# The Super Spreadsheet: collaborative information infrastructure in translational teams

## TL;DR

This paper explores how clinical and translational research teams manage information, highlighting the importance of aligning individual and collective practices for effective collaboration.

## Contribution

The study introduces a typology of information and identifies tensions in information practices within translational research teams.

## Key findings

- Teams progress through research by managing dispersed information across tools.
- Misaligned information management leads to delays, while alignment improves workflow fluency.
- Information practices are often undervalued compared to data management.

## Abstract

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).

We interviewed 48 team members across 10 U.S.-based teams.

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.

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.