Data Lab Debuts
March 18, 2021
The new Nexis
Data Lab is addressing the challenges universities face with big data mining and
With over 2.5 quintillion bytes of data generated each day, big data mining and
analysis has become big business. But it also comes with big challenges for
academic research, including reliable search and capture, secure sharing,
authoritative sourcing and data visualization.
Nexis® Data Lab is a next-gen, cloud-based data mining and analysis tool that
makes diving into big data a breeze.
Nexis Data Lab is a next-generation data mining and analysis tool that allows
students and academic researchers to search across the world-leading Nexis news
archive. It streamlines the analytical experience and reduces the time and
complexity of curating a data set—getting the data into an analytical
environment faster. Users can search, refine, analyze and visualize thousands of
documents in mere minutes, all within a secure, end-to-end, cloud-based Jupyter
notebook. Traditional API solutions can take days or even weeks to render the
results of big data research—time many researchers just don't have.
"Our academic customers told us they wanted to enable students and professors to
quickly mine big data in a controlled environment. That is exactly what Nexis
Data Lab delivers," said Todd Larsen, president of Nexis Solutions. "With Nexis
Data Lab, we deliver a system that's fully administered on our end and has a
very simple yet powerful workspace. With just a few clicks, users can perform
data discovery and analysis to surface precise answers to their specific
research questions—and even discover trends they might not have uncovered
through traditional methods."
Unlike other big data solutions, Data Lab was designed for both novice and
experienced researchers. With open-sourced and pre-packaged LexisNexis-developed
Python libraries, users don't even need to download and install their own code;
however, more experienced users can modify the code or even embed their own. In
addition, analysis can be viewed in both text- and graphical formats. Data Lab
also makes it easy for professors or peer reviewers at academic journals to
easily replicate the exact study and verify the findings.
According to Manon van der Velde, vice president of product at Nexis Solutions,
the streamlined experience Data Lab delivers will vastly improve the way
librarians and professors—often the gatekeepers to traditional big data
collection and analysis—interact with the students and researchers who are
looking for answers.
"This end-to-end, turnkey solution is very intuitive to use and frees up time
for librarians and professors to play a more strategic advisory role for their
students, as well as adding time back into their schedules for their own
projects," van der Velde explained.
In the coming months, more features will be added to Nexis Data Lab, including
additional content, increased content capacity within the Jupyter notebook
environment, collaboration tools and enhanced visualization options.