Skip all navigation and go to page content
NN/LM Home About MAR | Contact MAR | Feedback | Help | Bookmark and Share

Archive for the ‘Education’ Category

Upcoming Classes for January

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

Health Literacy Webinar Series

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
Register Now

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: ra-stpsawebex@pa.gov.

BD2K 2017 Webinar Series: Fundamentals of Data Science

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.

Apply Now: The Data Science and Visualization Institute for Librarians

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).

Upcoming Open Science Webinars

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

Apply now: Systematic Review Workshops in Syracuse & NYC

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

Cost: $100

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 :

https://goo.gl/forms/kpuOEl7RK3deU6We2

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: athor@clrc.org

#WinterSafety Twitter Chat

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:

Bioinformatics Librarianship webinar

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

Updated online disaster information CE’s now available

Friday, December 2nd, 2016

From the Disaster Information Management Research Center:

Do you have some down time as 2016 comes to a close? Or maybe you made a resolution way back in January that you would learn something new this year?  We have a suggestion for how to end 2016 with a flourish!

The NLM Basic Level Courses for the Medical Library Association Disaster Information Specialization have all been updated to a new online web-based tutorial format. The courses are self-paced, interactive, and offered at no cost. When you complete all 15 hours of the courses, you are eligible to earn a Basic Level certificate in Disaster Information Specialization from MLA.

The Basic Level courses include three from NLM Disaster Health:

This course provides a comprehensive overview of the essential resources needed to provide health-related information services for supporting disaster mitigation, planning, response, and recovery.

This course provides an introduction to disaster/emergency planning and response as conducted in the United States, with an emphasis on medical response.

This course presents current research findings on librarians’ roles supporting the disaster workforce. Additionally, the information needs of first responders, emergency managers, and other professionals working in the areas of disaster planning, response, and recovery are discussed.

Two additional courses are available online, at no cost, from the FEMA Emergency Management Institute:

This course introduces and provides an overview of the National Incident Management System (NIMS). NIMS provides a consistent nationwide template to enable all government, private-sector, and nongovernmental organizations to work together during domestic incidents.

This course describes the history, features and principles, and organizational structure of the Incident Command System (ICS). ICS is a standardized approach to incident management that enables a coordinated response among various jurisdictions and agencies; establishes common processes for planning and managing resources; and allows for the integration of facilities, equipment, personnel, procedures, and communications operating within a common organizational structure.

Finish 2016 feeling prepared for the new and exciting challenges that 2017 will bring! Learn more at https://disasterinfo.nlm.nih.gov/dimrc/trainingresources.html

Data Science and Visualization Institute for Librarians

Thursday, December 1st, 2016

Save the Date!  The Data Science and Visualization Institute for Librarians will be held April 24-28, 2017 at the James B. Hunt Jr. Library, North Carolina State University in Raleigh, North Carolina.

Applications for the Institute will be accepted beginning on Dec 12, 2016.

https://www.lib.ncsu.edu/datavizinstitute

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.

A final schedule will be available in early December,  including 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

Visit their website to stay up-to-date on program details and to apply (beginning December 12, 2016).

The Data Science and Visualization Institute for Librarians is offered through a collaboration between the NCSU Libraries and the Coalition for Networked Information (CNI).