Multi-year Content Analysis of User Facility Related Publications
Author(s) -
Robert M. Patton,
Christopher Stahl,
Jayson B. Hines,
Thomas E. Potok,
J. C. Wells
Publication year - 2013
Publication title -
d-lib magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 52
ISSN - 1082-9873
DOI - 10.1045/september2013-patton
Subject(s) - content (measure theory) , computer science , content analysis , information retrieval , sociology , mathematics , social science , mathematical analysis
Scientific user facilities provide resources and support that enable scientists to conduct experiments or simulations pertinent to their respective research. Consequently, it is critical to have an informed understanding of the impact and contributions that these facilities have on scientific discoveries. Leveraging insight into scientific publications that acknowledge the use of these facilities enables more informed decisions by facility management and sponsors in regard to policy, resource allocation, and influencing the direction of science as well as more effectively understand the impact of a scientific user facility. This work discusses preliminary results of mining scientific publications that utilized resources at the Oak Ridge Leadership Computing Facility (OLCF) at Oak Ridge National Laboratory (ORNL). These results show promise in identifying and leveraging multi-year trends and providing a higher resolution view of the impact that a scientific user facility may have on scientific discoveries.
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