Evidence map›Paper›PMID 37319143›Full record

ArticlePLoS computational biology2023

Bioschemas training profiles: A set of specifications for standardizing training information to facilitate the discovery of training programs and resources.

Leyla Jael Castro, Patricia M Palagi, Niall Beard, Teresa K Attwood, Michelle D Brazas

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Leyla Jael CastroZB MED Information Centre for Life Sciences, Köln, Germany.ORCID 0000-0003-3986-0510
Patricia M PalagiSIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.ORCID 0000-0001-9062-6303
Niall BeardDepartment of Computer Science, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-2627-0231
Teresa K AttwoodDepartment of Computer Science, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0003-2409-4235
Michelle D BrazasOntario Institute for Cancer Research, Toronto, Canada.ORCID 0000-0001-8150-4531

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stand-alone life science training events and e-learning solutions are among the most sought-after modes of training because they address both point-of-need learning and the limited timeframes available for "upskilling." Yet, finding relevant life sciences training courses and materials is challenging because such resources are not marked up for internet searches in a consistent way. This absence of markup standards to facilitate discovery, re-use, and aggregation of training resources limits their usefulness and knowledge translation potential. Through a joint effort between the Global Organisation for Bioinformatics Learning, Education and Training (GOBLET), the Bioschemas Training community, and the ELIXIR FAIR Training Focus Group, a set of Bioschemas Training profiles has been developed, published, and implemented for life sciences training courses and materials. Here, we describe our development approach and methods, which were based on the Bioschemas model, and present the results for the 3 Bioschemas Training profiles: TrainingMaterial, Course, and CourseInstance. Several implementation challenges were encountered, which we discuss alongside potential solutions. Over time, continued implementation of these Bioschemas Training profiles by training providers will obviate the barriers to skill development, facilitating both the discovery of relevant training events to meet individuals' learning needs, and the discovery and re-use of training and instructional materials.

Indexed as

Biological Science DisciplinesCurriculumComputational BiologyHumansLearning

Identifiers

PMID37319143
PMCPMC10270332

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.