Evidence map›Paper›PMID 39637085›Full record

ArticlePloS one2024

Using Glittr.org to find, compare and re-use online materials for training and education.

Geert van Geest, Yann Haefliger, Monique Zahn-Zabal, Patricia M Palagi

Abstract read
In one paragraph

Article in PloS one, 2024. 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. 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

4 authors.

Geert van GeestSwiss Institute of Bioinformatics, Quartier Sorge-Bâtiment Amphipôle, Lausanne, Switzerland.ORCID 0000-0002-1561-078X
Yann HaefligerSwiss Institute of Bioinformatics, Quartier Sorge-Bâtiment Amphipôle, Lausanne, Switzerland.
Monique Zahn-ZabalSwiss Institute of Bioinformatics, Quartier Sorge-Bâtiment Amphipôle, Lausanne, Switzerland.ORCID 0000-0001-7961-6091
Patricia M PalagiSwiss Institute of Bioinformatics, Quartier Sorge-Bâtiment Amphipôle, Lausanne, Switzerland.ORCID 0000-0001-9062-6303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wealth of excellent training and educational materials for the computational life sciences are scattered around the Internet, but they can be hard to find. Many materials reside in public Git repositories that are hosted on platforms such as GitHub and GitLab. Glittr.org is a manually curated database of Git repositories, which enables users to find educational materials that would otherwise be hard to identify. With the application, users can search and compare educational materials based on topic and author, but also on engagement metrics such as stargazers (bookmarks) and recency (days since last commit). Glittr.org currently contains 664 entries, which are assigned to six different categories within the domain of computational life sciences. By analysing the database, we reveal insights in the availability of materials per topic, collaboration patterns of developers, and licensing practices. This knowledge helps to understand in which areas open educational materials are scant, the importance of Git for collaboration on educational materials and how licensing can be improved to enhance sharing and reuse. Taken together, we show that Glittr.org contains a wealth of connected and openly available metadata. Therefore, it enhances adherence to the FAIR (Findable, Accessible, Interoperable, Reusable) principles, which benefits learners, teachers and trainers in the entire life sciences community and beyond.

Indexed as

InternetBiological Science DisciplinesComputational BiologyDatabases, FactualHumans

Identifiers

PMID39637085
PMCPMC11620569

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.