Evidence map›Paper›PMID 37247072›Full record

ArticleHistochemistry and cell biology2023

Partnering with health sciences libraries to address challenges in bioimaging data management and sharing.

Christie Silkotch, Rolando Garcia-Milian, Denise Hersey

Abstract read
PubMed Publisher
In one paragraph

Article in Histochemistry and cell biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. In focus: data management and data analysis in microscopy.Histochemistry and cell biology · 2023
    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.

Christie SilkotchDavid W. Howe Memorial Library, University of Vermont, Burlington, VT, 05405, USA.ORCID http://orcid.org/0000-0001-8064-2289
Rolando Garcia-MilianBioinformatics Support Hub, Harvey Cushing/John Whitney Medical Library, Yale University, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0003-1557-566X
Denise HerseyDana Health Sciences Library, University of Vermont, Burlington, VT, 05405, USA. Denise.hersey@uvm.edu.ORCID http://orcid.org/0000-0002-2350-4725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Federal mandates, publishing requirements, and an interest in open science have all generated renewed attention on research data management and, in particular, data sharing practices. Due to the size and types of data they produce, bioimaging researchers confront specific challenges in aligning their data with FAIR principles, ensuring that it is findable, accessible, interoperable, and reusable. Although not always recognized by researchers, libraries can, and have been, offering support for data throughout its lifecycle by assisting with data management planning, acquisition, processing and analysis, and sharing and reuse of data. Libraries can educate researchers on best practices for research data management and sharing, facilitate connections to experts by coordinating sessions using peer educators and appropriate vendors, help assess the needs of different researcher groups to identify challenges or gaps, recommend appropriate repositories to make data as accessible as possible, and comply with funder and publisher requirements. As a centralized service within an institution, health sciences libraries have the capability to bridge silos and connect bioimaging researchers with specialized data support across campus and beyond.

Indexed as

Data ManagementInformation DisseminationComputer assistedData managementImage processingLibrariesMultimodal imaging

Identifiers

What OpenQuestion holds

Textmetadata
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.