# SAVRN Research and Editorial Methodology Source: https://savrn.com/research-methodology Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- SAVRN Research · Editorial standard # AI infrastructure research methodology. How SAVRN sources evidence, labels claims and updates its research. We separate facts, calculations, design assumptions, proposals, and operating evidence so a reader can tell what is known and what remains conditional. [Explore data center research](https://savrn.com/data-center-research)Submit a research correction Editorial owner SAVRN Research Methodology updated September 12, 2026 SAVRN ResearchEvidence → claim ## Source record 1. Identify the document, its date and the evidence it contains. 1. SourceDateScope ## Claim & boundaries 2. State what the evidence supports and what remains conditional. 2. StatusUnitsAssumptions ## Review & update 3. Keep the editorial context visible as the evidence changes. 3. ReviewCorrections From source to published claim 01 / Source hierarchy ## Primary sources and technical evidence. We prefer primary records and technical documentation. Secondary reporting helps us discover developments and understand their context; material claims are checked against primary records where practical. 01 / Sources ### Public records & decisions Start with the record behind a policy, project or infrastructure decision. Read the document in its jurisdiction and at the stage it describes. Examples Statutes, agency records, permits, utility filings and system-operator filings. 02 / Sources ### Research & technical documentation Use technical sources to understand methods, equipment and operating requirements. Keep test conditions, specifications and limitations attached to the claim. Examples Research papers, standards and manufacturer documentation. 03 / Sources ### Reporting & context Use secondary reporting to discover developments and understand their context, then check material claims against primary records where practical. Examples News coverage and other secondary accounts that point to the underlying evidence. Across every source type ### Keep the comparison and its limits visible. - Date and link material sources. - Preserve units and comparison boundaries. - Label estimates, assumptions and unresolved contradictions. - Avoid converting a reference design into an operating claim. 02 / Claim labels ## Research claims and evidence labels. A published record, a calculation and a reference design establish different things. The label and its boundaries help readers assess the evidence without treating every statement as an operating result. ### Fact supported by a source What it means A statement supported by an identified record, read with its date, scope and context. What to check What does the underlying record actually establish? ### Calculation or estimate What it means A result derived from inputs and a method. Units, assumptions and comparison boundaries determine how to interpret it. What to check Are the inputs, units and method comparable? ### Design assumption What it means A condition or target used to develop a reference design. It describes the basis of the design rather than measured operation. What to check Which conditions must hold for the design to apply? ### Proposal or planned work What it means An announced, introduced or proposed action. Its status depends on the decisions, approvals and commitments still required. What to check What has happened, and what remains conditional? ### Operating evidence What it means Records supporting what has been built, commissioned or measured in operation. A rendering or program model does not establish an operating result. What to check Which records support the specific operating claim? ### Unresolved question What it means An evidence gap or contradiction that remains open. The uncertainty stays visible rather than becoming an unsupported conclusion. What to check What evidence is missing or in conflict? 03 / Editorial review ## Editorial review and research updates. Review establishes the context for a claim. Updates keep that context useful when a source, project status or underlying assumption changes. ### Identify the source and scope. 1. Connect the claim to its source, date, units and comparison boundary. Establish whether it describes a fact, calculation, assumption, proposal or operating result. ### Review the claim in context. 2. Keep estimates and unresolved contradictions visible. Material topic pages carry a review date and editorial owner so readers can understand the review context. ### Update when evidence changes. 3. Update the page and its source register as material evidence changes. A review date describes the editorial review; it does not certify every underlying project or forecast. 04 / Corrections ## Submit a research correction. If a claim needs correcting or new evidence changes its context, send the page, the specific claim and the supporting record to SAVRN Research. research@savrn.com ### Include three things. 1. The page URLLink to the SAVRN page you are referencing. 2. The exact claimQuote or identify the statement that needs attention. 3. The supporting sourceShare the record or evidence behind the correction. ### What review does not mean Editorial review is not engineering certification, legal advice, accreditation, an investment recommendation, or confirmation that a proposed project has been financed, permitted, contracted, built, or commissioned. Explore SAVRN research ## Explore AI infrastructure research. Use the trackers, source registers and reference designs to examine AI infrastructure questions. The SAVRN Index also carries its own methodology and comparison standards. ### Data center trackers & maps Explore policy, project delays, power, water and investment across the public research hub. [Browse data center research](https://savrn.com/data-center-research) ### Research sources Find the records and references that support SAVRN’s public research. [Explore research sources](https://savrn.com/sources) ### Case studies & reference designs Read the evidence status of campus designs, university workflows and workforce program models. [Review AI infrastructure case studies](https://savrn.com/case-studies) ### SAVRN Index methodology Read the separate standard behind the Index’s infrastructure research and comparisons. [Read the SAVRN Standard](https://savrn.com/ai-index/standard) For project discussions, [explore how to work with SAVRN](https://savrn.com/engage)