ArticlePloS one2026
Data capture, collection, management, and storage systems for clinical research: A scoping review protocol.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The boom and constant transformation of biomedical research have led to the development of different electronic systems or platforms that allow researchers to respond to market demands and clinical research governance. The objective of this scoping review is to map and synthesize existing literature on data capture, collection, management, and storage systems for clinical or hospital research. The methods of this protocol will be used to conduct a scoping review (2000-2025) in accordance with the Joanna Briggs Institute methodological frameworks. Documents that include relevant information about systems for collecting, managing, and storing clinical or hospital research information will be included, following the Population-Concept-Context (PCC) question. Electronic searches will be conducted in Medline (PubMed), EMBASE, SCOPUS, LILACS, Web of Science, and IEEE-Xplore databases, as well as in gray literature through Google Scholar and by snowballing references and citations from studies. The selection and data extraction procedures will be conducted in duplicate and independently. A descriptive narrative synthesis approach to the information will be preferred, with the answers to the research questions being prioritized. This scoping review does not require an ethical review because it does not include the primary information of the participants or the handling of sensitive data. The aim is to identify and analyze relevant literature on clinical research information management systems to provide system developers, clinical researchers, and healthcare institutions with practical frameworks for designing and developing new platforms. This protocol has not completed the search and screening of records.
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What OpenQuestion holds
Registered trials
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.