Data Privacy and Confidentiality – Data Management Lifecycle
Lifecycle designed by the NIST - Research Data Framework (RDaF), 2019-current.
Privacy and confidentiality must be considered throughout the data management lifecycle, as Harvard Longwood (2022) depicts:
Research Data Lifecycle by LMA Research Data Management Working Group is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PLAN & DESIGN: Plan processes from onboarding to project closure and data resources
COLLECT & CREATE: Organization and integration of data sets and collection processes
ANALYZE & COLLABORATE: Processing and analyzing data should be collaborative and documented
STORE & MANAGE: Each stage of the Biomedical Data Lifecycle revolves around the management of data storage
EVALUATE & ARCHIVE: Identify essential research records and evaluate for retention
SHARE & DISSEMINATE: Establishing and supporting the reach and impact of your data
ACCESS & REUSE: Ensuring the broad utility of your research data efforts for other researchers
Note that when conducting research with human subjects, both principles are important, and will be evaluated by the TTU IRB.
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