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Journal of Data and Information Science  2017, Vol. 2 Issue (1): 1-12    DOI: 10.1515/jdis-2017-0001
Perspective     
Smart Data for Digital Humanities
Lei Zeng Marcia()
School of Library & Information Science, Kent State University, Kent, Ohio, OH 44240, USA
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Abstract  

The emergence of “Big Data” has been a dramatic development in recent years. Alongside it, a lesser-known but equally important set of concepts and practices has also come into being—“Smart Data.” This paper shares the author’s understanding of what, why, how, who, where, and which data in relation to Smart Data and digital humanities. It concludes that, challenges and opportunities co-exist, but it is certain that Smart Data, the ability to achieve big insights from trusted, contextualized, relevant, cognitive, predictive, and consumable data at any scale, will continue to have extraordinary value in digital humanities.



Received: 13 January 2017      Published: 16 January 2017
Corresponding Authors: Lei Zeng Marcia     E-mail: mzeng@kent.edu
About author: Marcia Lei Zeng
Cite this article:

Lei Zeng Marcia. Smart Data for Digital Humanities. Journal of Data and Information Science, 2017, 2(1): 1-12.

URL:

http://manu47.magtech.com.cn/Jwk3_jdis/10.1515/jdis-2017-0001     OR     http://manu47.magtech.com.cn/Jwk3_jdis/Y2017/V2/I1/1

Figure 1. 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/.
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.
Figure 4. The Data-Information-Knowledge-Wisdom (DIKW) pyramid.
Figure 5. The unknown-unknowns.
Figure 6. Examples of the data resources provided by libraries, archives, and museums (LAMs).
[1]   Ackoff R.L.(1989). From data to wisdom. Journal of Applied Systems Analysis, 16(1), 3-9.
[2]   Anderson C.(2008). The end of theory: The data deluge makes the scientific method obsolete. Wired, 16(7). Retrieved on December 5, 2016, from .
[3]   Borgman C.(2015). Big data, little data, no data: Scholarship in the networked world. Cambridge, MA: MIT Press.
[4]   Borne K. (2013). Big data, small world: Kirk Borne at TEDxGeorgeMasonU [Video file]. Retrieved on December 15, 2016, from .
[5]   Consultative Committee for Space Data Systems. (2012. Reference model for an open archival information system (OAIS): Recommended practice (CCSDS 650.0-M-2: Magenta Book). Washington, DC: CCSDS. Retrieved on December 15, 2016, from .
[6]   DATAVERSITY Education, LLC. (2017. Smart Data Conference (website). Retrieved on January 12, 2017, from .
[7]   Digging into data challenge.(n.d.) Retrieved on January 10, 2017, from .
[8]   Gardner D.(2012). An ocean of data [Introduction]. In R. Smolan, & J. Erwitt (Eds.), The Human Face of Big Data (pp. 14-17). Sausalito, CA: Against All Odds Productions.
[9]   Gantz J., & Reinsel D., (2012. The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the Far East. IDC iView, December 2012, 1-16. Retrieved on January 10, 2017, from .
[10]   Humby C. (2006). Data is the new oil. Talk given at the Association of National Advertisers (ANA) Senior Marketer’s Summit, Kellogg School. (Source: M. Palmer, M. (2006 Nov. 3). Data is the New Oil (Web log post)). Retrieved on January 10, 2017, from .
[11]   Iafrate F. (2015). From big data to smart data. London: ISTE Ltd., and Hoboken, NJ: John Wiley & Sons, Inc.
[12]   Kaplan F.(2015). A map for big data research in digital humanities. Frontiers in Digital Humanities, 2, p. 1. Retrieved on January 10, 2017, from .
[13]   Kobielus J.(2016, June). The evolution of big data to smart data [PowerPoint slides]. Keynote at Smart Data Online 2016.
[14]   Mayer-Sch?nberger V., & Cukier K., (2013). Big data: A revolution that will transform how we live, work, and think. New York, NY: Eamon Dolan/Houghton Mifflin Harcourt.
[15]   Mukerjee P.(2014. Introduction to data science [PowerPoint slides]. Retrieved on January 10, 2017, from .
[16]   National Endowment for the Humanities (NEH). (2016). Grants. Retrieved on January 10, 2017, from .
[17]   Schich M., Song C., Ahn Y.Y., Mirsky A., Martino M., Barabási A.L., & Helbing D. (2014a). A network framework of cultural history. Science, 345(6196), 558-562.
doi: 10.1126/science.1240064
[18]   Schich M., Song C., Ahn Y.Y., Mirsky A., Martino M., Barabási A.L., & Helbing D. (2014b, July 31). Charting culture. Nature Video [Video file]. Retrieved on January 10, 2017, from .
[19]   Sch?ch C.(2013). Big? smart? clean? messy? Data in the humanities. Journal of Digital Humanities, 2(3), 2-13.
doi: 10.5281/zenodo.8432
[20]   Sheth A.(2014. Transforming big data into smart data: Deriving value via harnessing volume, variety and velocity using semantics and semantic web [PowerPoint Slides]. Keynote at 30th IEEE International Conference on Data Engineering (ICDE) 2014. Retrieved on January 10, 2017, from .
[21]   TiECON East. (2014. Data is the new oil. Retrieved on January 10, 2017, from .
[22]   Wallis R. (2016). Contextual computing with knowledge graphs and the Web of Entities. Presentation at Smart Data Online 2016.
[23]   Weingart S. (2016. Submissions to DH2016 (pt. 1) [Web log post]. Retrieved on January 10, 2017, from .
[24]   Weingart S. (2017. Submissions to DH2017 (pt.1) [Web log post]. Retrieved on January 10, 2017, from .
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