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Data curation refers to the various processes involved in ensuring that data can be discovered, accessed, understood, and used now and into the future. These processes are part of a disciplined practice that considers the technical aspects of data as an object for long-term archival preservation and access--but within the broader context of responsible and ethical conduct of research, scientific rigor and integrity, disciplinary culture and practice, and stakeholder mandates and expectations.
The practice of data curation comprises an exhaustive list of data curation includes activities that are applied to dataset files based on data type, file format, domain, original and intended uses, and other important factors that determine how data files should be organized, documented, archived, and shared. The diagram below illustrates a typical data curation workflow.
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Data curation is a data management activity that should be considered when developing data management plans. When planning for data management, it is important to consider the provisions needed to curate data, especially for data that are large in volume, require specialized hardware or software, contain sensitive information (i.e., protected health information (PHI), personally identifiable information (PII)), or are otherwise complex.
The data curator
what does a data curator do and what are their qualificationsA data curator is responsible for the execution of the data curation workflow in accordance with standards and best practices for long-term preservation and access.
Data curation standards and best practices
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