TAMing The Terabytes

Addressing Research Data Management PROBLEM at Princeton University

What is Research Data Management?

The process of giving data the proper labeling, storage, and access at every stage of a research endeavor is known as research data management.
Understanding RESearch data management Landscape
The research domain is fraught with challenges stemming from decentralization, technical constraints, and collaboration obstacles. Embracing the gold standards of Open Science and FAIR principles represents our proactive approach to address these pressing issues.
Findability
Inadequate labeling and metadata hinder data discovery during research endeavors.
Accessibility
Limited accessibility impedes authorized researchers from promptly accessing crucial data.
Interoperability
Inconsistent formats hinder data compatibility across various tools, complicating research workflows and collaboration.
Reusability
Insufficient documentation hampers future research endeavors by rendering data incomprehensible and unusable.
Findability
Inadequate labeling and metadata hinder data discovery during research endeavors.
Accessibility
Limited accessibility impedes authorized researchers from promptly accessing crucial data.
Interoperability
Inconsistent formats hinder data compatibility across various tools, complicating research workflows and collaboration.
Reusability
Insufficient documentation hampers future research endeavors by rendering data incomprehensible and unusable.
AT PRINCETON,
How might we transform research data management to enhance meaningful collaboration, optimize storage, and improve efficiency, ensuring enduring research value?