Evidence map›Paper›PMID 37810363›Full record

ArticlePeerJ. Computer science2023

ELI: an IoT-aware big data pipeline with data curation and data quality.

Francisco José de Haro-Olmo, Alvaro Valencia-Parra, Ángel Jesús Varela-Vaca, José Antonio Álvarez-Bermejo, María Teresa Gómez-López

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ. Computer science, 2023. 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

5 authors.

Francisco José de Haro-OlmoDepartamento de Informática, Universidad de Almería, Almería, Spain.
Alvaro Valencia-ParraDepartamento de Lenguajes y Sistemas Informáticos, Universidad de Sevilla, Sevilla, Spain.
Ángel Jesús Varela-VacaDepartamento de Lenguajes y Sistemas Informáticos, Universidad de Sevilla, Sevilla, Spain.
José Antonio Álvarez-BermejoDepartamento de Informática, Universidad de Almería, Almería, Spain.
María Teresa Gómez-LópezDepartamento de Lenguajes y Sistemas Informáticos, Universidad de Sevilla, Sevilla, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of analysing data from IoT sensors requires the use of Big Data technologies, posing challenges such as data curation and data quality assessment. Not facing both aspects potentially can lead to erroneous decision-making (

Indexed as

Big data pipelineData curationData qualityInternet of ThingsSensors

Identifiers

PMID37810363
PMCPMC10557504

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.