Understanding the Data Lifecycle

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Limitations of the Lifecycle Model

  1. What are some of the limitations of how well the data lifecycle model represents actual research, especially as you think about qualitative research?
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    1. Like every model, the data lifecycle glosses over details. For example, there often won’t be a neat distinction between planning, initial, and final data collection. You may also find that you go back between research and writing/publication. For example, scholars would frequently conduct additional research between dissertation and the book resulting from the dissertation. Arguably, many of this applies particularly strongly to qualitative research. In many qualitative traditions, researchers go back and forth between data and theory. The lifecycle paints too neat a picture of that. As you use it as a planning device, make sure to account for such “back-and-forth.”