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A good summary tells a reader what you think. A useful research record also lets the reader establish how you reached that view.
Start with the question
State the decision or comparison being investigated. Define the terms that could change the answer: measurement period, units, universe and treatment of missing information. This makes it easier to recognise when two analysts are actually answering different questions.
Retain the source and transformation
Keep the document version, observation date and a record of any changes applied to the data. Separate an original value from a calculated one. If a spreadsheet adjusts a reported measure, the adjustment should be understandable without asking its author to remember it.
For an illustrative margin comparison, record revenue and profit definitions for each company. A visually tidy chart can still compare different accounting measures if the worksheet omits this step.
Leave room for disagreement
Record alternative explanations and unresolved questions. A later reviewer should be able to distinguish a confirmed observation from an interpretation and an assumption. Corrections should preserve enough history to explain what changed.
SEBI’s chairman discussed data ownership, lineage and accountability in a February 2026 address. The checklist above is our practical application to research documentation, not an official reporting template or evidence that a particular analysis is correct.
Reproducibility supports a better conversation. It does not turn uncertainty about markets into certainty.
