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This course will help health sciences librarians understand the issues of big data in clinical outcomes and what roles health sciences librarians can take on in this service area. Course content comes from information shared by the presenters at the “Using Data to Improve Clinical Patient Outcomes” forum, top picks from the NNLM Data Curation/Management Journal Club articles, and completion of the course “Big Data Fundamentals” from the Big Data University. 

Please note that though this course is taught asynchronously, there are deadlines to complete specific assignments.  

Class Description:

This class is designed to assist librarians and others who work with diverse populations in locating health information. The resources presented are selected for their emphasis on providing culturally relevant information in the preferred language of the population.

The class is a 4 week self-paced, asynchronous introduction to mostly governmental nutrition websites. It will be composed of two in person webinars, along with required work in the course management system, Moodle.

The webinars will be:

July 11, 2017 11:00 am PT/ 1:00 pm CT/ 2:00 pm ET

July 25, 2017 11:00 am PT/ 1:00 pm CT/ 2:00 pm ET

This comprehensive course covers the essential skills and information that library staff need to help users find trustworthy, appropriate health information.  Learners will explore topics such as finding the best resources for just about any health question, serving diverse users, new mobile health technologies and how people are using social networking for health questions, and how to create fun and informative health-related programming for different age groups and populations. Participants will understand the challenges faced by non-English speakers and the implications of low health literacy. Best practices, techniques and practical tips will be presented each week to help each learner provide better health information services in his/her individual setting. 

If you have questions about this course, please contact the instructor Terri Ottosen. 

This specialized class will help improve your effectiveness in searching PubMed and related NLM and NIH databases for literature information on chemicals, drugs and genetics. The course covers drug information databases, searching for chemicals and with chemical nomenclature and locating literature related to genetics and genomics. This course assumes a strong working knowledge of PubMed including an understanding of automatic term mapping, the importance of reviewing the Details box after searches, and using the Advanced search page and the MeSH database. For more information: visit http://nnlm.gov/training/chemdrugs/

ClinicalTrials.gov is the openly available federal registry and results database of publicly and privately funded clinical studies conducted in the United States and around the world. As of June 2017, ClinicalTrials.gov provided access to nearly 250,000 study records and more than 26,700 studies with summary results. ClinicalTrials.gov is a vital resource for researchers, healthcare providers, and health sciences librarians who wish to consult the entire body of evidence on any particular topic.

ClinicalTrials.gov is the openly available federal registry and results database of publicly and privately funded clinical studies conducted in the United States and around the world. As of July 2013, ClinicalTrials.gov provided access to more than 149,000 study records and more than 9,500 studies with summary results. ClinicalTrials.gov is a vital resource for researchers, healthcare providers, and health sciences librarians who wish to consult the entire body of evidence on any particular topic.

Fundamentals of Bioinformatics and Searching is the self-paced bioinformatics overview online learning component of the Librarian’s Guide to NCBI.

Fundamentals of Bioinformatics and Searching is the self-paced bioinformatics overview online learning component of the Librarian’s Guide to NCBI.

Fundamentals of Bioinformatics and Searching is the self-paced bioinformatics overview online learning component of the Librarian’s Guide to NCBI.

Fundamentals of Bioinformatics and Searching is the self-paced bioinformatics overview online learning component of the Librarian’s Guide to NCBI.

Fundamentals of Bioinformatics and Searching is the self-paced bioinformatics overview online learning component of the Librarian’s Guide to NCBI.

Fundamentals of Bioinformatics and Searching is the self-paced bioinformatics overview online learning component of the Librarian’s Guide to NCBI.

This PubMed class is intended for experienced users to help develop advanced searching techniques and improve search strategies in the PubMed/MEDLINE database.  Information on the class is available at: https://nnlm.gov/classes/keeping-pubmed

This class is available on-demand from the SEA Region. Email Terri Ottosen for more information.

Forums for graduates of the class "Librarian's Guide to NCBI."

This class is intended to hone basic searching techniques and the ability to develop search strategies that will take advantage of the PubMed interface to MEDLINE. The course will explore various methods for searching the PubMed system. Topics covered include Automatic Term Mapping, Search Results, Features Bar, Related Citations, My NCBI, Searching with MeSH, and Single Citation Matcher.

This course will provide an overview of the system and demonstrate utilizing the features of PubMed to search effectively.

This Level 1 class is intended to hone basic searching techniques and the ability to develop search strategies that will take advantage of the PubMed interface to MEDLINE. The course will explore various methods for searching the PubMed system. Topics covered include Automatic Term Mapping, Search Results, Features Bar, Related Citations, My NCBI, Searching with MeSH, and Single Citation Matcher. This course will provide an overview of the system and demonstrate utilizing the features of PubMed to search effectively. Class information link: http://nnlm.gov/training/work/

Visit http://nnlm.gov/ntcc/classes/class_details.html?class_id=359 to view the course description and see the course schedule.

Cool Creative Communications: Dazzling Data Visualization

This class covers concepts of visually representing data and proven tools that are effective in making data understood at a glance. Students will increase their knowledge on data visualization concepts and a variety of data visualization applications. Students will complete assigned exercises that they will share with their class peers. Class participants are expected to spend 1.5 hours on content learning, 3 hours of in-depth learning on a selected tool/application and prepare a visualization, and .5 hours on peer critique.

Health Sciences Library support for data researchers and computer scientists is a new role for health sciences librarians. Work being done in biomedical big data fields and precision medicine is being shared through The Big Data to Knowledge (BD2K) Initiative's weekly online lecture series discussing the data science underlying modern biomedical research. The series began in September 2016 and is scheduled to run through early 2017. The weekly presentations are from experts across the country covering the basics of data management, representation, computation, statistical inference, data modeling, and other topics relevant to “big data” in biomedicine. The webinar series will provide essential training suitable for individuals at an introductory overview level. All video presentations from the seminar series will be streamed for live viewing, recorded, and posted online for future viewing and reference. This webinar series is a collaboration between the TCC, the NIH Office of the Associate Director for Data Science, and BD2K Centers Coordination Center (BD2KCCC). Support for data researchers at all points of the research lifecycle is likely to become a primary role for health sciences librarians. What kind of library support researchers want and what kinds of skills librarians need to have in order to meet that need remain unanswered questions. If health sciences librarians want to provide meaningful contributions to a growing field, discussions need to take place and action plans need to be created.

CE Contact Hours: 2 per video, reflection, and evaluation submitted.

The learning objective of the live debriefing discussions is to increase awareness of the roles the librarian can play to support researchers in the data lifecycle. 

If you have any questions or comments, contact john.bramble@utah.edu

This hands-on course focuses on the advanced search features of web search engines and the cutting edge of searching. Participants will use various search engines, compare the features of each and broaden their knowledge of search strategies and techniques. Participants will develop search strategies that will increase the precision and scope of their online searching ability. Participants will engage in discussions, exercises and view short demonstrations as a part of the class. 


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Prerequisites for attending a Moodle course at nnlm.gov
by NN/LM-Moodle Support - Monday, October 19, 2015, 3:11 PM
 
  • A computer with Internet access (note that firewalls and spam filters can be problems).
  • A modern browser such as Internet Explorer (10+), FireFox (40+), Google Chrome (45+), or Microsoft Edge. Note that Internet Explorer 8 and 9 tend to run into significant issues that preclude the ability to ...
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Common technical support issues for the NN/LM Moodle
by NN/LM-Moodle Support - Monday, October 19, 2015, 2:22 PM
 

Forbidden?

There are various conditions under which the NN/LM Moodle will respond with an error message indicating that your requested action is "forbidden" or that "you do not have permission to access" a particular page. If you encounter one of these while using Internet Explorer 8 or 9, ...

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Moodle System Maintenance
by NN/LM-Moodle Support - Monday, October 19, 2015, 2:11 PM
 

Due to an error made during maintenance on October 15, some work between 4PM PT on Oct 15 and 6:50AM PT Oct 16 was lost.  Contact your instructor if this affected your account.

We sincerely regret the inconvenience.