Evidence map›Paper›PMID 40666373›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Stanford Screenomics: An Open-source Platform for Unobtrusive Multimodal Digital Trace Data Collection from Android Smartphones.

Ian Kim, Jack Boffa, Mujung Cho, David E Conroy, Nathan Kline, Nick Haber, Thomas N Robinson, Byron Reeves, Nilàm Ram

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

9 authors.

Ian KimDepartment of Psychology, Stanford University, Stanford, CA, USA.
Jack BoffaDepartment of Psychology, Stanford University, Stanford, CA, USA.
Mujung ChoResearch Center for Humanities and Social Sciences, Academia Sinica, Taipei City, Taiwan.
David E ConroySchool of Kinesiology, University of Michigan, Ann Arbor, MI, USA.
Nathan KlineDepartment of Pediatrics, Stanford University, Stanford, CA, USA.
Nick HaberGraduate School of Education, Stanford University, Stanford, CA, USA.
Thomas N RobinsonDepartment of Pediatrics, Stanford University, Stanford, CA, USA.
Byron ReevesDepartment of Communication, Stanford University, Stanford, CA, USA.
Nilàm RamDepartment of Psychology, Stanford University, Stanford, CA, USA.

Funding

Teen screen diets and their relationships with dietary intake: setting the stage for precision interventions and evidence-based policiesR01HL169601 · NHLBI · STANFORD UNIVERSITY · PI Nicholas Haber, THOMAS N. ROBINSON · 2023 to 2026
$3.1M
NHLBI NIH HHS R01 HL169601
6 · The paper itself

Abstract

Smartphone-based digital trace data can offer powerful insights for identifying behavioral patterns and health risks. However, existing tools for comprehensive data collection lack scalability, customizability, transparency, and accessibility. To address these gaps, we developed an open-source platform that enables in-situ capture of multimodal digital traces from smartphones (e.g., moment-by-moment capture of screenshots, application usage logs, interaction histories, and phone sensor readings). The Stanford Screenomics Data Collection application allows researchers to tailor data types and quality, data transfer methods, and upload cadence. The Dashboard application supports real-time monitoring of participants' data provision, identification of data issues, and automated reactive communications to participants. The platform's back-end employs a NoSQL database for secure, and HIPAA-compliant storage. Using illustrative 24-hour digital trace data we demonstrate how the platform expands the range of possible digital phenotyping studies.

Indexed as

digital healthdigital medicinedigital trace datamobile health data

Identifiers

PMID40666373
PMCPMC12262737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.