Evidence map›Paper›PMID 28377683›Full record

ArticleJournal of the Medical Library Association : JMLA2017

Interinstitutional collaboration for end-user bioinformatics training: Cytoscape as a case study.

Marci D Brandenburg, Rolando Garcia-Milian

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2017. 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
–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

4 citing papers in PubMed.

  1. Piloting a long-term evaluation of library data workshops.Journal of the Medical Library Association : JMLA · 2021
    Article
  2. Article
  3. Defining data librarianship: a survey of competencies, skills, and training.Journal of the Medical Library Association : JMLA · 2018
    Article
  4. Publishing case studies in health sciences librarianship.Journal of the Medical Library Association : JMLA · 2017
    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

2 authors.

Marci D Brandenburg
Rolando Garcia-Milian

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis case study describes the value of and need for interinstitutional collaboration to train biomedical researchers in data visualization, using Cytoscape network analysis software as an example. To provide training on Cytoscape software to Yale University biomedical researchers, a collaboration was formed between the Yale Harvey Cushing/John Hay Whitney Medical Library's (CWML's) biomedical sciences research support librarian and the University of Michigan (U-M) Taubman Health Sciences Library's bioinformationist, who has expertise in Cytoscape software. CASE PRESENTATION: The U-M bioinformationist offered a webinar to the Yale community, followed by a one-day onsite workshop. This collaboration allowed Yale biomedical researchers and librarians to receive training on Cytoscape software, in addition to giving the Yale librarian a collaborator for answering future questions about the software.

conclusionsThis collaboration furthered the U-M bioinformationist's role in the field as an expert in Cytoscape instruction, while also establishing the CWML as a leader in providing support for analyzing and visualizing molecular data at Yale University. The authors found this collaboration to be a successful way for librarians to fill end-user training gaps in rapidly changing fields such as bioinformatics.

Indexed as

Interinstitutional RelationsLibraries, MedicalComputational BiologyCooperative BehaviorHumansLibrariansResearch PersonnelSoftware

Identifiers

PMID28377683
PMCPMC5370611

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.