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Transcript 13

Most of the secondary datasets that I use have been produced in such a way that it's not possible to identify individual respondents or individual units of analysis which is usually the concern with data confidentiality. Having said that it's not good practice to leave data lying around and just because it's not easy to and identify individuals from it. I think it's important to treat data with the kind of care and attention that respondents who generated that data in the first place have a right to expect of people who are using the data that they've contributed to. That usually means things like keeping data at least behind a login with a password and if it's data that's in any way sensitive behind some kind of encryption system as well.

 

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PILOT - Writing a data management plan by Edina, University of Edinburgh modified by Marion Kelt, GCU is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at http://datalib.edina.ac.uk/mantra/introduction.html