The GEP: Crowd-Sourcing Big Data Analysis with Undergraduates

Sarah C R Elgin; Charles Hauser; Teresa M Holzen; Christopher Jones; Adam Kleinschmit; Judith Leatherman; Genomics Education Partnership

doi:10.1016/j.tig.2016.11.004

The GEP: Crowd-Sourcing Big Data Analysis with Undergraduates

Trends Genet. 2017 Feb;33(2):81-85. doi: 10.1016/j.tig.2016.11.004. Epub 2016 Dec 6.

Authors

Sarah C R Elgin¹, Charles Hauser², Teresa M Holzen³, Christopher Jones⁴, Adam Kleinschmit⁵, Judith Leatherman⁶; Genomics Education Partnership

Affiliations

¹ Washington University, St Louis, MO, USA. Electronic address: selgin@wustl.edu.
² Bioinformatics Program, St. Edwards University, Austin, TX 78704, USA.
³ Biology Department, Mount Mary University, Milwaukee, WI 53222, USA.
⁴ Department of Biological Sciences, Moravian College, Bethlehem, PA 18018, USA.
⁵ Department of Biology, Adams State University, Alamosa, CO 81101, USA.
⁶ Department of Biological Sciences, University of Northern Colorado, Greeley, CO 80639, USA.

PMID: 27939750
DOI: 10.1016/j.tig.2016.11.004

Abstract

The era of 'big data' is also the era of abundant data, creating new opportunities for student-scientist research partnerships. By coordinating undergraduate efforts, the Genomics Education Partnership produces high-quality annotated data sets and analyses that could not be generated otherwise, leading to scientific publications while providing many students with research experience.

Keywords: CURE (course-based undergraduate research experience); bioinformatics; crowd-sourcing science; science education; undergraduate research.

Publication types

Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology / education*
Crowdsourcing
Education, Medical, Undergraduate
Humans
Science / education*
Statistics as Topic*

Grants and funding

R25 GM119157/GM/NIGMS NIH HHS/United States