<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>TIB</dc:contributor>
  <dc:creator>Philipp D. Rohde</dc:creator>
  <dc:creator>Enrique Iglesias</dc:creator>
  <dc:date>2025-12-13</dc:date>
  <dc:description>The metadata of energy-related datasets from the following repositories is used in this multi-repository assessment of conformance of metadata with [OEMetadata v2](https://github.com/OpenEnergyPlatform/oemetadata):&#13;
&#13;
- Energy Data eXchange: https://edx.netl.doe.gov/&#13;
- EU Open Data Portal: https://data.europa.eu/data/datasets&#13;
- Eurostat: https://ec.europa.eu/eurostat&#13;
- FfE Open Data Portal: https://opendata.ffe.de/&#13;
- Inspire-HEP: https://inspirehep.net&#13;
- Open Energy Data Initiative: https://data.openei.org/&#13;
- Open Energy Platform: https://openenergyplatform.org/database/&#13;
- OpenAIRE: https://explore.openaire.eu/&#13;
- Open Power System Data (OPSD): https://open-power-system-data.org/&#13;
- Open Access Power-Grid Frequency Database: https://osf.io/m43tg/&#13;
&#13;
Unfortunately, we cannot share the scripts that we used for downloading the metadata from these repositories.&#13;
However, we are sharing our preprocessing scripts for the repositories which needed preprocessing before mapping them to OEMetadata.&#13;
These scripts would be executed directly after retrieving the metadata from the repository.&#13;
&#13;
In order to map the raw metadata (see `metadata_raw`) to the OEMetadata, execute&#13;
&#13;
```bash&#13;
pip install -r requirements.txt&#13;
python parser.py&#13;
```&#13;
&#13;
The transformed metadata is then stored in a directory called `metadata_mapped`.&#13;
To fix some reporting issues with nested fields, execute the cleanup script for the OEP:&#13;
&#13;
```bash&#13;
python cleanup_oep.py&#13;
```&#13;
&#13;
Now you are ready to reproduce our report by running&#13;
&#13;
```bash&#13;
python report.py&#13;
```&#13;
&#13;
The reports for each of the repositories is then stored in the directory `report`.</dc:description>
  <dc:format>ZIP</dc:format>
  <dc:identifier>https://service.tib.eu/dataset/multi-repository-metadata-assessment</dc:identifier>
  <dc:identifier>10.71694/4tut8jmy</dc:identifier>
  <dc:language>en</dc:language>
  <dc:rights>License not specified</dc:rights>
  <dc:subject>Metadata Quality</dc:subject>
  <dc:subject>OEMetadata</dc:subject>
  <dc:title>Multi-Repository Metadata Assessment</dc:title>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
