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Web of Science Raw Data (XML)

User guide for Web of Science raw data


A custom or raw data set from Web of Science provides a complete view of the most influential research in your field. Because of key differences in the way Web of Science is built, you will not only be able to trust the data you are using but you will also uncover research you may not have been able to find before.

An eye for detail – With 16 full-time, publisher-neutral editors curating our content rather than an algorithm, you can be sure you won’t miss a speck of information–every journal is indexed cover-to-cover, every data point held within each publication is captured, and anomalies in author and institution naming conventions are addressed.
The power to uncover hidden connections – With a custom or raw data set from Web of Science, you will have access to a full and unique retrospective view of the foundations of current science, back to the year 1900, and the ability to follow the complete thread of scientific discovery and advancement. This means you can reveal connected research that simply couldn’t be found any other way.


When you work with our data experts, you can get a data set that is:

  • Enhanced with normalized impact and assessment metrics for large-scale research performance analysis
  • Able to be downloaded into proprietary information management systems or third party tools to run specific search queries and perform complex numerical or statistical analyses
  • Commingled with existing institutional or third-party data to create derivative databases for analytical purposes

Use cases

There are a number of use cases for Web of Science XML data. Several of these are linked below:


  • Indiana University Network Science Institute has purchased WoS XML data for use in scholarly research. Details of the data set, and other information related to data use, can be found here. Additional information can be found on the project GitHub page.


Publisher and Association