Sign in

GlamMap

Visual analytics for the world’s library data

Today’s libraries provide online access millions of bibliographic records. Librarians and re-searchers require tools that allow them to manage and understand these enormous data sets. Most libraries only offer textual interfaces for searching and browsing their holdings. The re-sulting lists are difficult to navigate and do not allow users to get a general overview. Further-more, data providers such as OCLC (Online Computer Library Center) are trying to enrich bib-liographic databases with semantically meaningful structures which are essentially lost when represented within a list-based interface.

Visualizations provide a means to overcome these difficulties. Graphical representations provide quick access to bibliographic data, facilitate the browsing and identification of relevant metadata, and provide a quick overview of the coverage of libraries. The fields of Information Visualization and Visual Analytics within Computer Science develop computer-supported, in-teractive, visual representations which allow users to extract meaning from large and hetero-geneous data sets. While such visual techniques have become common practice in the sciences, they are little employed by libraries, despite similar increases in available data.

eScience Research Engineers are collaborating with this project team, which aims to develop a cutting-edge visual analytics toolkit, to answer both the pressing needs of humanities researchers and concrete demands of the library industry. The tools will provide visual interfaces for:

The project team will accompany the toolkit development with extensive expert user testing, involving (e-)humanities researchers and the expert user group of OCLC.

Participating organisations

Eindhoven University of Technology
Netherlands eScience Center
Social Sciences & Humanities

Team

Rena Bakhshi
Rena Bakhshi
eScience Coordinator
Netherlands eScience Center
BS
Bettina Speckmann
Principal investigator
Eindhoven University of Technology
TK
Tom Klaver
eScience Research Engineer
Netherlands eScience Center

Related projects

EviDENce

Ego Documents Events modelling – how individuals recall mass violence

Updated 4 months ago
Finished

TICCLAT

Text-induced corpus correction and lexical assessment tool

Updated 3 weeks ago
Finished

Deep learning OCR post-correction

Evaluation and post-correction of OCR of digitised historical newspapers

Updated 23 hours ago
Finished

Algorithmic Geo-visualization

From theory to practice

Updated 4 months ago
Finished

Beyond the Book

Visualizing the level of international readability of works of fiction

Updated 4 months ago
Finished