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  • Virtual Research Resources from the NIH Library

    The NIH Library is here to help you—online—with your virtual information and research needs. This week, we are highlighting research resources provided by the NIH Library. 

  • R Office Hours: Free Drop-in Consulting Service at the NIH Library

    Are you using R, but have run into a problem that has you stu​mped? Help is available! The NIH Library is pleased to offer a new drop-in consulting service for R users. R Office Hours will be held on the second Tuesday of each month from 12-2 p.m. in the NIH Library Media Room.

  • Got data? Check out the NIH Library’s Data Science eBooks and Resources!

    Are you wrestling with the best way to manage your data? The NIH Library can help with its robust collection of eBooks on data management, data visualization, and programming languages. Check out some of the data science eBooks from the NIH Library’s extensive online collection.

  • Software Carpentry Workshops at the NIH Library: Registration Now Open!

    The NIH Office of the Associate Director for Data Science and the NIH Library are pleased to host Software Carpentry Workshops taught by volunteers from the NIH community. Software Carpentry’s mission is to help researchers by teaching them core computing skills that will help them be more productive in a small research team.

  • R Office Hours: Free Drop-in Consulting Service at the NIH Library

    Are you using R, but have run into a problem that has you stumped? Help is available! The NIH Library is pleased to offer a new drop-in consulting service for R users. R Office Hours will be held on the second Tuesday of each month from 12-2 pm in the NIH Library Media Room.

  • All about APIs: From Access to Practical Uses to Be Held May 23

    Have you ever wondered how to extract the bibliographic data contained within key resources (PubMed, Web of Knowledge, Scopus) for internal projects? Scholarly publishers and databases offer APIs (application programming interfaces) to allow users the ability to systematically access data to serve a variety of research purposes.