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Smart Data for Digital Humanities

Marcia Lei Zeng

Marcia Lei Zeng

School of Library & Information Science, Kent State UniversityKent, United States of America
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Zeng, Marcia Lei
  
18 feb 2017
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Categoria dell'articolo: Perspective
Pubblicato online: 18 feb 2017
Pagine: 1 - 12
Ricevuto: 13 gen 2017
Accettato: 16 gen 2017
DOI: https://doi.org/10.1515/jdis-2017-0001
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© 2017 Marcia Lei Zeng
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
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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).
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Informatica, Tecnologia informatica, Project Management, Base dati e data mining
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