The NIH Library’s Systematic Review Service can guide you through your entire systematic review process, with software, classes, consultations, and resources.
Announcements & News
Systematic Review Service at the NIH Library: Consultations, Classes, and Databases
The NIH Library’s Systematic Review Service offers consultations, classes, and resources to guide you through your entire systematic review process.
2020 Bibliometrics and Research Assessment Symposium
This symposium brings together librarians and information professionals from a variety of institutions to share ideas and best practices around the production and delivery of research assessment services.
Online Services, Training, and Resources from the NIH Library
The NIH Library is here to help you—online—with your teleworking information and research needs.
Save the Date: 2020 Bibliometrics and Research Assessment Symposium
Join us on October 8 and 9, 2020 at the National Institutes of Health (NIH) campus in Bethesda, Maryland for a free, two-day symposium on bibliometrics and research assessment.
Systematic Review Services: Consultations, Classes, and Databases
Are you looking for help with your systematic review? The NIH Library’s Systematic Review Service can help with consultations, classes and databases.
Systematic Review Services at the NIH Library: Consultations, Classes, & Databases
Are you looking for help with your systematic review? The NIH Library’s Systematic Review Service can help.
NIH Library Participating in Take Your Child to Work Day—April 25, 2019
On April 25, the NIH Library is partnering with VARIG (Virtual and Augmented Reality Interest Group) to present a line-up of exciting and educational virtual reality demonstrations for Take Your Child to Work Day.
NIH Library Open House 2015
In conjunction with the NIH Research Festival, the Library’s open house will showcase why we truly are “Your Partner in Research.” New this year will be a demonstration of the data visualization touch screen provided by the NIH Office of the Associate Director for Data Science.