Evidence map›Paper›PMID 41550368›Full record

ArticlePerspectives on behavior science2025

Relational Databases for Behavior Science.

Paul L Soto

Abstract read
In one paragraph

Article in Perspectives on behavior science, 2025. 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

1 author.

Paul L SotoDepartment of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA 70803 USA.ORCID 0000-0003-2930-6479

Funding

Persistent Effects of Dietary Protein Restriction on Protein Motivation and Underlying PhysiologyR15DK139555 · NIDDK · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI SOTO, PAUL · 2024 to 2024
$455k
NIDDK NIH HHS R15 DK139555
6 · The paper itself

Abstract

Data collection and analysis are central to scientific research, including in applied and basic behavior analysis. A substantial amount of attention has been given to how to rigorously collect and analyze data. Less attention has been paid to storing and maintaining research data, which becomes a critical step in the data analysis pipeline as the complexity and amount of data increase. Relational databases provide an efficient, reliable, and flexible method to store, maintain, and explore behavioral research data. The current article argues for the utility of relational databases in behavioral research, presents a brief introduction to relational databases, and uses some real-world examples to illustrate how relational databases have been used by the author and colleagues. Adopting relational databases to store and maintain research data would improve data integrity, facilitate data sharing between researchers, and contribute to transparency and reproducibility of analyses.

Indexed as

BehaviorData collectionData integrityData managementRelational databaseReproducibilitySpreadsheet

Identifiers

PMID41550368
PMCPMC12811190

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.