Evidence map›Paper›PMID 37101914›Full record

ArticleJournal of the Medical Library Association : JMLA2022

Designing and assessing a data literacy internship program for graduate health sciences students.

Bethany Sheriese McGowan, Abigail Ekeigwe, Kari Clase

Abstract readCase Reports
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2022. 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. 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

3 authors.

Bethany Sheriese McGowanbmcgowa@purdue.edu, Associate Professor, Libraries and School of Information Studies, Purdue University, West Lafayette, IN.ORCID https://orcid.org/0000-0002-4797-4836
Abigail Ekeigweaekeigwe@purdue.edu, Research Assistant, Agricultural and Biological Engineering, Purdue University, West Lafayette, IN.ORCID https://orcid.org/myorcid?orcid=0000-0002-2695-7690
Kari Claseklclase@purdue.edu, Professor of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN.ORCID https://orcid.org/0000-0003-2749-6440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case study presents the results of a data internship and workshop series on data analysis in qualitative biomedical systematic reviews. In a newly developed librarian-led internship program, an intern was trained on data literacy concepts and data analysis tools and, in turn, helped recruit and train other graduate health sciences students. Due to COVID-19 restrictions, a flipped classroom model was applied to develop a completely virtual learning experience for both the intern and workshop attendees. Both the data intern and workshop participants reported improved confidence in data literacy competence at the end of the project. Assessment results suggest that while the workshop series improved participants' data literacy skills, participants might still benefit from additional data literacy instruction. This case also presents a model for student-led instruction that could be particularly useful for informing professional development opportunities for library interns, fellows, and student assistants.

Indexed as

COVID-19Internship and ResidencyTeacher TrainingClinical CompetenceHumansLiteracyStudentsdata analysisData literacyinternshipNVivoqualitativesystematic reviewtraining

Identifiers

PMID37101914
PMCPMC10124591

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.