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Chapter 9. Metadata Research Landscape

Chapter 9 section titles

9.1 Overview
9.2 Research in Metadata Architecture
9.3 Research in Metadata Modeling
9.4 Research in Metadata Semantics
9.5 Metadata and Data-Driven X
9.6 Metadata Research Landscape: Conclusions

Links to sources

The star* = newly updated* or added**

* Proceedings of the DCMI Annual International Conference, 2000−2019

Exercises

Select a research topic from table 9-1-1 and write a review of the literature and/
or related projects.

Readings

Berners-Lee, Tim. 1997. Metadata Architecture. http://www.w3.org/DesignIssues/Metadata.html.

Gold, Anna. 2007a. "Cyberinfrastructure, Data, and Libraries, Part I: A Cyberinfrastructure
Primer for Librarians." D-Lib Magazine 13 (9/10). http://www.dlib.org/dlib/september07/gold/09gold-pt1.html.

Gold, Anna. 2007b. "Cyberinfrastructure, Data, and Libraries, Part II: Libraries and
the Data Challenge: Roles and Actions for Libraries." D-Lib Magazine 13
(9/10). http://www.dlib.org/dlib/september07/gold/09gold-pt2.html.

Schöch, Christof. 2013. "Big? Smart? Clean? Messy? Data in the Humanities."
Journal of Digital Humanities 2 (3). http://journalofdigitalhumanities.org/2-3/
big-smart-clean-messy-data-in-the-humanities/.

Takeaways

Metadata creation has become
more distributed, participatory, and diversified
in methods, practices, and tools.

 

As digital information (and environments) evolves and methods and technologies for metadata development are being improved, opportunities have also been created for new research in metadata.

 

Current developments in
cyberinfrastructure and data-driven x
are presenting
new opportunities for metadata
in both research and applications.

 

Metadata evaluation,
especially on a larger scale and with a focus on use and usefulness,
has yet to catch up to the pace of metadata development.