Analysing and Interpreting Data

Once data is collected, we need to make meaning from that data. The analysis of data and interpretation of results involves hundreds of decisions, each of which can carry human bias.

Section 1

Accountable Decision-Making

In this section, we explore how every stage of data analysis involves decision-making, highlighting the importance of transparency and accountability in shaping research outcomes.

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Section 2

Prioritise Open-Source

In this section, we promote the use of open-source software and provide alternatives to commonly used closed-source options in research.