Definition

In an APC context, data use in surveying means the collection, analysis, storage and communication of structured information to inform professional decisions, support client advice and provide an auditable record of the surveyor's work. Data may be quantitative (costs, areas, measurements) or qualitative (condition descriptions, market commentary), and spans raw inputs through to analysed outputs such as reports and valuations.

Why this matters for Data Management

  • Level 1 knowledge: you must be able to give concrete examples of data use from your own daily practice — generic answers score poorly.
  • Assessors use this topic to test whether the candidate understands the difference between collecting data and managing it responsibly.
  • Data quality directly affects the reliability of professional advice; poor data leads to poor decisions and potential negligence liability.
  • The Data Protection Act 2018 and UK GDPR impose legal obligations on how personal data within datasets is handled.
  • Demonstrating varied, real examples shows the assessor that data management is embedded in your practice, not treated as an abstract concept.

Key principles

1. Market and comparables data

Surveyors rely on transactional evidence — sales prices, rental levels, yields — to produce valuations and market appraisals. This data is sourced from the Land Registry, CoStar, EGi and the firm's own deal register. The candidate should explain how comparable data is selected, adjusted and weighted, and how its provenance is recorded in the valuation file.

2. Measured survey and spatial data

Gross internal area, net internal area and site areas are fundamental datasets. Surveyors measure, verify and store floor areas using RICS guidance on the measurement of buildings, linking area data to cost plans, rent schedules and agency particulars. Laser-scanning and drone surveys increasingly generate point-cloud datasets that underpin measured survey work.

3. Cost and building condition data

Project quantity surveyors build cost databases from historical tender returns, subcontractor quotes and published price books for benchmarking and client reporting. Building surveyors capture condition data through structured inspection proformas that feed into asset management databases, driving planned maintenance programmes and budget forecasts.

Relevant RICS guidance and legislation

  • RICS Rules of Conduct (effective 2 February 2022) — Rule 5 requires members to handle and apply data with the care expected of a chartered professional.
  • RICS professional standard on the measurement of buildings — governs collection and reporting of spatial data across all pathways.
  • RICS Red Book Global Standards (effective 31 January 2022) — sets requirements for valuation data, evidence and assumptions in formal reporting.
  • Data Protection Act 2018 / UK GDPR — applies whenever the dataset contains personal data such as tenant names or client contact details.
  • ISO 19650 series — governs information management in the built environment, including how data is structured and controlled within BIM workflows.

Ethics and Rules of Conduct angle

Rule 5 of the RICS Rules of Conduct requires members to provide services competently. Using inaccurate or poorly sourced data to advise a client is a competence failure regardless of intent. The duty of competence extends to data literacy: surveyors must understand the limitations of the datasets they use and communicate those limitations honestly. Where data is personal, UK GDPR obligations are engaged and compliance is not optional.

APC-style Q&As

Q (Level 1)Give three examples of data a surveyor might use in their daily work.

Comparable rental or sales evidence for valuations; measured floor areas from site inspections; and building condition data from planned maintenance surveys. Each is collected, verified and stored as part of the professional record for the instruction.

Q (Level 1)What is the difference between data and information in a professional context?

Data is the raw, unprocessed input — for example, a list of recent transaction prices. Information is data that has been processed and interpreted to support a decision — for example, a schedule of adjusted comparables used to support a rent review opinion. Surveyors collect data but deliver information.

Q (Level 2)How do you ensure the data you use in your professional work is reliable?

(example) On a recent rent review instruction I sourced comparable evidence from our internal deal register, cross-checked against CoStar, and verified two key transactions by contacting the agents directly to confirm lease terms. I recorded all sources and adjustments in the valuation file so the reasoning is transparent and auditable. Where I was uncertain about a transaction's terms, I treated it as indicative only and weighted it accordingly.

Q (Level 2)What obligations does UK GDPR place on a surveyor who holds a schedule of tenant contact details?

The schedule constitutes personal data under the Data Protection Act 2018 and UK GDPR. The firm must have a lawful basis for processing, handle the data securely, retain it only as long as necessary, and not share it without authority. Tenants have rights of access and erasure, and the data must be kept accurate.

Q (Level 3)A client asks you to use a dataset that you believe is incomplete to produce a market valuation report. How do you respond?

My obligation under Rule 5 is to provide a competent service, requiring the data underpinning a valuation to be sufficient and reliable. I would explain to the client that proceeding on the available data would compromise the defensibility of the opinion, and propose either gathering additional evidence or issuing a restricted opinion with explicit caveats — documenting that discussion in writing. Issuing an uncaveated valuation on inadequate data would expose both the client and the firm to significant risk.