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Data Curation

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May 1, 2024 3 minute read

Data curation is the process of actively managing and preserving data for long-term access and use. It is a complex and multifaceted process that involves a variety of activities, including data collection, data cleaning, data transformation, data integration, and data archival. Data curation is essential for ensuring that data is accurate, reliable, and accessible, and it is a critical component of data science and analysis.

Why Learn Data Curation?

There are many reasons why someone might want to learn about data curation. Some of the most common reasons include:

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Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Curation.
Provides a practical guide to data curation, covering everything from planning to implementation. It is an essential resource for anyone looking to implement a data curation program.
Provides a comprehensive guide to best practices for research data management and curation, covering all aspects of the process from planning to evaluation.
Provides a practical guide to data curation, focusing on data quality and governance. It is an excellent resource for anyone looking to improve the quality and governance of their data.
Provides a practical guide to data curation for practitioners, covering all aspects of the process from planning to evaluation.
Provides a practical guide to data curation and analysis for social sciences, covering topics such as data collection, cleaning, and analysis.
Is specifically tailored to the needs of social scientists, providing a practical guide to data curation and management.
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