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Modeling Users' Data Usage Experiences from Scientific Literature
Conference proceeding   Peer reviewed

Modeling Users' Data Usage Experiences from Scientific Literature

Jian Zhang, Chaomei Chen and Michael S. Vogeley
DESIGN, USER EXPERIENCE, AND USABILITY: THEORY, METHODS, TOOLS AND PRACTICE, PT 2, v 6770(2), pp 337-346
01 Jan 2011
DOI: https://doi.org/10.1007/978-3-642-21708-1_39

Abstract

Computer Science Computer Science, Theory & Methods Science & Technology Technology
In the new data-intensive science paradigm, data infrastructures have been designed and built to collect, archive, publish, and analyze scientific data for a variety of users. Little attention, however, has been paid to users of these data infrastructures. This study endeavors to improve our understanding of these users' data usage models through a content analysis of publications related to a frequently cited project in the data-intensive science, Sloan Digital Sky Survey (SDSS). We find that 1) Content analysis of scientific publications could be a complementary method for researchers in HCI community; 2) although SDSS produced a large volume of astronomical data, users did not fully utilize these data; 3) users are not only consumers of scientific data, they are also producers; and 4) studies that can use multiple large scale data sources are relatively rare. Issues of data provenance and usability may prevent researchers from doing research that combines such data sources. Further HCI study of detailed usability issues associated with data infrastructures in the new paradigm is eagerly needed.

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Computer Science, Theory & Methods
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