CRC1211DB & TRR228DB: An RDM solution built to last
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Citation
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Identification
| Title: | Main Title: CRC1211DB & TRR228DB: An RDM solution built to last |
| Description: | Abstract: This poster was presented at the SFB-INF Workshop „Let‘s share! Gute Praktiken und Fallstricke im Datenmanagement in SFBs und Forschungsgruppen“. Effective research data management (RDM) in a controlled and structured manner is crucial for interdisciplinary and long-term research projects, requiring robust solutions for diverse datasets. This poster showcases an RDM infrastructure that is currently running successfully in two current DFG funded interdisciplinary research projects (CRC1211 and CRC/TRR228) and has been continuously developed for more than 17 years. Initially established in 2007 within the TR32 project, the RDM experiences gathered from this project have been adapted and further developed within the Z02-(INF) subprojects of the CRC1211 and CRC/TRR228. Our established database systems, the TRR228DB (https://www.trr228db.uni-koeln.de) and CRC1211DB (https://www.crc1211db.uni-koeln.de) serve as central data repository platforms in both projects. They operate independently on a mostly identical and in-house developed codebase, based on a backend PHP server and a MariaDB database. Our RDM infrastructure offers centralized data storage, backup, visualization, DOI application, and data search functionalities. All stored project data is linked with corresponding metadata compatible with common standards like DataCite. Despite core features being implemented 17 years ago, the development of the RDM system is still ongoing to add new functionalities and update outdated ones. This ensures that the RDM system remains effective and up-to-date, supporting the dynamic needs of the research projects. |
Responsible Party
| Creators: | Tanja Kramm (Author), Vincent Feldmar (Author), Georg Bareth (Author) |
| Funding References: | Deutsche Forschungsgemeinschaft (DFG): CRC 1211: Earth - Evolution at the Dry Limit Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 228: Future Rural Africa: Future-making and social-ecological transformation |
| Publisher: | CRC1211 Database (CRC1211DB) |
| Publication Year: | 2024 |
Topic
| CRC1211 Topic: | Remote Sensing |
| Related Subproject: | Z2 |
| Subjects: | Keywords: Data Management, Research Data Management , Data Storage, Metadata, Database |
File Details
| Filename: | CRC1211DB_TRR228DB_SFBInfWS2024_Poster.pdf |
| Data Type: | Text - Poster |
| File Size: | 2.3 MB |
| Date: | Available: 02.12.2024 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Free |
| General Access and Use Conditions: | According to the CRC1211DB data policy agreement. |
| Access Limitations: | According to the CRC1211DB data policy agreement. |
| Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Specific Information - Presentation
| Presenter: | Tanja Kramm & Vincent Feldmar |
| Presentation Date: | 2nd of December, 2024 |
| Presentation Type: | Poster |
| Event: | SFB-INF Workshop „Let‘s share! Gute Praktiken und Fallstricke im Datenmanagement in SFBs und Forschungsgruppen“ |
| Event Type: | Workshop |
| Event Location: | Cologne, Germany |
| Event Duration: | 2nd of December, 2024 - 3rd of December, 2024 |
| Event Website: | https://dini.de/veranstaltungen/workshops/sfb-inf-workshop-2024 |
Metadata Details
| Metadata Creator: | Tanja Kramm |
| Metadata Created: | 30.12.2024 |
| Metadata Last Updated: | 30.12.2024 |
| Subproject: | Z2 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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Dataset Statistics
| Page Visits: | 9 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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By downloading this dataset you accept the license terms of [Creative Commons] Attribution 4.0 International (CC BY 4.0) and CRC1211DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
