Summary  
This chapter covers designing structured data models for evidence items by specifying required fields and constraints to ensure accurate, traceable, and context-rich information handling.

General domain of usage  
Research data management  

A source is where information comes from. Evidence is the specific information from that source that helps answer a research question.

Saving a full article or report is not enough. Claude should extract only the relevant facts, statistics, examples, and conclusions.

For each piece of evidence, record:

* the claim or finding;
* the source it came from;
* the research question it supports;
* any important context or limitations.

Evidence should accurately reflect the original source. Claude should not change the meaning, remove important context, or present an opinion as a confirmed fact.

Strong evidence is relevant, specific, traceable, and supported by a reliable source.

What details should be recorded for each piece of evidence when conducting AI research?

Build a complete AI-powered research system using Claude Code. You will learn how to turn a broad topic into focused research questions, create a structured plan, find and evaluate reliable sources, and organise evidence in a reusable workspace. Through practical AI Lab chapters, you will create source libraries, compare conflicting information, store findings in a research database, and produce clear research briefs with accurate citations. By the end of the course, you will have a repeatable Claude Code workflow that can be used for future research projects.

Learn what makes a research system reliable and how to prepare a structured workspace before collecting information. You will define research questions, set the scope of the project, and create a clear research plan for Claude to follow.

Learn how to find relevant information and judge whether a source is trustworthy. You will remove weak, outdated, and duplicate sources before organising the strongest results into a structured source library.

Turn collected sources into clear and usable evidence. You will extract key findings, compare sources that disagree, and build a research database that keeps claims, evidence, and source details connected.

Use the collected evidence to develop supported conclusions and create a concise research brief. You will review claims and citations for accuracy before turning the complete process into a reusable Claude Code workflow.

From Evidence to Conclusions