Research Data & Results
Record research measurements, compare repeated results and use simple calculations to help describe your data clearly.
What do we mean by research data?
Research data is the information collected during an investigation. It can include measurements, observations, test results and notes. Keeping these records clearly helps you understand what happened during the research and makes the work easier to review later.
Observation
Something you notice or record during the research, such as a change in appearance, behaviour or another property.
Measurement
A numerical value collected using a defined method or instrument. Measurements should include their units where relevant.
Result
A result is information produced from your observations or measurements. Results should be reported separately from your interpretation of what they may mean.
A measurement tells you what was recorded. An interpretation explains what you think the result may mean. Keeping these separate makes the research record easier to review.
Why use replicates?
A replicate is a repeated measurement or repeated part of an experiment. Replicates can help show how consistent a set of measurements is.
Repeated measurements
The same measurement is taken more than once using the same defined method. The individual values should be kept rather than recording only the average.
Keeping the original values allows you to check the spread of the data and identify unusual measurements.
Independent replicates
Separate experimental samples or runs can provide different information from simply measuring the same sample repeatedly.
The type of replicate should therefore be recorded clearly in the research notes.
Compare up to 10 measurements
Enter repeated numerical measurements below. The calculator will return the mean, range, sample standard deviation and coefficient of variation.
Replicate Data Calculator
Enter the measurements using the same unit and method.
What do these calculations mean?
These calculations describe a set of measurements. They do not by themselves determine whether a research result is correct or acceptable.
Mean Average
The mean is calculated by adding all measurements together and dividing the total by the number of measurements.
It provides a simple way to describe the centre of a set of numerical results.
Range Spread
The range is the difference between the highest and lowest measurement.
A larger range means the measurements are more spread out across the values recorded.
SD Standard deviation
Standard deviation describes how much the measurements vary around the mean.
This page uses the sample standard deviation calculation.
%CV Coefficient of variation
%CV expresses the standard deviation relative to the mean and reports it as a percentage.
It can be useful when comparing variation between datasets with different average values.
Keep the research record with the results
A calculated result is more useful when you can see where it came from. Record the material, batch, method and other relevant details alongside your measurements.
From measurement to research result
Keeping the process organised makes it easier to understand how a result was produced.
Record
Keep the original measurements and observations.
Check
Review the data for missing values, unusual results or recording errors.
Calculate
Use suitable calculations to describe the dataset.
Report
Record the results together with the method and relevant notes.
Keep your data clear and traceable
Small details can make a research record much easier to understand later.
Keep the original values
Do not replace the individual measurements with an average. Keep the original values so the dataset can be reviewed.
Record the sample
Where relevant, record the material, batch or sample reference so the result can be linked back to its source.
Record the method
Note the method or analytical procedure used to produce the measurement.
Record when it happened
Dates and other relevant timing information can help place the result in the correct research context.
Investigate unusual results
An unusual value should be reviewed rather than automatically removed. Record any reason for excluding a result.
Keep supporting information
Where available, keep the related method, COA, instrument information and other supporting records with the research data.
⚠️ Do not use one number as a pass/fail rule
A mean, range, standard deviation or %CV describes the data but does not automatically tell you whether a result is acceptable. Interpretation depends on the research question, method, measurement uncertainty, controls, reference materials and other relevant factors.
Continue your research work
Use the other Members Area resources to understand research methods, preparation records, COAs, published studies and peptide terminology.
The tools on this page are provided for educational and research data recording purposes. They are not intended to provide medical advice, treatment instructions, human or animal dosing information, or clinical recommendations.