New Developments in Using, Sharing, and Re-using Metadata |
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| Coordinator 1 | Mr Knut Wenzig (DIW Berlin/SOEP) |
| Coordinator 2 | Mr Daniel Bela (LIfBi) |
| Coordinator 3 | Dr Arne Bethmann (SHARE Germany and SHARE Berlin Institute) |
Metadata systems have evolved from passive documentation tools into active drivers of data management and utilization. This session explores recent advancements that enhance the use, sharing, and re-use of metadata across the data lifecycle, emphasizing innovative methods that improve data quality, interoperability, and efficiency.
With machine-readable metadata, processes like survey instrument generation, data validation, and preparation are increasingly automated, reducing errors and enhancing data-driven decision-making. Metadata systems are becoming essential components in not just documenting data, but actively shaping and streamlining the entire data lifecycle.
We invite papers that highlight:
- Innovative Uses: Examples of how metadata systems are leveraged for automation and optimization in data collection, processing, and analysis.
- Interoperability: Experiences with implementing metadata standards (e.g., DDI, SDMX) to facilitate sharing and re-use across different systems and institutions.
- Collaborative Platforms: Case studies on platforms that support community-driven creation, sharing, and re-use of metadata.
- FAIR Principles: Approaches that ensure metadata adheres to the FAIR (Findable, Accessible, Interoperable, Reusable) principles.
- Future Directions: Emerging technologies, such as AI and machine learning, that could revolutionize metadata use.
This session aims to provide a comprehensive overview of current trends and future directions in metadata management. We seek presentations that not only showcase technological advancements but also discuss the practical challenges and lessons learned in implementing these innovations. By bringing together researchers, data managers, and technologists, this session will foster a rich exchange of ideas on how new developments in metadata can lead to more effective and insightful data management practices.