1/ The Scale of the Problem Dr. Drummond Fielding at @Cornell runs galactic plasma simulations that produce petabytes of data. One frame can reach 80 terabytes. Supercomputers purge old files, and researchers lose critical results once storage quotas expire.

2/ The Cost of Data Loss Re-running these simulations costs hundreds of thousands of dollars in compute and power. Lost data means lost years of work and limited collaboration across research teams.

3/ The Discovery of Ramo Fielding adopted @ramo_io, a network that helps transfer large scientific datasets to Filecoin. Using Globus, the setup took minutes and integrated easily with existing high-performance computing systems.

4/ A New Data Workflow After each simulation, Fielding archives raw data through Ramo and keeps smaller subsets for analysis. His results stay accessible, and institutional systems stay manageable.

5/ Why Filecoin Fits Research @Filecoin stores data transparently and resists silent alteration. Each upload creates a traceable record, supporting data integrity and academic accountability.