Will you be the one to solve the next big research question?
Aggregated, standardized and reliable data can support your research reporting and analysis, allowing you to be on the cutting-edge of research trends and connect the pieces of your next discovery. You may think you’re using the most complete and accurate data set possible but if you aren’t positive, you risk being blindsided by missing information–an error that could ultimately impact the quality of your paper.
TRUST THE DIFFERENCE
When you start with a custom or raw data set from Web of Science, you can be certain that you are getting 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.
DATA ASSESSMENTS AND EXTRACTIONS
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
Contact us today to learn how researchers like you have used data assessments and extractions from Web of Science to inform their work.