Collect & Clean

Data Collection & Cleaning

Survey design, field collection and careful cleaning, delivered with a full audit trail from raw file to final dataset.

Google FormsSurveyMonkeyKoboQualtricsODKPythonR
Data Collection and Cleaning banner, captioned High-quality data for reliable analysis: a raw data table with inconsistent city names, missing values and mixed date formats beside its cleaned version, a laptop showing a 98 percent data quality score with duplicates removed and formats standardised, above six steps: collect, profile, clean, standardise, validate and output
Overview

What Our Data Collection & Cleaning Service Covers

Everything between an empty form and a dataset you can trust. We design instruments in Google Forms, SurveyMonkey, KoboToolbox, Qualtrics and ODK, then set the skip logic, constraints and validation rules that stop bad values entering in the first place. Once collection closes we handle the unglamorous half of the work in Python and R: deduplication, missing value treatment, outlier review, variable recoding, label harmonisation and merging across waves or sources. You receive the clean dataset, the raw file it came from, and a written log of every transformation applied between the two.

Clipboard with a checklist beside an open laptop on a marble desk
Tools We Use
Google FormsSurveyMonkeyKoboQualtricsODKPythonR
What You Get

What's Included

Every engagement is scoped in writing, but these are the deliverables you can expect as standard.

01

Instrument design

Questionnaires built in Kobo, ODK, Qualtrics, SurveyMonkey or Google Forms with skip logic and validation.

02

Collection setup

Offline capable forms, enumerator guides and real time monitoring for field teams.

03

Deduplication and merging

Duplicate removal and careful merging across survey waves, sites or source systems.

04

Missing value treatment

Patterns of missingness assessed and handled with a documented, defensible approach.

05

Recoding and labelling

Variables recoded, value labels harmonised and a codebook produced for every field.

06

Cleaning log

A written record of every change between the raw file and the clean dataset.

Who It's For

Built for Teams Like Yours

If any of these sound familiar, this service is a good place to start.

  • NGOs and development programmes running field surveys
  • Researchers preparing primary data collection
  • Businesses consolidating messy customer or sales records
  • Teams inheriting inconsistent historical datasets
How It Works

From Brief to Delivery

  1. 01

    Review objectives

    We confirm what the data must measure and design the instrument around those indicators.

  2. 02

    Build and pilot

    The form is built, tested with a small group and corrected before full rollout.

  3. 03

    Collect and monitor

    Submissions are checked daily so problems are fixed while enumerators are still in the field.

  4. 04

    Clean and deliver

    You receive the clean dataset, the raw file, the codebook and the full cleaning log.

Questions

Data Collection & Cleaning FAQs

Can you clean data we already collected?

Yes. Send the raw files and any codebook you have. We start with a quality assessment so you know what you are dealing with.

Do you support offline field collection?

Yes. Kobo and ODK forms work fully offline and sync when enumerators are back in coverage.

Will we still have the original data?

Always. The raw file is never overwritten, and every transformation is documented so it can be reversed or audited.