How to structure and write lab reports

This page will help you to structure and format a lab report, also known as a scientific report.

On

What is a lab report?

Purpose

Lab reports, or scientific reports, are the primary vehicle used to disseminate and communicate scientific research methods across science and engineering disciplines.

They are structured and formulaic, to make it as easy as possible for a reader to understand the background, aims, methodology and findings of a particular experiment or technique.

Lab reports usually follow very closely prescribed formats. It's essential that you pay very careful attention to the specific guidelines issued with your experimental brief.

Sections of a lab report

Typically, a lab report is broken down into discrete sections, separated by subheadings. These will include the following:

  • an abstract, outlining in brief what was done and what was found
  • a point-by-point description of the experimental method followed (a bit like a recipe)
  • a clear presentation of all of the results observed, some of which may be placed in an appendix to the main report
  • a discussion of the results
  • a brief conclusion and references

Language

Lab reports are written in a neutral and objective tone and are kept as short, concise and to the point as possible.

Lab reports should not have complicated language, which might impact on the clarity of their information.

To get advice and feedback on the style and writing of your lab report, please book a writing advisory service appointment.


Structuring a lab report

Abstract

Summarise the entire report: it should be interesting, easy to read and concise. The abstract is usually the last part of the report that you write.

Introduction

Establish the reason or context for doing the experiment. It might help to think of your introduction as a funnel.

Use a funnel structure to start broad and focus down to the specifics of your research including the aims/objectives and hypothesis for testing.

Methods

Provides a descriptive protocol of your experiment so it could be replicated by another researcher.

Your methods section should be written avoiding the first person and using the passive voice where possible (ie ‘a sample was taken’, not ‘I took a sample’). Reproducibility of methods is the foundation for evidence-based science so make sure your methods are clear enough that someone else could follow them.

Results

Present your data using tables or graphical representations as appropriate.

Discussion

Interpret the results and explain their significance.

Reverse the funnel by considering the specific results from your experiment and their place in a wider context, by considering:

  • What do they mean?
  • What applications do they have?
  • What recommendations can you make?
  • What are the limitations?
  • What gaps remain for further research?

Conclusion

Restate your main findings and key points from the discussion.

References

List the references to existing literature drawn on in your report to strengthen your arguments.

Appendices

Contains any material that is too large to be included in the main report, but which contains useful information which underpins the report.  This may include more detailed data sets, copies of questionnaires used, details of equipment set up and calibration, or detailed calculations.

Explore this guidance on writing lab reports by the Faculty of Engineering (pdf. 1677kb), including an example lab report.


Writing numbers and presenting data

Consider the best way to present your data visually. If this is best done using a table or chart, then consider what format makes things clearest.

Make sure all important aspects of the data are included in your chart or table, including units where relevant. Don't include charts just for the sake of it – data display should help the reader understand the data.

Report the results of any statistical tests using the appropriate conventions for your subject.

For more guidance on working with data, visit our statistics web pages on data display and hypothesis testing.


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