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Related Experiment Video

Updated: Jun 17, 2025

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Behavioral science labs: How to solve the multi-user problem.

Diederick C Niehorster^1,2, Marianne Gullberg^3,4, Marcus Nyström³

¹Lund University Humanities Lab, Lund University, Lund, Sweden. diederick_c.niehorster@humlab.lu.se.

Behavior Research Methods

|August 12, 2024

Summary

This summary is machine-generated.

Shared lab resources in behavioral sciences can compromise data integrity. We present labManager, an open-source tool providing separated environments to ensure experimental integrity and data safety for multiple research projects.

Keywords:

Computer setup Data safety Eye-tracking Multi-user Remote management

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Published on: February 26, 2014

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The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Area of Science:

Behavioral Sciences
Computer Science
Research Infrastructure

Background:

Shared laboratory resources across multiple research projects present challenges.
Ensuring experimental integrity, replicability, and data safety is crucial in multi-user facilities.
Conflicting software requirements and data exposure risks can arise in shared environments.

Purpose of the Study:

To provide an infrastructure design and an open-source tool for managing shared lab facilities in the behavioral sciences.
To enhance accessibility for research projects with diverse and conflicting needs.
To ensure data separation and compliance with regulations like GDPR.

Main Methods:

Development of an infrastructure design for shared lab facilities.
Creation of an open-source tool named labManager.
Implementation of fully separated bare metal environments for each research project.

Main Results:

labManager provides a flexible and manageable solution for shared behavioral science labs.
The system ensures complete separation of bare metal environments for different research projects.
Collected data is kept separate, adhering to ethical standards and General Data Protection Regulation (GDPR) legislation.

Conclusions:

The proposed infrastructure and labManager tool effectively address challenges in shared lab resource management.
This solution enhances flexibility and security in multi-user research settings.
Practical advice and preconditions for operating shared lab facilities are discussed.