EThority as a Business Intelligence Solution for VIVO Data Mike Conlon, Alicia Turner, Will Collante...
If you can't read please download the document
EThority as a Business Intelligence Solution for VIVO Data Mike Conlon, Alicia Turner, Will Collante UF Clinical and Translational Science Institute BackgroundAnalytics
eThority as a Business Intelligence Solution for VIVO Data Mike
Conlon, Alicia Turner, Will Collante UF Clinical and Translational
Science Institute BackgroundAnalytics Next Steps Papers eThority
provides tools for analysts to aggregate, tabulate, compute and
display results from data without programming. Automated creation
of databooks eliminates the need to engage IT following initial
set-up. eThority provides for the creation of dashboards created by
analysts to provide easily updated and collected analytics
appropriate for particular domains for example, bibliometrics,
grant productivity. Export of analytic results (tables, reports and
graphics) for use in web sites and other on-line delivery can also
be automated making eThority part of an information creation flow
from raw data in VIVO to finished analytics on web sites. The
Clinical and Translational Science Institute is expanding its
efforts to use business intelligence to assess the impact of its
efforts on the research environment, and the impact of biomedical
research on health care and health. Human subject studies will be
added, along with participant counts. Data from the pilot award
program, research help desk, voucher program, and billing of
services to investigators will be added. VIVO will contain data on
trainees and mentoring relationships providing further information
for analysis and display using eThority. GrantsFacultyCourses
Figure 1. Papers by UF faculty 2008-2012. HSC includes Medicine,
Pharmacy, Dentistry, Nursing, Public Health and Health Professions
and Veterinary Medicine Figure 2. Awards made to UF faculty
2008-2012. Awards include internal and external, research and
training, federal, non-federal, private Figure 3. Course sections
taught by UF faculty since 2008. One course, for example ECON 101
may have many sections in an academic term. Figure 4. UF faculty.
Includes tenure and non- tenured track, emeritus and postdocs.
Figure 5. Papers by UF faculty appearing in 10 journals with the
highest average citation count. Figure 6. Dollars awarded to UF
faculty 2008-2012. Award amount is direct plus F&A. For
multi-year awards, the total amount for the multi-year period is
counted in the year of the award. Figure 7. Most common course
sections by year and part of the university. Exported to Excel and
Word Figure 8. Count faculty by cohorts. Define cohorts by grant
and publication activity. References 1 Clinical and Translational
Science Awards. https://www.ctsacentral.org/ Accessed August 11,
2012. https://www.ctsacentral.org/ 2 eThority Home Page.
http://www.ethority.com/ Accessed August 11,
2012.http://www.ethority.com/ 3 Brner, K, Conlon, M, Corson-Rikert,
JR and Ding, Y (eds) VIVO: A Semantic Approach to Scholarly
Networking and Discovery. 2012. Morgan & Claypool. ISBN13
9781608459933. 4 Conlon, M, Barnes, CP, Sposato, V, Rejack, N,
Schmidt, E, Collante, W, Guazzelli, L, Williams, S and Raum, N.
Implementation of VIVO at the University of Florida. 2012.
Conference Poster. VIVO 2012 conference. Research organizations
invest in infrastructure and services to investigators in order to
create more productive environments for the generation of new
knowledge and the translation of new knowledge to improved
practice. The National Institutes of Health require their Clinical
and Translational Science Awardees 1 (CTSAs) to evaluate the
effectiveness of their investments on the research environment. At
the University of Florida, eThority 2 is used to provide business
intelligence regarding published papers, grants awarded and courses
taught by faculty who have received support from the Clinical and
Translational Science Institute and those who have not. eThority is
a general purpose business intelligence tool. Together with VIVO 3,
UF can collect, represent and summarize data leading to improved
decision making regarding research strategy. The results presented
here are preliminary. UF continues to add data to VIVO and improve
the quality of the universitys information about research. Data
Data in VIVO is extracted using SPARQL queries to create eThority
databooks. Databooks are created for papers, investigators, grants,
courses, human research studies. Derived attributes are added and
databooks joined to provide analytic databooks for tabulation and
display. The creation of databooks from VIVO is fully automated.
Analysts have access to current data each day. See Conlon, et al 4
for a description of VIVO data at the University of Florida. Spring
2009Spring 2010Spring 2011 STA2023 Into to Statistics STA2023 Intro
to Statistics ENC3254 Professional Writing CHM2046 General
Chemistry 2 STA2023 Intro to Statistics CHM2045 General Chemistry 1
ENC3254 Professional Writing LAW6930 Selected Legal Problems
ENC3254 Professional Writing CHM2045 General Chemistry 1 CHM2046
General Chemistry 2 ENC1102 Argument and Persuasion BSC2010
Principles of Biology Lab