Data documentation



Organised by:

UK Data Services


Maureen Haaker and Anca Vlad


Entry (no or almost no prior knowledge)


Emma Green

video conference logo

Venue: Online


Data documentation is essential to make sure that well-organised and well-documented research data can be produced from our research projects. This free introductory workshop on data documentation is intended for researchers and anyone who wants to learn how to best document research data. This workshop provides an overview of different types of documentation depending on data type (qualitative, quantitative), as an essential part of implementing good data management in research projects, with a focus on optimising data sharing.

In this session we will discuss key essential processes:

  • What is data documentation and how to document your data appropriately and effectively.
  • Different types of documentation depending on data type and how to create these, with examples.
  • What is metadata and what you need to know about it when sharing data.

This 90 minute workshop will consist of a 45 minute presentation, followed by a 30 minute practical element and finishing with 15 minutes for questions and discussion.

Presenters: Maureen Haaker and Anca Vlad

Level: Introductory
Experience/knowledge required: Basic methods of qualitative or quantitative data research
Target audience: Researchers/anyone interested in data documentation and data management

We will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this, such as a smartphone.

This event is part of our UK Data Service introductory training series: Spring 2023.

This event will be livestreamed on our UK Data Service YouTube channel but the chat will be disabled. By registering and attending the Zoom event you will be able to ask questions and interact.

Recordings of UK Data Service events are made available on our YouTube channel and, together with the slides, on our past events pages soon after the event has taken place.



Website and registration:




Data Collection, Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis

Related publications and presentations:

Data Collection
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis

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