Loading...

About metaBUS

PROBLEM

  • There exist no search engines that contain the millions of scientific findings that have accumulated over time.
  • Summarizing the results of many studies’ findings is an essential scientific process. However, the process is arduous and can take years.
  • Current academic search engines rely on abstracts and keywords. Their search results are often incomplete.
  • We take a “bottom-up” approach to summarizing science: First collect and curate virtually all findings in a given area and then build platforms that allow rapid search, summary, and interaction.

SOLUTION

  • Semi-automated extraction. We engineer processes to rapidly extract findings from research sources.
  • Deep curation. We then hand-curate and classify each finding according to a host of study characteristics (e.g., country of origin, sample type; …)
  • Field-level ontology. Each of the findings is manually tagged to a branching taxonomy containing all topics within a given scientific space.
  • Magic in the cloud. We join a massive database of research findings, R Statistics for number crunching, and user interfaces that allow exploration and summary of scientific findings at a level never before possible.

FUNDING

  • National Science Foundation (NSF)
  • Social Sciences and Humanities Research Council (SSHRC)
  • SHRM Foundation
  • Canadian Centre for Advanced Leadership in Business (CCAL)
  • VCU Presidential Research Quest Fund (PeRQ)
  • National Endowment for the Humanities (NEH) Digging into Data Challenge

Take metaBUS for a Spin!

SELECT AN INTERFACE

metaBUS Premier

Access our fully-featured premier platform (for most users)

metaBUS Premier

Click below to login or sign up

Access now
Video tutorial

metaBUS Shiny

Access our metaBUS R Shiny platform (for tech-savvy users)

metaBUS Shiny

Click below to login or sign up

Access now
Video tutorial

metaBUS Classic

Access our first platform (only ~200,000 findings; for nostalgic users)

metaBUS Classic

Click below to login or sign up

Access now

Recent Publications

See all Publications and Presentations

Bosco, F. A., Uggerslev, K. L., & Steel, P. (2017). metaBUS as a vehicle for facilitating meta-analysis. Human Resource Management Review, 27, 237-254.

Baker, C. A., Bosco, F. A., Uggerslev, K. L., & Steel, P. (2016). metaBUS: An open search engine of I-O research findings. The Industrial-Organizational Psychologist.

Bosco, F. A., Aguinis, H., Field, J. G., Pierce, C. A., & Dalton, D. R. (2016). HARKing’s threat to organizational research: Evidence from primary and meta-analytic sources. Personnel Psychology, 69, 709-750.

Bosco, F. A., Steel, P., Oswald, F. L., Uggerslev, K. L., & Field, J. G. (2015). Cloud-based meta-analysis to bridge science and practice: Welcome to metaBUS. Personnel Assessment and Decisions, 1, 3-17.

Bosco, F. A., Aguinis, H., Singh, K., Field, J. G., & Pierce, C. A. (2015). Correlational effect size benchmarks. Journal of Applied Psychology, 100, 431-449.