Data Science in Undergraduate Life Science Education: A Need for Instructor Skills Training

Want to track pandemic variants faster? Fix the bioinformatics bottleneck

(2021) Emma B. Hodcroft et al.   NATURE

Teaching R in the undergraduate ecology classroom: approaches, lessons learned, and recommendations

(2020) Linda A. Auker et al.   Ecosphere

Early-career faculty practice learner-centered teaching up to 9 years after postdoctoral professional development

(2020) Nathan C. Emery et al.   Science Advances

Changing the Nature of Quantitative Biology Education: Data Science as a Driver

(2020) Raina S. Robeva et al.   BULLETIN OF MATHEMATICAL BIOLOGY

Introducing Programming Skills for Life Science Students

(2019) Diego Mariano et al.   BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION

The Future is Bright for Evolutionary Morphology and Biomechanics in the Era of Big Data

(2019) Martha M Muñoz et al.   INTEGRATIVE AND COMPARATIVE BIOLOGY

Barriers to integration of bioinformatics into undergraduate life sciences education: A national study of US life sciences faculty uncover significant barriers to integrating bioinformatics into undergraduate instruction

(2019) Jason J. Williams et al.   PLoS One

Successful Integration of Data Science in Undergraduate Biostatistics Courses Using Cognitive Load Theory

(2019) Laura Melissa Guzman et al.   CBE-Life Sciences Education

Environmental Data Science

(2018) Karina Gibert et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Bioinformatics core competencies for undergraduate life sciences education

(2018) Melissa A. Wilson Sayres et al.   PLoS One

Assessing an effective undergraduate module teaching applied bioinformatics to biology students

(2018) Andreas Madlung   PLoS Computational Biology

Wildlife biology, big data, and reproducible research

(2018) Keith P. Lewis et al.   WILDLIFE SOCIETY BULLETIN

A Systematic Literature Review on Teaching and Learning Introductory Programming in Higher Education

(2018) Rodrigo Pessoa Medeiros et al.   IEEE TRANSACTIONS ON EDUCATION

Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators

(2017) Lindsay Barone et al.   PLoS Computational Biology

Curriculum Guidelines for Undergraduate Programs in Data Science

(2017) Richard D. De Veaux et al.   Annual Review of Statistics and Its Application

Drosophila Neurobiology: No Escape from ‘Big Data’ Science

(2015) Herman A. Dierick et al.   CURRENT BIOLOGY

Big Data: Astronomical or Genomical?

(2015) Zachary D. Stephens et al.   PLOS BIOLOGY

Computational Thinking in Life Science Education

(2014) Amir Rubinstein et al.   PLoS Computational Biology

Big data and the future of ecology

(2013) Stephanie E Hampton et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

The big challenges of big data

(2013) Vivien Marx   NATURE

So you want to be a computational biologist?

(2013) Nick Loman et al.   NATURE BIOTECHNOLOGY

Ten Simple Rules for Reproducible Computational Research

(2013) Geir Kjetil Sandve et al.   PLoS Computational Biology

Advanced Technologies and Data Management Practices in Environmental Science: Lessons from Academia

(2012) Rebecca R. Hernandez et al.   BIOSCIENCE

Barriers to Faculty Pedagogical Change: Lack of Training, Time, Incentives, and…Tensions with Professional Identity?

(2012) Sara E. Brownell et al.   CBE-Life Sciences Education

Ecoinformatics: supporting ecology as a data-intensive science

(2012) William K. Michener et al.   TRENDS IN ECOLOGY & EVOLUTION

The fractured lab notebook: undergraduates and ecological data management training in the United States

(2012) C. A. Strasser et al.   Ecosphere