TY - GEN
T1 - Modeling users' data usage experiences from scientific literature
AU - Zhang, Jian
AU - Chen, Chaomei
AU - Vogeley, Michael S.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79960494796&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960494796&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21708-1_39
DO - 10.1007/978-3-642-21708-1_39
M3 - Conference contribution
AN - SCOPUS:79960494796
SN - 9783642217074
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 337
EP - 346
BT - Design, User Experience and Usability
T2 - 1st International Conference on Design, User Experience and Usability: Theory, Methods, Tools and Practice, DUXU 2011, Held as Part of 14th International Conference on Human-Computer Interaction, HCI International 2011
Y2 - 9 July 2011 through 14 July 2011
ER -