Evidence map›Paper›PMID 40604187›Full record

ArticleScientific reports2025

A comprehensive evaluation of life sciences data resources reveals significant accessibility barriers.

Sehi L'Yi, Harrison G Zhang, Andrew P Mar, Thomas C Smits, Lawrence Weru, Sofía Rojas, Alexander Lex, Nils Gehlenborg

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. 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

8 authors.

Sehi L'YiHarvard Medical School, Boston, MA, USA.
Harrison G ZhangStanford University, Palo Alto, CA, USA.
Andrew P MarHarvard Medical School, Boston, MA, USA.
Thomas C SmitsHarvard Medical School, Boston, MA, USA.
Lawrence WeruHarvard Medical School, Boston, MA, USA.
Sofía RojasHarvard Medical School, Boston, MA, USA.
Alexander LexUniversity of Utah, Salt Lake City, UT, USA.
Nils GehlenborgHarvard Medical School, Boston, MA, USA. nils@hms.harvard.edu.

Funding

Grammar-Driven Genomic Data VisualizationR01HG011773 · NHGRI · HARVARD MEDICAL SCHOOL · PI GEHLENBORG, NILS · 2022 to 2025
$2.3M
Making Biomedical Data Resources and Visualizations AccessibleK99HG013348 · NHGRI · HARVARD MEDICAL SCHOOL · PI LYI, SEHI · 2024 to 2025
$288k
NHGRI NIH HHS K99 HG013348NHGRI NIH HHS R01 HG011773NIH HHS R01 HG011773
6 · The paper itself

Abstract

Individuals with disabilities participate notably less in the scientific workforce. While the reasons for this discrepancy are multifaceted, accessibility of knowledge is likely a factor. In the life sciences, digital resources play an important role in gaining new knowledge and conducting data-driven research. However, there is little data on how accessible essential life sciences resources are for people with disabilities. Our work is the first to comprehensively evaluate the accessibility of life sciences resources. To understand the current state of accessibility of digital data resources in the life sciences, we pose three research questions: (1) What are the most common accessibility issues?; (2) What factors may have contributed to the current state of accessibility?; and (3) What is the potential impact of accessibility issues in real-world use cases? To answer these questions, we collected large-scale accessibility data about two essential resources: data portals (n = 3,112) and journal websites (n = 5,099). Our analysis shows that many life sciences resources contain severe accessibility issues (74.8% of data portals and 69.1% of journal websites) and are significantly less accessible than US government websites, which we used as a baseline. Focusing on visual impairment, we further conducted a preliminary study to evaluate three data portals in-depth with a blind user, unveiling the practical impact of the identified accessibility issues on common tasks (53.3% success rate), such as data discovery tasks. Based on our results, we find that simply implementing accessibility standards does not guarantee real-world accessibility of life sciences data resources. We believe that our data and analysis results bring insights into how the scientific community can address critical accessibility barriers and increase awareness of accessibility, leading to more inclusive life sciences research and education. Our analysis results are publicly available at http://inscidar.org/ .

Indexed as

Access to InformationBiological Science DisciplinesHumansInternetPersons with Disabilities

Identifiers

PMID40604187
PMCPMC12222754

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.