Data Processing

Data processing is a series of operations performed on raw data to obtain useful information. It can include filtering, transformation, aggregation, analysis and interpretation of data. In the work of publishing houses and repositories, data processing is an important step in managing information on scientific articles, citations, authors and reviews.

Data Processing Workflow

Learn how the process of working with data can take place – from extracting information from different sources, to cleaning and transforming it, to integrating it and preparing it for further analysis or use in publishing systems.

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Good Practices in Data Processing

Learn the key principles that will help you keep your data organised, consistent and secure.

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Data Processing with Python

See how the Python language can be used to automate editorial work. Simple examples will broaden your perspective and show you the potential of such technological solutions.

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