Evidence map›Paper›PMID 40331050›Full record

ArticleBeilstein journal of organic chemistry2025

Data accessibility in the chemical sciences: an analysis of recent practice in organic chemistry journals.

Sally Bloodworth, Cerys Willoughby, Simon J Coles

Abstract read
In one paragraph

Article in Beilstein journal of organic chemistry, 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. Review
  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

3 authors.

Sally BloodworthSchool of Chemistry and Chemical Engineering, University of Southampton, Highfield, Southampton SO17 1BJ, UK.ORCID https://orcid.org/0000-0003-2219-3635
Cerys WilloughbySchool of Chemistry and Chemical Engineering, University of Southampton, Highfield, Southampton SO17 1BJ, UK.ORCID https://orcid.org/0000-0003-1721-9212
Simon J ColesSchool of Chemistry and Chemical Engineering, University of Southampton, Highfield, Southampton SO17 1BJ, UK.ORCID https://orcid.org/0000-0001-8414-9272

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discoverability and reusability of data is critical for machine learning to drive new discovery in the chemical sciences, and the 'FAIR Guiding Principles for scientific data management and stewardship' provide a measurable set of guidelines that can be used to ensure the accessibility of reusable data. We investigate the data practice of researchers publishing in specialist organic chemistry journals, by analyzing the outputs of 240 randomly selected research papers from 12 top-ranked journals published in early 2023. We investigate compliance with recommended (but not compulsory) data policies, assess the accessibility and reusability of data, and if the existence of specific recommendations for publishing NMR data by some journals supports author compliance. We find that, although authors meet mandated requirements, there is very limited compliance with data sharing policies that are only recommended by journals. Overall, there is little evidence to suggest that authors' publishing practice meets FAIR data guidance. We suggest first steps that researchers can take to move towards a positive culture of data sharing in organic chemistry. Routine actions that we encourage as standard practice include deposition of raw and metadata to open repositories, and inclusion of machine-readable structure identifiers for all reported compounds.

Indexed as

data availabilityFAIR principlesjournal guidelinesNMR dataorganic chemistry

Identifiers

PMID40331050
PMCPMC12051459

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.