Evidence map›Paper›PMID 41394248›Full record

ArticleAERA open

Data Deidentification for Data Sharing in Educational and Psychological Research: Importance, Barriers, and Techniques.

Jeffrey A Shero, Alexis E Swanz, Allyson L Hanson, Sara A Hart, Jessica A R Logan

Abstract read
In one paragraph

Article in AERA open. 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.

Jeffrey A SheroVanderbilt University, Department of Special Education.
Alexis E SwanzVanderbilt University, Department of Special Education.
Allyson L HansonVanderbilt University, Department of Special Education.
Sara A HartUniversity of Waterloo, Department of Psychology.
Jessica A R LoganVanderbilt University, Department of Special Education.

Funding

THE FLORIDA LONGITUDINAL STUDYP50HD052120 · NICHD · FLORIDA STATE UNIVERSITY · PI CHRIS W SCHATSCHNEIDER · 2006 to 2026
$31.7M
An Open Learning Disabilities Behavioral Data RepositoryR01HD095193 · NICHD · FLORIDA STATE UNIVERSITY · PI HART, SARA ANN, SCHATSCHNEIDER, CHRIS W · 2019 to 2023
$2.9M
An Integrated Data Approach to Exploring Variability in Reading Intervention EffectivenessR01HD110533 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Jessica R. Toste · 2023 to 2026
$2.4M
Data Management for Data Sharing: A Short Course for Researchers in Children’s Learning and DevelopmentR25HD114368 · NICHD · VANDERBILT UNIVERSITY · PI Sara Ann Hart, Jessica Ann Logan · 2024 to 2026
$630k
NICHD NIH HHS P50 HD052120NICHD NIH HHS R01 HD095193NICHD NIH HHS R01 HD110533NICHD NIH HHS R25 HD114368
6 · The paper itself

Abstract

In this manuscript, we discuss the importance of data sharing in educational and psychological research, emphasizing the historical context of data sharing, the current open science movement, and the so-called replication crisis. We additionally explore the barriers to data sharing, particularly the fear of incorrectly deidentifying data or accidentally including private information. We then highlight the importance of deidentifying data for data sharing. Finally, we present specific techniques for data deidentification, namely non-perturbative and perturbative methods, and make recommendations for which techniques are relevant for specific types of variables. To assist readers in implementing the material from this study, we have additionally created an interactive tutorial as a Shiny web application, which is publicly available and free to use.

Indexed as

data anonymitydata deidentificationdata privacydata sharingopen science

Identifiers

PMID41394248
PMCPMC12700633

What OpenQuestion holds

Textmetadata
LicenceTDM
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.