- given-names: Michael | ||
family-names: Hanke | ||
url: 'https://psychoinformatics-de.github.io/rdm-course/' | ||
abstract: >- | ||
The aim of this workshop is to present a set of good | ||
practices in research data management, explain version | ||
control, and to introduce the core features of DataLad | ||
software - a data management multitool that can assist in | ||
handling the entire life cycle of digital objects. We will | ||
tackle issues ranging from “what is a good file name” to | ||
“how to publish a version-controlled dataset”. | ||
The exercises will provide an opportunity to gain hands-on | ||
experience with using DataLad to create a basic dataset, | ||
track its changes over time, and publish its contents. You | ||
will also learn how to use data created by others and | ||
collaborate on datasets. The exercises will be based | ||
around toy examples, but all operations will be relevant | ||
for real-world data management. | ||
keywords: | ||
- research data management | ||
- datalad | ||
license: CC-BY-4.0 |