Understanding the Data Lifecycle

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Your Research and the Data Lifecycle

  1. Consider why the use of research data is depicted as a “cycle”. In particular, what does the dashed arrow from “Long-term Management” to “Discovery and Planning” represent?
  2. Which activities that are part of your research fall under the different headings of the lifecycle?
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    1. The basic idea for the cyclical nature of research data is its re-use. Often, you may be re-using your own data. Something you found in your original data peaked your interest and becomes the basis for your next project. In other cases, other researchers may take advantage of data you shared and use them as the basis for their next project
      1. This will depend on your research but here are some possible activities in each category
        1. Discovery and Planning: design research; review literature, identify existing data; apply for funding; hire research team; plan data security and backups; plan informed consent; apply for IRB.
          1. Initial Data Collection: identifying participants / interviewees / archives, etc. collect data; document data; store and back-up data; identify additional data needed.
            1. Final Data Preparation and Analysis: collect additional data; convert data for analysis (OCR, transcription, etc.); read, annotate, analyze using software.
              1. Publication and Sharing: write! Finalized documentation; de-identify data if needed; deposit data with repository; publicize through social media, e-mail, etc.
                1. Long-term Management: handled by data repository.