Evidence map›Paper›PMID 39632624›Full record

ReviewScience progress

Large-scale research infrastructure projects: A conceptual review for science policy and management.

David C Eggleton

Abstract readReview
In one paragraph

Review in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

David C EggletonScience Policy Research Unit (SPRU), University of Sussex, Brighton, UK.ORCID 0000-0003-1871-8953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article reviews 'large-scale research infrastructures' work and other relevant literature from the science policy and management domains. Through a systematic literature review, the study identifies that there are no firm inclusion or exclusion criteria for a large-scale research infrastructure. The findings identify the need for filling this knowledge gap to support future analyses for large-scale research infrastructures to help scientists and science policymakers understand, plan, and evaluate their own work. A refined version of one of the concepts examined in this article, the 'large international science project', provides the most fruitful starting point.

Indexed as

big sciencelarge international science projectliteraturemegascienceResearch infrastructuretheory

Identifiers

PMID39632624
PMCPMC11618932

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.