Laying the Groundwork for the Future: Creating Tools to Better Harness Metadata and Data Packages

In this repository showdown, I plan to demonstrate various tools I have created to better enhance our metadata and lay the groundwork for our repository's future capabilities. The presentation will cover the following tools: DOI Parser Version 2.0 for DataCite, DCAT-US Version 1.1 Generator, and CSV to Markdown Bulk README Template Converter. The DataCite DOI parser had directly led to more accurate and complete DOI metadata for all our repository's DOIs, utilizing the power of persistent identifiers to create robust linked data. The DCAT-US generator has given researchers the tools they need to make these required metadata files for their data packages. Lastly, the README generator allows researchers, librarians, and catalogers to easily create documentation for their datasets. These tools have significantly improved our metadata for our DOIs and DCAT-US files, and they have also greatly increased the speed and accuracy of creating and managing our DOIs, metadata files, and README files. These tools are open to the public to be interpreted and repurposed for other repositories and users. These tools demonstrate that problems and improvements can be tackled one issue at a time, even if repository integration of these tools is deep into the future.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-16
DOI
https://doi.org/10.5281/zenodo.15758388
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Laying the Groundwork for the Future: Creating Tools to Better Harness Metadata and Data Packages

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Laying the Groundwork for the Future: Creating Tools to Better Harness Metadata and Data Packages

article en

Abstract

In this repository showdown, I plan to demonstrate various tools I have created to better enhance our metadata and lay the groundwork for our repository's future capabilities. The presentation will cover the following tools: DOI Parser Version 2.0 for DataCite, DCAT-US Version 1.1 Generator, and CSV to Markdown Bulk README Template Converter. The DataCite DOI parser had directly led to more accurate and complete DOI metadata for all our repository's DOIs, utilizing the power of persistent identifiers to create robust linked data. The DCAT-US generator has given researchers the tools they need to make these required metadata files for their data packages. Lastly, the README generator allows researchers, librarians, and catalogers to easily create documentation for their datasets. These tools have significantly improved our metadata for our DOIs and DCAT-US files, and they have also greatly increased the speed and accuracy of creating and managing our DOIs, metadata files, and README files. These tools are open to the public to be interpreted and repurposed for other repositories and users. These tools demonstrate that problems and improvements can be tackled one issue at a time, even if repository integration of these tools is deep into the future.

Zenodo (CERN European Organization for Nuclear Research)
National Transportation Research Center (US)
Openalex Percentile: Top 39%
Research Data Management Practices
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