Acceso usuarios
The generation and critical evaluation of good-quality data requires the understanding of ideas rather than practising set procedures. "Working scientifically" does not explicitly specify these ideas. To highlight that thinking is necessary, this article presents and discusses a concept map that sets out the key ideas about the quality of data and their interrelationships and suggests factors to consider when teaching students so they can develop this understanding.
