Evidence map›Paper›PMID 38764793›Full record

ArticleF1000Research2023

Motivation, inclusivity, and realism should drive data science education.

Candace Savonen, Carrie Wright, Ava Hoffman, Elizabeth Humphries, Katherine Cox, Frederick Tan, Jeffrey Leek

Abstract read
In one paragraph

Article in F1000Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Ten simple rules for teaching an introduction to R.PLoS computational biology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Candace SavonenFred Hutchinson Cancer Center, Seattle, WA, 98109, USA.ORCID https://orcid.org/0000-0001-6331-7070
Carrie WrightFred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
Ava HoffmanFred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
Elizabeth HumphriesFred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
Katherine CoxBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, 21218, USA.
Frederick TanCarnegie Institute, Baltimore, Maryland, USA.
Jeffrey LeekFred Hutchinson Cancer Center, Seattle, WA, 98109, USA.

Funding

The AnVIL Data Ecosystem DACReS SupplementU24HG010262 · NHGRI · BROAD INSTITUTE, INC. · PI Robert J Carroll, Jonathan Lawson · 2018 to 2026
$40.5M
Implementing the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL)U24HG010263 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI Enis Afgan, VINCENT JAMES CAREY · 2018 to 2026
$23.8M
Scalable multi-mode education to increase use of ITCR tools by diverse analystsUE5CA254170 · NCI · JOHNS HOPKINS UNIVERSITY · PI GRIFFITH, MALACHI, GRIFFITH, OBI L. · 2020 to 2024
$3.6M
NCI NIH HHS UE5 CA254170NHGRI NIH HHS U24 HG010262NHGRI NIH HHS U24 HG010263
6 · The paper itself

Abstract

Data science education provides tremendous opportunities but remains inaccessible to many communities. Increasing the accessibility of data science to these communities not only benefits the individuals entering data science, but also increases the field's innovation and potential impact as a whole. Education is the most scalable solution to meet these needs, but many data science educators lack formal training in education. Our group has led education efforts for a variety of audiences: from professional scientists to high school students to lay audiences. These experiences have helped form our teaching philosophy which we have summarized into three main ideals: 1) motivation, 2) inclusivity, and 3) realism. 20 we also aim to iteratively update our teaching approaches and curriculum as we find ways to better reach these ideals. In this manuscript we discuss these ideals as well practical ideas for how to implement these philosophies in the classroom.

Indexed as

Data ScienceMotivationCurriculumHumansTeachingdata scienceeducationinformaticspedagogyteaching

Identifiers

PMID38764793
PMCPMC11101914

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.