Onchain research starts not with the data itself, but with the question that needs to be answered. Where is capital moving? Is an ecosystem’s growth sustainable? What changed before and after a market event? Dashboards are effective at answering predefined questions; research continually changes the scope and methodology as new hypotheses emerge.

Blockchain data is public, but making it research-ready is a different challenge. As analysis scales, the burden shifts from accessing data to consistently collecting, validating, and maintaining historical datasets. For professional research teams, reproducibility and reusability become critical: analyses need to be rerun, reviewed by other analysts, and extended to new hypotheses without rebuilding the underlying data foundation.

This DataShare Insight examines the data foundation required for repeatable onchain research and the role Nodit DataShare can play in providing it. It also looks at how the expansion of financial activity onchain, including RWAs, is creating new research areas, using Solana as an example.

TL;DR:

• Onchain analysis increasingly informs market, ecosystem, and investment decisions, yet every conclusion rests on the quality and continuity of the data beneath it.

• Public blockchain data is accessible, but converting historical activity into a consistent research dataset still requires substantial collection, validation, and ongoing maintenance.

• A reusable onchain dataset allows research and strategy teams to investigate new questions, compare activity over time, and reproduce analysis without rebuilding the data foundation for each project.

• DataShare delivers standardized onchain datasets directly into existing data environments, enabling analysts to focus on research and investigation instead of data preparation.