Evidence map›Paper›PMID 37207236›Full record

ArticleJournal of statistics and data science education : an official journal of the of the American Statistical Association2023

Open-source Tools for Training Resources - OTTR.

Candace Savonen, Carrie Wright, Ava M Hoffman, John Muschelli, Katherine Cox, Frederick J Tan, Jeffrey T Leek

Open access · diamondAbstract read
In one paragraph

Article in Journal of statistics and data science education : an official journal of the of the American Statistical Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Ten simple rules for teaching an introduction to R.PLoS computational biology · 2024
    Article
  3. Article
  4. Review
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 at 3 institutions in 1 country.

Candace SavonenJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Carrie WrightJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Ava M HoffmanJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
John MuschelliJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Katherine CoxJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Frederick J TanCarnegie Institution, Baltimore, MD.
Jeffrey T LeekJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Johns Hopkins University · USCarnegie Institution for Science · USFred Hutch Cancer Center · US

Funding

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 HG010263
6 · The paper itself

Abstract

Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools often deprecate because their maintenance is not prioritized by funding, giving teams little time to devote to such endeavors. Our group has developed Open-source Tools for Training Resources (OTTR) to offer greater efficiency and flexibility for creating and maintaining these training resources. OTTR empowers creators to customize their work and allows for a simple workflow to publish using multiple platforms. OTTR allows content creators to publish training material to multiple massive online learner communities using familiar rendering mechanics. OTTR allows the incorporation of pedagogical practices like formative and summative assessments in the form of multiple choice questions and fill in the blank problems that are automatically graded. No local installation of any software is required to begin creating content with OTTR. Thus far, 15 training courses have been created with OTTR repository template. By using the OTTR system, the maintenance workload for updating these courses across platforms has been drastically reduced. For more information about OTTR and how to get started, go to ottrproject.org.

Indexed as

data scienceeducationinformaticsopen-sourcetools

Identifiers

PMID37207236
PMCPMC10193921
OpenAlexW4293860390

What OpenQuestion holds

Textmetadata
LicenceTDM
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.