Published February 20, 2023 | Version v1
Dataset Open

How to choose a research data repository software? Experience report. Table of requirements.

Creators

  • 1. High-Performance Computing Center Stuttgart (HLRS), University of Stuttgart
  • 2. German Literature Archive Marbach (DLA)
  • 3. Institute for Natural Language Processing at the University of Stuttgart (IMS)
  • 4. Institute for Literary Studies / Department of Digital Humanities at the University of Stuttgart (ILW)

Description

In the age of digital transformation, scientific and social interest for data and data products is constantly on the rise. The quantity as well as the variety of digital research data is increasing significantly. This raises the question about the governance of this data. For example, how to store the data so that it is presented transparently, freely accessible and subsequently available for re-use in the context of good scientific practice. Research data repositories provide solutions to these issues.

Considering the variety of repository software, it is sometimes difficult to identify a fitting solution for a specific use case. For this purpose a detailed analysis of existing software is needed. Presented table of requirements can serve as a starting point and decision-making guide for choosing the most suitable for your purposes repository software. This table is dealing as a supplementary material for the paper "How to choose a research data repository software? Experience report." (persistent identifier to the paper will be added as soon as paper is published).

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