Evidence map›Paper›PMID 31576230›Full record

ReviewPsychologica Belgica2019

Psychometrics Anonymous: Does a Transparent Data Sharing Policy Affect Data Collection?

Julia Charlotte Eberlen, Emmanuel Nicaise, Sarah Leveaux, Youri Léon Mora, Olivier Klein

Open access · goldAbstract readReview
In one paragraph

Review in Psychologica Belgica, 2019. 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
0.6field-weighted citation impact, top 28% of its field
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, 7 citations in OpenAlex.

  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

5 authors at 2 institutions in 2 countries.

Julia Charlotte EberlenUniversité Libre de Bruxelles (ULB), BE.
Emmanuel NicaiseUniversité Libre de Bruxelles (ULB), BE.
Sarah LeveauxUniversité Lumière Lyon 2, FR.
Youri Léon MoraUniversité Libre de Bruxelles (ULB), BE.
Olivier KleinUniversité Libre de Bruxelles (ULB), BE.
Université Libre de Bruxelles · BEUniversité Lumière Lyon 2 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As researchers, we are advised to share our data to improve transparency and increase the reproducibility of experiments. Simultaneously, making data freely accessible can raise ethical questions regarding the participants' privacy. We first outline the challenges regarding "open data" for researchers in light of the GDPR. Then, we turn to the impact of an open-access data sharing policy on the participants: could the participants' knowledge about the future use of the data alter the data itself? Through two pre-registered studies (N = 193, collected on campus and N = 543, online participation), we investigate whether disclosing that anonymized data will be publicly shared vs. not shared influences a potential participants' intention to take part in the study. Using both frequentist and Bayesian analysis, we conclude towards an absence of effect of a difference in data sharing policy on scores in the Big Five questionnaire and social desirability, careless response behavior, and results in the anchoring paradigm. In the second study, a lexicometric analysis of participants' reactions to openly sharing data reveals a readiness to share data and support transparency under the condition of preserved anonymity. Hence, if anonymity can be ensured, there seems to be no methodological or ethical drawback in transparent and open data sharing policies for many psychological studies.

Indexed as

anonymitydata accessibilityGDPRmethodsopen scienceprivacypsychology

Identifiers

PMID31576230
PMCPMC6753307
OpenAlexW2947041888

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.