. (2015) 'Understanding the quality of data : a concept map for`the thinking behind the doing' in scientic practice.', The curriculum journal., 26 (3). pp. 345-369. Further information on publisher's website:
Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.
Understanding the quality of data: a concept map for 'the thinking behind the doing' in scientific practice
AbstractRecent school science curriculum developments in many countries emphasise that scientists derive evidence for their claims through different approaches; that such practices are bound up with disciplinary knowledge; and that the quality of data should be appreciated. This position paper presents an understanding of the validity of data as a set of conceptual relationships, illustrating the application of the network of ideas and their inter-relationships necessary for the 'thinking behind the doing' with examples from practice. We explore ways in which this understanding of data is inherently related to underpinning disciplinary ideas. We suggest how the recognition of a conceptual basis for understanding the quality of data represents an ontological shift with respect to widespread characterisations of scientific practices which addresses some long-standing issues in science education research, policy, curricula and practice.