Evidence map›Paper›PMID 33530672›Full record

ArticleEmerging topics in life sciences2018

Digital publishing isn't enough: the case for 'blueprints' in scientific communication.

Laura D Jennings-Antipov, Timothy S Gardner

Abstract read
In one paragraph

Article in Emerging topics in life sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Laura D Jennings-AntipovRiffyn, Oakland, CA, U.S.A.
Timothy S GardnerRiffyn, Oakland, CA, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the time of Newton and Galileo, the tools for capturing and communicating science have remained conceptually unchanged - in essence, they consist of observations on paper (or electronic variants), followed by a 'letter' to the community to report your findings. These age-old tools are inadequate for the complexity of today's scientific challenges. If modern software engineering worked like science, programmers would not share open source code; they would take notes on their work and then publish long-form articles about their software. Months or years later, their colleagues would attempt to reproduce the software based on the article. It sounds a bit silly, and yet even, this level of prose-based methodological discourse has deteriorated in science communication. Materials and Methods sections of papers are often a vaguely written afterthought, leaving researchers baffled when they try to repeat a published finding. It's time for a fundamental shift in scientific communication and sharing, a shift akin to the advent of computer-aided design and source code versioning. Science needs reusable 'blueprints' for experiments replete with the experiment designs, material flows, reaction parameters, data, and analytical procedures. Such an approach could establish the foundations for truly open source science where these scientific blueprints form the digital 'source code' for a supply chain of high-quality innovations and discoveries.

Indexed as

experimental designreporting toolsreproducibilityRiffynscientific publishingsoftware

Identifiers

PMID33530672
PMCPMC7289030

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.