Open Access

Smart Data for Digital Humanities

Marcia Lei Zeng

Marcia Lei Zeng

School of Library & Information Science, Kent State UniversityKent, United States of America
Search for this author on
Sciendo|Google Scholar
Zeng, Marcia Lei
  
Feb 18, 2017
Smart Data for Digital Humanities's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Article Category: Perspective
Published Online: Feb 18, 2017
Page range: 1 - 12
Received: Jan 13, 2017
Accepted: Jan 16, 2017
DOI: https://doi.org/10.1515/jdis-2017-0001
Keywords
© 2017 Marcia Lei Zeng
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
undefined

Figure 1

Big Data and Smart Data.
Big Data and Smart Data.

Figure 2

Smart Data Conference 2017 tracks, including combined co-tracks (marked by arrows). Source: Compiled according to the program at http://smartdata2017.dataversity.net/.
Smart Data Conference 2017 tracks, including combined co-tracks (marked by arrows). Source: Compiled according to the program at http://smartdata2017.dataversity.net/.

Figure 3

Domains/areas of interests, resources, and technologies expressed in the project descriptions of Digging into Data Challenge Round 1, 2, and 3, 2009–2013. Source: Compiled based on the project descriptions retrieved from the website at https://dev.diggingintodata.org/awards.
Domains/areas of interests, resources, and technologies expressed in the project descriptions of Digging into Data Challenge Round 1, 2, and 3, 2009–2013. Source: Compiled based on the project descriptions retrieved from the website at https://dev.diggingintodata.org/awards.

Figure 4

The Data-Information-Knowledge-Wisdom (DIKW) pyramid.
The Data-Information-Knowledge-Wisdom (DIKW) pyramid.

Figure 5

The unknown-unknowns.
The unknown-unknowns.

Figure 6

Examples of the data resources provided by libraries, archives, and museums (LAMs).
Examples of the data resources provided by libraries, archives, and museums (LAMs).
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
Journal RSS Feed