ArticleBioscience2021
Data Science in Undergraduate Life Science Education: A Need for Instructor Skills Training.
Article in Bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Microbiome education at under-resourced institutions: current status, barriers, and approaches to successful implementation.Journal of microbiology & biology education · 2026Article
- Bridging language and data: Transforming agricultural curricula for data analytics through linguistic insights.PloS one · 2026Article
- Skills training in activities of daily living for persons living with dementia: a scoping review protocol.BMJ open · 2025Article
- Guidance framework to apply best practices in ecological data analysis: lessons learned from building Galaxy-Ecology.GigaScience · 2025Article
- Pytaxon: A Python software for resolving and correcting taxonomic names in biodiversity data.Biodiversity data journal · 2025Article
- Harnessing open science practices to teach ecology and evolutionary biology using interactive tutorials.Ecology and evolution · 2024Article
- Assessing opportunities and inequities in undergraduate ecological forecasting education.Ecology and evolution · 2023Article
- Cloud-controlled microscopy enables remote project-based biology education in underserved Latinx communities.Heliyon · 2022Article
- Ten simple rules for teaching yourself R.PLoS computational biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a clear demand for quantitative literacy in the life sciences, necessitating competent instructors in higher education. However, not all instructors are versed in data science skills or research-based teaching practices. We surveyed biological and environmental science instructors (n = 106) about the teaching of data science in higher education, identifying instructor needs and illuminating barriers to instruction. Our results indicate that instructors use, teach, and view data management, analysis, and visualization as important data science skills. Coding, modeling, and reproducibility were less valued by the instructors, although this differed according to institution type and career stage. The greatest barriers were instructor and student background and space in the curriculum. The instructors were most interested in training on how to teach coding and data analysis. Our study provides an important window into how data science is taught in higher education biology programs and how we can best move forward to empower instructors across disciplines.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.