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Stephen G Gaffney1, Omer Ad2, Sarah Smaga2

  • 1Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut 06510, United States.

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Summary
This summary is machine-generated.

A new software infrastructure, GEM-NET, was developed for the Center for Genetically Encoded Materials (C-GEM) to enhance collaboration and communication for multi-institution research teams. This system integrates task management, data sharing, and communication tools for seamless scientific endeavors.

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Area of Science:

  • Chemical Innovation
  • Materials Science
  • Computational Chemistry

Background:

  • Multi-institution research collaborations require robust communication and data-sharing infrastructure.
  • The Center for Genetically Encoded Materials (C-GEM) faced challenges in coordinating research across three university campuses.
  • A unified software solution was needed to facilitate seamless collaboration among C-GEM members.

Purpose of the Study:

  • To design and implement GEM-NET, a comprehensive software infrastructure for C-GEM.
  • To integrate task management, scheduling, data sharing, and collaborative editing functionalities.
  • To ensure secure data handling and internal/public communication for a distributed research team.

Main Methods:

  • Development of a custom software infrastructure named GEM-NET.
  • Integration of modules for task management, scheduling, and data sharing.
  • Implementation of collaborative document and code editing features.
  • Focus on secure data management and communication protocols.

Main Results:

  • Successful implementation of GEM-NET, enabling seamless collaboration for C-GEM.
  • GEM-NET supports both scientific tasks and communication, enhancing team efficiency.
  • Open-source code for custom applications is shared to benefit other research teams.
  • Demonstrated applicability of GEM-NET for diverse teams, both small and large.

Conclusions:

  • GEM-NET provides a model for software infrastructure development in multi-institution research.
  • The system facilitates efficient scientific communication and data management.
  • Lessons learned from GEM-NET development can guide other interdisciplinary teams.
  • The open-source nature of GEM-NET promotes wider adoption and adaptation.