Chronology: Data-driven Sports Image Indexing Research

The chronology reports on research, teaching, and service activities led by Steven L. MacCall, PhD, associate professor in the School of Library and Information Studies at the University of Alabama.

Research into indexing efficiency and effectiveness is a long standing area for information science investigators. Applications of such research include the improvement of systems design as well as informing the teaching of information professionals to better prepare them for the technological intensities of the modern metadata work environment.

One would expect that research questions would evolve over time, and in that spirit, these are the present day global research questions presently in force for this research program:

1. Efficiency (scalability)
2. Effectiveness

The entries below are inverse chronologically and are coded as follows:

1. RESEARCH
   1. RESEARCH - Theory
   2. RESEARCH - Empirical
   3. RESEARCH - Patent activity/actions
   4. RESEARCH - Grant activity
2. TEACHING
3. SERVICE

2020

MacCall, S.L. Patent granted

MacCall, S.L. (In review). Data-driven semantic DAM indexing incorporating statistical play-by-play game logs: A linked data application using Wikibase from the 2017 football season of the Alabama Crimson Tide. Conference paper submitted to 2020 LD4 Conference on Linked Data in Libraries, College Station, TX.

MacCall, S.L., Liu, H., & Anderson, C.M. (In review). Statistical data recovery from historical documentation of Alabama football games using Wikibase as a repository. Conference paper submitted to Connecting Collections as Data: Transforming Communities, Sharing Knowledge, and Building Networks with International GLAM Labs, Washington, DC.

2019

Anderson, C.M., Liu, H., & MacCall, S.L. (2019). Crowdsourcing in a semantic indexing workflow for efficiently organizing historical multimedia sports collections. Poster accepts for the 2020 Annual Meeting of the Alabama Library Association, Birmingham, AL.

MacCall, S.L., Liu, H., & Anderson, C.M. (2019). How much statistical data can be recovered from Alabama football history? Piloting a crowdsourced approach using Wikibase as data repository. Conference paper presented at 2019 Digitorium Digital Humanities Conference, Tuscaloosa, AL. [UA Institutional Repository deposit: https://ir.ua.edu/handle/123456789/6574]

2018

MacCall, S.L. (2018). Investigation of a data-driven indexing method for multimedia asset collections in sports: Phase 2: Developing SLIS research capacity for key linked open data technologies. University of Alabama School of Library and Information Studies Research Fund -$1,000. Funded.

MacCall, S.L., & Bott, G. (2018). Investigation of a data-driven indexing method for multimedia asset collections in sports: Phase 1: How much data can be recovered from Alabama football history? University of Alabama Office of Research and Development Research Grants Committee Level 1 Program - $6,000. Funded

2016

MacCall, S.L., McMillan, D.J., Vargo, C.J., Bradley, S.B., & Aversa, E.A. (2016). Efficiency, integration, interoperability: A 21st century approach to organizing sports digital assets for all libraries. Knight Foundation’s News Challenge for Libraries: How Might Libraries Serve 21st Century Information Needs? - pre-budget grant submission. Not funded.

2015

MacCall, S.L. patent files

MacCall, S.L., Vargo, C.J., Bradley, S.B., & Aversa, E.A. (2015). Development of a novel digital asset organizing method in sports. National Science Foundation - Small Business Innovation Research (SBIR) Phase I Grant - $225,000 ($74,925 sub-award to University of Alabama). Not funded.

2013

R/Theory MacCall, S.L. & Gaddy, K. (2013). Optimal organizing of digital images in sports: A project of the Paul W. Bryant Museum and UA SLIS. Presented at the 2013 University of Alabama Program in Sports Communication Sports Symposium, Tuscaloosa, AL. [Slideshare: http://tinyurl.com/k875g5j]