The Second Offering of “A Librarian’s Guide to NCBI” at NIH


NCBI, in collaboration with NLM and the National Network of Libraries of Medicine NLM Training Center (NTC) at the University of Utah, recently presented the second offering of A Librarian’s Guide to NCBI. Health Sciences Librarians from 17 universities and two federal agencies attended the five-day intensive course on the NIH campus. This second offering of the training continues to prepare health science librarians for supporting NCBI molecular databases and tools, and training patrons in the use of NCBI resources at their own institutions.

Participants and instructors from the 2014 “A Librarian’s Guide to NCBI” outside the National Library of Medicine.

Participants and instructors from the 2014 “A Librarian’s Guide to NCBI” outside of the National Library of Medicine.

As before, all the course materials are available online. Feel free to learn from them, adapt them for your own teaching, and share them with others. You can use the links below to access the updated 2014 course materials. These include the slide sets with demonstrations and practice problems.

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NCBI’s Open Data – A Source of Experimental Data for Important Discoveries


On a typical day, researchers download about 30 terabytes of data from NCBI in an effort to make discoveries. NCBI began providing online access to data in the early 1990s, starting with the GenBank database of DNA sequences. Over the years we’ve greatly expanded the types and quantity of data available. You can now find on our site descriptions and data from experimental studies such as next-generation sequencing projects, bioactivity assays for small molecules, microarray datasets and genome-wide association studies.

The White House recently recognized these efforts by awarding NCBI Director David J. Lipman with the “Open Science” Champion of Change Award [1]. The scientific community has recognized the benefits of open data. Access to this information serves as  a source of both original and supplemental data for exploration and validation [2-4], which improves the power of experimental data [5] while increasing the speed and decreasing the cost of discovery [6].

In this post, we summarize three recent cases where researchers used data from an NCBI resource/database to make significant discoveries.

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