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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