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Measurement: Standard Units

Measurement: Standard Units

Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.

Conversion of Units

Conversion of Units

Sometimes, there is a need to convert from one unit to another one. For instance, reading a cookbook in which quantities are expressed in units of liters or ounces may require conversion of quantities to cups. Or, when looking up directions on how to get to a location, we may be interested to know how many miles we are going to walk. In this case, we would have to convert units of feet or meters to miles.
The first step in the unit conversion is to list the given units and the units required...

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Related Experiment Video

Updated: Jun 18, 2026

Dispersion of Nanomaterials in Aqueous Media: Towards Protocol Optimization

Dispersion of Nanomaterials in Aqueous Media: Towards Protocol Optimization

Published on: December 25, 2017

Why Nanoscience Needs Standardized ProtocolsAnd How to Get There.

Marek Grzelczak¹

¹Centro de Física de Materiales (CFM-MPC), CSIC-UPV/EHU, Paseo Manuel de Lardizabal 5, 20018 Donostia-Sebastián, Spain.

ACS Nanoscience Au

|June 25, 2025

Summary

This study introduces simple rules for experimental nanoscientists to improve data management and reusability. Adopting these practices enhances data integrity and accelerates research writing, despite initial effort.

Keywords:

FAIR principle Nanoscience data management open science pipelilne

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Last Updated: Jun 18, 2026

Dispersion of Nanomaterials in Aqueous Media: Towards Protocol Optimization

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Published on: November 17, 2021

Area of Science:

Nanoscience, an interdisciplinary field integrating physics, chemistry, and biology.

Background:

Nanoscience faces challenges in data standardization due to its interdisciplinary nature.
Heterogeneous data flow and diverse conventions hinder workflow standardization and reproducibility.

Purpose of the Study:

To propose a set of best practices for experimental nanoscientists.
To facilitate robust data management and enhance data reusability in nanoscience research.

Main Methods:

Development of a protocol with simple rules for data management.
Focus on establishing good practices for experimental nanoscientists.

Main Results:

The proposed protocol aims to improve data reusability and prevent fragmentation.
Implementation may incur initial cognitive costs but offers long-term energy and time savings.

Conclusions:

Adopting these data management practices ensures early data reusability.
Standardized practices accelerate the research writing process and improve scientific reproducibility.