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:
a9pv7g|
Find a path to becoming a Data Curation. Learn more at:
OpenCourser.com/topic/a9pv7g/data
Featured in The Course Notes
This topic is mentioned in our blog,
The Course Notes. Read
one article that features
Data Curation:
To read more articles from OpenCourser, visit:
OpenCourser.com/notes
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/a9pv7g/data