Evidence map›Paper›PMID 36793675›Full record

ArticleMethodsX2023

Data pipeline for managing field experiments.

Jian Liu, Rogerio Cichota, Stephanie Langer, Eric Burgueño, Alexandre Michel

Abstract read
In one paragraph

Article in MethodsX, 2023. 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. Article
  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

5 authors.

Jian LiuThe New Zealand Institute for Plant and Food Research Limited, New Zealand.
Rogerio CichotaThe New Zealand Institute for Plant and Food Research Limited, New Zealand.
Stephanie LangerThe New Zealand Institute for Plant and Food Research Limited, New Zealand.
Eric BurgueñoThe New Zealand Institute for Plant and Food Research Limited, New Zealand.
Alexandre MichelThe New Zealand Institute for Plant and Food Research Limited, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As agricultural and environmental research projects become more complex, increasingly with multiple outcomes, the demand for technical support with experiment management and data handling has also increased. Interactive visualisation solutions are user-friendly and provide direct information to facilitate decision making with timely data interpretation. Existing off-the-shelf tools can be expensive and require a specialist to conduct the development of visualisation solutions. We used open-source software to develop a customised near real-time interactive dashboard system to support science experiment decision making. Our customisation allowed for: • Digitalised domain knowledge via open-source solutions to develop decision support systems. • Automated workflow that only executed the necessary components. • Modularised solutions for low maintenance cost and upgrades.

Indexed as

Data pipeline for managing field experimentsData streamliningExperiment managementReal-time visualisation

Identifiers

PMID36793675
PMCPMC9922957

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.