**MetaDatabaseAnalyzer** is a Python-based Jupyter Notebook designed to evaluate the quality and compliance of metadata within a SQLite database. The SQLite database is assumed to have been created using the [DatabaseCreator ](https://gitlab.ruhr-uni-bochum.de/sfb1280/DatabaseCreate) and to include metadata following the specification of the [SFB 1280 "Extinction Learning"](https://sfb1280.ruhr-uni-bochum.de/). For more information about the SFB metadata, please review this [Wiki](https://gitlab.ruhr-uni-bochum.de/sfb1280/metaapp_2/-/wikis/home).
**MetaDatabaseAnalyzer** is a Python-based Jupyter Notebook designed to evaluate the quality and compliance of metadata within a SQLite database and thus a tool for data curation. The SQLite database is assumed to have been created using the [DatabaseCreator ](https://gitlab.ruhr-uni-bochum.de/sfb1280/DatabaseCreate) and to include metadata following the specification of the [SFB 1280 "Extinction Learning"](https://sfb1280.ruhr-uni-bochum.de/). For more information about the SFB metadata, please review this [Wiki](https://gitlab.ruhr-uni-bochum.de/sfb1280/metaapp_2/-/wikis/home).
The **MetaDatabaseAnalyzer** checks metadata in the database against CRC standards, focusing on completeness, adherence to controlled vocabularies, and the accuracy of mappings to DataCite and Dublin Core standards.
...
...
@@ -53,4 +53,4 @@ If you have any questions about the MetaDatabaseAnalyzer, or if you have feature
## Acknowledgements
This project was developed as part of the final thesis work in the [Data Librarian course at TH Köln](https://www.th-koeln.de/weiterbildung/zertifikatskurs-data-librarian_63393.php), funded by SFB 1280. It builds on the substantial work undertaken within the SFB 1280 INF project, supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, project number 316803389).
I would like to thank the principal investigators of the SFB's [INF project](https://sfb1280.ruhr-uni-bochum.de/en/research/projects/inf/) Tobias Otto and Nina Winter for their guidance and encouragement throughout this work. Special thanks are due to Prof. Dr. Dr. h.c. Onur Güntürkün, the speaker of CRC 1280, for his leadership and approval of this work. ChatGPT assisted with debugging and scripting in the Jupyter notebook.
\ No newline at end of file
I would like to thank the principal investigators of the SFB's [INF project](https://sfb1280.ruhr-uni-bochum.de/en/research/projects/inf/) Tobias Otto and Nina Winter for their guidance and encouragement throughout this work. Special thanks are due to Prof. Dr. Dr. h.c. Onur Güntürkün, the speaker of CRC 1280, for his leadership and approval of this work. ChatGPT assisted with debugging and scripting in the Jupyter notebook.
