Abstract
At the trajectory of exponential data growth and FAIR (Findable, Accessible, Interoperable and Re-usable) requirements, organizations face the data management and publishing challenges in support of effective data discovery and publishing activities. This panel brings researchers and practitioners who have researched and practiced in managing datasets and providing discovery services to share their experience and expertise in addressing the challenges and proactively responding to trends in research data management, curation, sharing, and reuse.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 569-571 |
| Number of pages | 3 |
| Journal | Proceedings of the Association for Information Science and Technology |
| Volume | 56 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2019 |
Keywords
- Data curation
- Knowledge representation for data
- Metadata interoperability
- Research Data Management
ASJC Scopus subject areas
- Computer Science(all)
- Library and Information Sciences
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Cite this
Qin, J., Coll, I. S., Zeng, M. L., & Dobreski, B. (2019). Technical and policy underpinnings of FAIR data principles. Proceedings of the Association for Information Science and Technology, 56(1), 569-571. https://doi.org/10.1002/pra2.93