ArticleJournal of the Medical Library Association : JMLA2020
The Medical Library Association Data Services Competency: a framework for data science and open science skills development.
Article in Journal of the Medical Library Association : JMLA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Data-sharing practices in publications funded by the Canadian Institutes of Health Research: implications for health sciences librarians.The journal of the Canadian Health Libraries Association · 2025Article
- Challenging the status quo: A guide to open and reproducible neuroimaging for early career researchers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Enhancing the quality and reproducibility of research: How to work effectively with medical and data librarians.Journal of the American Geriatrics Society · 2024Article
- Radiomics for characterization of the glioma immune microenvironment.NPJ precision oncology · 2023Review
- 2022 Janet Doe Lecture, health science libraries in the emerging digital information era: charting the course.Journal of the Medical Library Association : JMLA · 2023Review
- Functional and Process Model on Big Data, Machine Learning, and Digital Phenotyping in Clinical Psychiatry.Indian journal of psychological medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Increasingly, users of health and biomedical libraries need assistance with challenges they face in working with their own and others' data. Librarians have a unique opportunity to provide valuable support and assistance in data science and open science but may need to add to their expertise and skill set to have the most impact. This article describes the rationale for and development of the Medical Library Association Data Services Competency, which outlines a set of five key skills for data services and provides a course of study for gaining these skills.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.