Interdisciplinary data science education

Jeffrey M Stanton, Carole L. Palmer, Catherine Blake, Suzie Allard

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

Data scientists are information professionals who contribute to the collection, cleaning, transformation, analysis, visualization, and curation of large, heterogeneous data sets. Although some conceptions of data science focus primarily on analytical methods, data scientists must also have a deep understanding of how project data were collected, preprocessed and transformed. These processes strongly influence the analytical methods that can be applied, and more importantly how the results of those methods should be interpreted. In the present chapter we provide background information on educational challenges for data scientists and report on the results of a workshop where experts from the information field brainstormed on the educational dimensions of data science. Results of the workshop showed that data scientists must possess a breadth of expertise across three areas - curation, analytics, and cyber-infrastructure - with deep knowledge in at least one of these areas. Workshop participants also underscored the importance of domain knowledge to the success of the data science role. Additionally, the workshop highlighted a factor that differentiates data science from other professional specialties: the emphasis on serving the data needs of information users and decision makers.

Original languageEnglish (US)
Title of host publicationACS Symposium Series
PublisherAmerican Chemical Society
Pages97-113
Number of pages17
Volume1110
ISBN (Print)9780841227125
DOIs
StatePublished - Nov 15 2012

Publication series

NameACS Symposium Series
Volume1110
ISSN (Print)00976156
ISSN (Electronic)19475918

Fingerprint

Cleaning
Visualization
Education

ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)

Cite this

Stanton, J. M., Palmer, C. L., Blake, C., & Allard, S. (2012). Interdisciplinary data science education. In ACS Symposium Series (Vol. 1110, pp. 97-113). (ACS Symposium Series; Vol. 1110). American Chemical Society. https://doi.org/10.1021/bk-2012-1110.ch006

Interdisciplinary data science education. / Stanton, Jeffrey M; Palmer, Carole L.; Blake, Catherine; Allard, Suzie.

ACS Symposium Series. Vol. 1110 American Chemical Society, 2012. p. 97-113 (ACS Symposium Series; Vol. 1110).

Research output: Chapter in Book/Report/Conference proceedingChapter

Stanton, JM, Palmer, CL, Blake, C & Allard, S 2012, Interdisciplinary data science education. in ACS Symposium Series. vol. 1110, ACS Symposium Series, vol. 1110, American Chemical Society, pp. 97-113. https://doi.org/10.1021/bk-2012-1110.ch006
Stanton JM, Palmer CL, Blake C, Allard S. Interdisciplinary data science education. In ACS Symposium Series. Vol. 1110. American Chemical Society. 2012. p. 97-113. (ACS Symposium Series). https://doi.org/10.1021/bk-2012-1110.ch006
Stanton, Jeffrey M ; Palmer, Carole L. ; Blake, Catherine ; Allard, Suzie. / Interdisciplinary data science education. ACS Symposium Series. Vol. 1110 American Chemical Society, 2012. pp. 97-113 (ACS Symposium Series).
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