Archive for the ‘Education’ Category
Tuesday, January 17th, 2017
The NLM Associate Fellowship Program offers a formal curriculum with exposure to library operations, research and development, intramural and extramural research, development and lifecycle of the NLM web-based products and services and the extensive outreach and education program reaching consumers, special populations, health professionals and librarians. In the second half of the year, Associate Fellows have the opportunity to choose projects based on real-world problems proposed by library divisions and work with librarians and library staff over a six-seven month period. Successful projects have led to peer-review publications and to services that have become a regular part of the services and product of the National Library of Medicine.
The September through August program also offers professional development and an introduction to the wider world of health sciences librarianship that may include:
- Supported attendance at national professional conferences, including the Medical Library Association’s annual meeting, the American Medical Informatics Association annual meeting and others
- Additional seminars, field trips and learning opportunities available on the National Institutes of Health (NIH) campus
- Opportunities to meet and interact with senior management at the National Library of Medicine
- Rotation at the NIH Library (by arrangement)
- Experienced mentors from National Library of Medicine staff
- Potential to complete a second year fellowship at a health sciences library in the United States
The Fellowship offers:
- A stipend equivalent to a U.S. Civil Service salary at the GS-9 level ($53,435 in 2016)
- Additional financial support for the purchase of health insurance
- Up to $1,500 in relocation funding
Who is eligible?
All U.S. and Canadian citizens who will have earned a MLS or equivalent degree in library/information science from an ALA-accredited school by August 2017. Both recent graduates and librarians early in their career are welcome to apply. Priority is given to U.S. citizens.
Applications and additional information are available on the Fellowship program webpage. Application deadline is January 27, 2017. Between 4 and 6 fellows will be selected for the program.
Feel free to contact Kathel Dunn, Associate Fellowship Program Coordinator at 301-827-4284 or email@example.com
The National Library of Medicine is located on the campus of the National Institutes of Health in Bethesda, Maryland, just outside of Washington, DC. The 317-acre campus boasts plenty of green space, where we have regular cultural events for staff and the public. Excellent restaurants, shops, transportation, and entertainment make Bethesda a great place to work, and the wealth of museums, monuments, parks, sports and cultural activities in the Washington metropolitan area provides ample recreation opportunities. A metro subway station (Medical Center on the red line) and bus stops on the NIH campus provide access to DC, suburban Maryland, and North Virginia. We also have free parking.
NLM and NIH are dedicated to building a workforce that reflects diversity. NLM hires, promotes, trains, and provides career development based on merit, without regard to race, color, religion, national origin, sex (including gender identity), parental status, marital status, sexual orientation, age, disability, genetic information, or political affiliation.
Friday, January 13th, 2017
NLM disaster health information courses have been updated and reformatted for 2017! These self-paced online courses allow you to earn CE credits from the Medical Library Association, and can lead to an MLA Disaster Information Specialization certificate. These courses can also be accessed in the Public Health Foundation TRAIN.
The enhanced NLM Disaster Health Training Courses & Resources include:
- Disaster Health Information Sources: The Basics
- US Response to Disasters and Public Health Emergencies
- Information Roles in Disaster Management
- A Seat at the Table: Working with Local Responders
- Health and Disasters: Understanding the International Context
- CBRNE (Chemical, Biological, Radiological, Nuclear and Explosives): Health Information Resources
The courses are part of the NLM Disaster Information Specialist program, which facilitates a network of librarians and information professionals in the disaster workforce ready to take on the role of “information first responder” in their communities. The program comprises three parts:
- Online training courses
- Monthly webinars
- Connecting with others through email and social media
Learn more about how the Disaster Information Specialist program can support you and connect you to like-minded information professionals.
For questions about these courses, or to learn about more Disaster Health Information opportunities from the National Network of Libraries of Medicine, please contact Michelle Burda.
Monday, January 9th, 2017
NNLM is kicking off the new year with a variety of training opportunities! Here is a list of some of our upcoming January offerings. To see class offerings for February and beyond, visit our training schedule.
Starting Today! From Snake Oil to Penicillin: Evaluating Consumer Health Information on the Internet
Sponsored by SEA / January 9 through February 6, 2017 / Details and Registration
Registration Closing Soon! Office of Minority Health Resource Center (OMHRC) Knowledge Center – Your Source for Minority Health Information – Resources and Health Statistics
Sponsored by MAR / January 10, 2017 , 12:00-1:00 PM ET / Details and Registration
Assessing Community Needs and Assets: Key Data Collection Strategies for Planners and Grant Writers
Sponsored by SCR / January 11, 2017, 11:00 AM – 12:00 PM ET / Details
Teaching Topics: Classroom Assessment on the Fly
Sponsored by NTO / January 11, 2017, 1:00-2:00 PM ET / Details and Registration
What is Bioinformatics Librarianship?
Sponsored by NTO / January 12, 2017 1:00-2:00 PM ET / Details and Registration
PubMed and Beyond: Clinical Resources from the National Library of Medicine
Sponsored by MAR / January 13, 2017, 12:00-1:30 PM ET / Details and Registration
New Roads to Follow: Supporting and Advocating for Data Visualization in the Library
Sponsored by MAR / January 17, 2017, 1:00-2:00 PM ET / Details and Registration
Data Science 101: An Introduction for Librarians
Sponsored by SEA / January 18, 2017, 12:00-1:00 PM ET / Details and Registration
PubMed for Librarians: Introduction to PubMed
Sponsored by NTO / January 19, 2017, 1:00-2:30 PM ET / Details and Registration
PNR Partners (Open Insight Program)
Sponsored by PNR / January 19, 2017, 4:00-5:00 PM ET / Details
From Beyond Our Borders: Providing Multilingual and Multicultural Health Information
Sponsored by MAR / January 23 through February 10, 2017 / Details and Registration
PubMed for Librarians: MeSH
Sponsored by NTO / January 25, 2017, 1:00-2:30 PM ET / Details and Registration
NNLM Resource Picks: PubMed Update
Collaborative series / January 25, 2017, 3:00-4:00 PM ET / Details
Tuesday, January 3rd, 2017
From the Pennsylvania Patient Safety Authority:
Up to one half of the United States population may be at risk for medical misunderstandings, medical mistakes, excess hospitalizations, and poor health outcomes due to low health literacy. This series of webinars will provide the attendees with potential interventions and assist our patients with understanding their health care needs.
Webinar #1: Health Literacy: Developing Written Educational Materials
February 16, 2017, 12-1pm ET
Webinar #2: Health Literacy: Managing Discharge or Transitions in Care
April 13, 2017 (tentative)
Webinar #3: Health Literacy: Informed Consent
July 25, 2017 (tentative)
Webinar #4: Health Literacy: Effective Visuals
September 28, 2017 (tentative)
This webinar educational offering will provide 1 hour of CE credit for registered nurses only.
For questions about this series, please contact the Patient Safety Authority by phone: 717-346-0469, or by email: firstname.lastname@example.org.
Tuesday, December 20th, 2016
The NIH Big Data to Knowledge program is pleased to announce the spring semester of The BD2K Guide to the Fundamentals of Data Science, a series of online lectures given by experts from across the country covering a range of diverse topics in data science. This course is an introductory overview that assumes no prior knowledge or understanding of data science.
The series will run through May, meeting once per week at 12-1pm Eastern Time/9am-10am Pacific Time. No registration is required.
For more information and to join the lecture, visit the series event page.
This is a joint effort of the BD2K Training Coordinating Center, the BD2K Centers Coordination Center, and the NIH Office of the Associate Director of Data Science.
The first semester of the series covered Data Management and Data Representation. This semester will cover computing, data modeling, and overarching topics. You can also explore archived presentations on the series YouTube channel.
The scheduled topics for January-May of 2017 are as follows:
SECTION 3: COMPUTING
- 1/6/17: Computing Overview (Patricia Kovatch, Mount Sinai)
- 1/13/17: Workflows/pipelines (Rommie Amaro, UCSD)
- 1/20/17: Running a Data Science Lab (Trey Ideker, UCSD)
- 1/27/17: Modern Computing: Cloud, Parallel, Distributed, HPC (Umit Catalyurek, GA Tech)
- 2/3/17: Commons: lessons learned, current state (Vivien Bonazzi, NIH)
SECTION 4: DATA MODELING AND INFERENCE
- 2/10/17: Data Modeling Overview (Rafael Irizarry, Harvard)
- 2/17/17: Supervised Learning (Daniela Witten, U Washington)
- 2/24/17: Unsupervised Learning (Ali Shojaie, U Washington)
- 3/3/17: Algorithms, incl. Optimization (Pavel Pevzner, UCSD)
- 3/10/17: Bayesian inference (Mike Newton, U Wisconsin)
- 3/17/17: Data issues: Bias, Confounding, and Missing data (Lance Waller, Emory)
- 3/24/17: Causal inference (Joe Hogan, Brown)
- 3/31/17: Data Visualization tools and communication (Nils Gehlenborg, Harvard)
- 4/7/17: Modeling Synthesis (John Harer, Duke)
SECTION 5: ADDITIONAL TOPICS
- 4/14/17: Open science (Brian Nosek, UVa)
- 4/21/17: Data sharing (Christine Borgman and Irene Pasquetto, UCLA)
- 4/28/17: Ethical Issues (Bartha Knoppers, McGill)
- 5/5/17: Reproducible Research (John Ionnaidis, Stanford)
- 5/12/17: Additional considerations for clinical data (Zak Kohane, Harvard)
- 5/19/17: SUMMARY and NIH context
Reasonable accommodation: Individuals with disabilities who need reasonable accommodation to participate in this event should contact Tonya Scott at 301-402-9827. Requests should be made at least 5 business days in advance of the event.
Monday, December 19th, 2016
The Data Science and Visualization Institute for Librarians is accepting applications from December 12, 2016 through January 27, 2017. Applicants will be notified of their acceptance status no later than February 17, 2017.
The Data Science and Visualization Institute for Librarians is a week-long course providing the opportunity for librarians passionate about research and scholarship to immerse themselves in learning about data science and visualization in collaboration with academic peers. Participants will develop knowledge, skills, and confidence to communicate effectively with faculty and student researchers about their data and be able to provide initial consultancy on the course topics. Led by expert instructors, sessions will be interactive and will focus on mastery of core concepts, with hands-on exposure to select open source and highly used commercial tools. Sharing of practices and experiences across institutions will be encouraged.
The Institute will include topics such as:
- Data Exploration and Statistical Analysis
- Bibliometric Analysis
- Data Visualization
- Version Control with Git and GitHub
- Data Description, Sharing, and Reuse
- Data Cleaning and Preparation
- Web Scraping
- Analyzing Textual Data
- Mapping and Geospatial Visualization
- Publisher and Funder Data Use Agreements
The Institute will be held April 24 – 28, 2017 at the James B. Hunt Jr. Library, North Carolina State University in Raleigh, North Carolina.
Visit the NCSU Libraries event page to apply, and to stay up-to-date on program details.
The Data Science and Visualization Institute for Librarians is offered through a collaboration between the NCSU Libraries and the Coalition for Networked Information (CNI).
Monday, December 19th, 2016
Preregistration on the Open Science Framework
January 4, 2017, 12:00 PM EST
Learn more about how preregistration can improve the rigor of your science, and how you can win a prize for publishing your preregistered work.
Details and Registration
Introduction to Preprints
January 11, 2017, 10:30 AM EST
In this half-hour introduction to preprints, we’ll go over what preprints are, their benefits both pre- and post-publication, and locations to upload preprints, including the OSF’s new preprint servers.
Details and Registration
Registered Reports for Journal Editors
January 17, 2017, 10:00 AM EST
Registered Reports is a publishing format in which peer review occurs before results are known. In this webinar, you will learn about this publication format and how to implement it.
Details and Registration
Thursday, December 15th, 2016
CLRC & METRO, with support from NN/LM MAR and in partnership with The Taubman Health Sciences Library at the University of Michigan are pleased to announce that we are now accepting applications for Systematic Review workshops in NYC and Syracuse.
Systematic Reviews: Opportunities for Librarians provides information professionals with foundational knowledge about systematic reviews and an opportunity to engage in high-level discussions about involvement in such projects. The course runs on a flipped classroom model where didactic material is presented in an asynchronous online format over a period of two weeks and is followed closely by an intensive two day in-person workshop. Through a series of learning activities designed to stimulate thought and discussion, participants develop a toolkit of resources and strategies, as well as an action plan, to help foster greater involvement in systematic reviews at their institution.
This course is accredited for 20 MLA CE credits.
Online Component (All participants): April 3-16, 2017
New York, NY: April 17-18, 2017
Syracuse, NY: April 20-21, 2017
Each two-day workshop (NYC & Syracuse) is limited to 25 participants.
This project has been funded in whole or in part by the National Library of Medicine (NLM), National Institutes of Health (NIH) under cooperative agreement number UG4LM012342 with the University of Pittsburgh, Health Sciences Library System.
Preference will be given to applicants working at institutions based in New York State.
To apply to attend, please fill out the form at :
Please use a modern browser (Chrome or Firefox) for best results
Deadline for Applications is Tuesday, January 17th at 5pm
For additional information, please contact Angela Thor: email@example.com
Wednesday, December 14th, 2016
Join America’s PrepareAthon, sponsored by the Federal Emergency Management Agency (FEMA), on Thursday, December 15th at 2pm ET for a Twitter Chat focusing on winter safety. This chat will be used to discuss storm terms, winter driving tips, winter supplies for your emergency kit, and how to heat your home safely. Follow and participate in the chat on Twitter, using the hashtag #WinterSafety.
For more resources on winter safety, visit:
Monday, December 12th, 2016
What is Bioinformatics Librarianship?
Date: Thursday, January 12, 2017
Time: 1pm ET/12pm CT/11am MT/10am PT (1 hour webinar)
Details and Registration
A growing number of librarians are filling a special niche in the information world: Serving those who work with genetic and molecular biology information. In this one-hour Webinar, meet eight of your colleagues as they explain their specialized and uniquely valuable roles at their institution:
- Julie A Arendt, Virginia Commonwealth University
- Marci Brandenburg, University of Michigan
- Rolando Garcia-Milan, Yale University
- Karen H Gau, Virginia Commonwealth University
- Tobin Magle, Colorado State
- Robyn Reed, Penn State University
- Elliott Smith, University of California, Berkeley
- Rob Wright, Johns Hopkins Medicine
Moderated by: Peter Cooper, NCBI & Kate Majewski, NLM
Hosted by: NTO and the Bioinformatics Education Working Group