YOU CAN BETTER UNDERSTAND YOUR DATA

(You had better understand your data!)

Schares Data Science helps academic libraries, universities, publishers, journals, editors, funders, and scholarly initiatives decode their data.

With experience using data science techniques to analyze usage, run API queries, create data visualizations, and make custom graphs, we can help discover the untapped potential in your data.

Get in touch to learn more at [email protected]

MAKE BETTER, DATA-DRIVEN DECISIONS

  • Setup, use, and interpret the Unsub analysis dashboard
  • Find the publishing profile of your institution - where your authors publish and who they cite
  • See what fraction of your publications are Open Access
  • Anticipate how you could be affected by the recent OSTP memo
  • Visualize authorship patterns with VOSViewer
  • Create a list of the top journals on your campus based on authorship, citations, and usage numbers
  • Validate publisher data to prepare for an OA agreement
  • ... and more!

SAMPLE PROJECTS

FAQs
What types of data do you work with?
All sorts of data from academic libraries, journals, publishers, and databases including usage statistics, publication metadata, and citation patterns.
Do you offer custom analysis?
Absolutely! Each project is tailored to meet the specific needs of the client. I've helped libraries and consortia around the world with their questions.
Who have you worked with?
Past clients include OpenAlex, Invest in Open Infrastructure, and Clarke & Esposito.
What do you charge?
The starting rate is $400/hr. We can also talk about negotiated pricing for a defined project if that works better for your situation.
Will you run our Unsub data for us?
Unsub work is $3,000 for one publisher package, or $5,000 for two. This includes an analysis of all journals in the bundle, suggestions for targeted cancellations, and a deeper look via Unsub Extender.
Okay, but who are you?
Eric Schares. You can learn more about my background, experience, and projects at https://eschares.github.io

GET IN TOUCH

[email protected]
© 2023-2026 Schares Data Science. All Rights Reserved.