Data Collections Explorer

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Detailed description of the service 

The Data Collections Explorer is an easy-to-use information system for the engineering community. It is a low threshold information that provides an overview of research data repositories, archives, databases, as well as datasets published individually by research groups.

Due to its low barrier of entry, the Data Collections Explorer facilitates easy sharing and discovering of repositories as well as datasets. Furthermore, scientists can get a quick overview of the most important facts about services and datasets, such as access rights and usage restrictions. Typical use cases include the following scenarios:

– Scientists searching for data sets: are there data sets available to aid in my research? Are there benchmarks available to check my results? Are these data sets available under an open access license? Are there usage or access restrictions?

– Scientists aiming to publish datasets: among community-specific repositories, which ones are suitable to publish my research data? Do repositories restrict the size of the datasets that can be uploaded, and if so, what are the limits? Is there any publication fee charged and if so, how much is it?

To answer these questions, the Data Collections Explorer provides a tabular overview with a free text search and filters for type of service, subject area, and license. Wherever appropriate and available, information on data size limits and publishing fees are given. Updates to the content are mostly initiated by scientist, therefore ensuring the service fits their needs.

Individual datasets, i.e. from the engineering sciences, are listed only if they are published outside the established infrastructure. Other services, such as repositories, databases, and archives, are listed irrespective of whether the operator is an individual, a community or a legal entity.

In addition, all information can be queried via SPARQL, which allows machine accessibility and enables integration with other RDM projects.

Terms of use & restrictions

No registration is required, the service is provided free of charge.

https://www.scc.kit.edu/en/legals.php

Contact 

Philipp Ost, philipp.ost@kit.edu

References

publications that reference (or report on using) the service

  • Ost, P. (2022). Data Collections Explorer. Helmholtz Metadata Collaboration | Conference 2022, Online. Zenodo. https://doi.org/10.5445/IR/1000151429

  • Ost, P., Stotzka, R. (2023). Data Collections Explorer – An Information System for the Engineering Sciences. https://doi.org/10.5445/IR/1000160844

  • Ost, P., Shakeel, Y., & Tögel, P. (2023, September 15). Data Collections Explorer – An Easy-to-Use Tool for Sharing and Discovering Research Data. 1st Conference on Research Data Infrastructure (CoRDI), Karlsruhe, Germany. Zenodo. https://doi.org/10.5445/IR/1000162286

 

#WhyNFDI

 

Miscellaneous
  • https://kit-data-manager.github.io/webpage/dce/index.html

  • https://github.com/kit-data-manager/Data-Collections-Explorer

  • https://github.com/kit-data-manager/Data-Collections-Explorer-Graph

To get new entries added, please either contact me directly via email or open an issue on GitHub at https://github.com/kit-data-manager/Data-Collections-Explorer/issues.

Tags

NFDI4ING services may be relevant to different users according to varying requirements. To support filtering or sorting, we added a tag system outlining which archetype, phase of the data lifecycle, or degree of maturity a service corresponds to. By clicking on one of the tags below, you can get an overview of all services aligned with each tag.

This service has the following tags:

The tags correspond to:
The Archetypes: Services relevant to Alex – Bespoke Experiments, Betty – Research Software Engineering, Caden – Provenance Tracking, Doris – High Performance Computing, Ellen – Complex Systems, Fiona – Data Re-Use and Enrichment

The data lifecycle: Services related to Informing & Planning, Organising & Processing, Describing & Documenting, Storing & Computing,
Finding & Re-Using, Learning & Teaching

The maturity of the service: Services sorted according to their maturity and status of their integration into the larger NFDI service landscape. For this we use the Integration Readiness Level (IRL), ranging from IRL0 (no specifications, strictly internal use) up to IRL4 (fully integrated in the German research data landscape and the EOSC). Click here for a diagram outlining all Integration Readiness Levels.