Evidence map›Paper›PMID 41602659›Full record

ArticleFrontiers in psychology2025

The Super Spreadsheet: collaborative information infrastructure in translational teams.

Shruthi Venkatesh, Betsy Rolland

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

2 authors.

Shruthi VenkateshMichigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, MI, United States.
Betsy RollandMichigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, MI, United States.

Funding

Enabling High-Impact Collaborative Clinical and Translational Research through Effective Information Management: A Prototype InterventionR01LM014237 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Betsy Ann Rolland · 2023 to 2026
$1.4M
NLM NIH HHS R01 LM014237
6 · The paper itself

Abstract

Introduction: Science teams rely on multiple types of information to communicate, coordinate, and collaborate on their research and operational endeavors. While the Science of Team Science (SciTS) offers robust literature on how such teams use and manage their data, we know relatively little about their collective information behaviors. This paper, the first in a series, reports findings from the Information Management Prototype for Clinical and Translational Research (IMPACT-CTR) study, which examines collaborative information infrastructure within one type of science team: clinical and translational research teams (CTRTs). Methods: We interviewed 48 team members across 10 U.S.-based teams. Results: Analyses revealed that CTRTs progress through the research lifecycle of their collaborations by maneuvering several types of information dispersed across various tools, while simultaneously managing their individual information organizational styles in relation to those of their team members. Unlike data, the role of information in their work was often overlooked or undervalued. Teams with misaligned information management experienced time lags and slower project progress, whereas alignment fostered fluency in their work. Discussion: By generating a typology of information and identifying tensions between individual and collective information practices, this study facilitates our understanding of how to support rigorous and reproducible team science practices in CTRTs.

Indexed as

collaborationcollaboration infrastructureinformation managementteam sciencetranslational teams

Identifiers

PMID41602659
PMCPMC12833019

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.