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Archive for the ‘Education’ Category

Back-to-School Updates for NLM K-12 Resources

Thursday, September 8th, 2016

From the NLM Outreach and Specific Populations Branch:

School is back in session, and you can learn about the latest updates to K-12 educational resources from the National Library of Medicine i the most recent edition of the Education Connection Newsletter. The August edition of the newsletter includes articles on:

For even more K-12 health and science education resources, check out the NLM Outreach homepage!

BD2K Guide to the Fundamentals of Data Science- Beginning this Friday!

Wednesday, September 7th, 2016

The NIH Big Data to Knowledge program is pleased to announce 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.

This is a joint effort of the BD2K Training Coordinating Center (TCC), the BD2K Centers Coordination Center (BD2KCCC), and the NIH Office of the Associate Director of Data Science.

When: each Friday at noon Eastern Time (9am Pacific) beginning September 9th, 2016.

Please join from your computer, tablet or smartphone: https://global.gotomeeting.com/join/786506213

You may also dial in using your phone.
United States : +1 (872) 240-3311
Access Code: 786-506-213

For up-to-date information about the series and to see archived presentations, go to: http://www.bigdatau.org/data-science-seminars.

Tentative schedule:

9/9/16:  Introduction to big data and the data lifecycle (Mark Musen, Stanford)

9/16/16:  SECTION 1: DATA MANAGEMENT OVERVIEW (Bill Hersh, Oregon Health Sciences)

9/23/16:  Finding and accessing datasets, Indexing  and Identifiers (Lucila Ohno-Machado, UCSD)

9/30/16:  Data curation and Version control (Pascale Gaudet, Swiss Institute of Bioinformatics)

10/7/16:  Ontologies (Michel Dumontier, Stanford)

10/14/16:  Metadata standards (Zachary Ives, Penn)

10/21/16:  Provenance (Suzanne Sansone, Oxford)

10/28/16:  SECTION 2: DATA REPRESENTATION OVERVIEW  (Anita Bandrowski, UCSD)

11/4/16:  Databases and data warehouses, Data: structures, types, integrations (Chaitan Baru, NSF)

11/11/16:  No lecture ‹ Veteran¹s Day

11/18/16:  Social networking data (TBD)

12/2/16:  Data wrangling, normalization, preprocessing (Joseph Picone, Temple)

12/9/16:  Exploratory Data Analysis (Brian Caffo, Johns Hopkins)

12/16/16:  Natural Language Processing (Noemie Elhadad, Columbia)

1/6/17:   SECTION 3: COMPUTING OVERVIEW (Dates tentative)

1/13/17:  Workflows/pipelines

1/20/17:  Programming and software engineering; API; optimization

1/27/17:  Cloud, Parallel, Distributed Computing, and HPC

2/3/17:  Commons: lessons learned, current state

2/10/17:  SECTION 4: DATA MODELING AND INFERENCE OVERVIEW (Dates tentative)

2/17/17:  Smoothing, Unsupervised Learning/Clustering/Density Estimation

2/24/17:  Supervised Learning/prediction/ML, dimensionality reduction

3/3/17:  Algorithms, incl. Optimization

3/10/17:  Multiple testing, False Discovery rate

3/17/17:  Data issues: Bias, Confounding, and Missing data

3/24/17:  Causal inference

3/31/17:  Data Visualization tools and communication

4/7/17:  Modeling Synthesis

SECTION 5: ADDITIONAL TOPICS

4/14/17:  Open science

4/21/17:  Data sharing (including social obstacles)

4/28/17:  Ethical Issues

5/5/17:  Extra considerations/limitations for clinical data

5/12/17:  reproducibility

5/19/17:  SUMMARY and NIH context

Upcoming Conference on Grey Literature

Wednesday, September 7th, 2016

The New York Academy of Medicine is hosting the 18th International Conference on Grey Literature (GL18), November 28 and 29, 2016, Leveraging Diversity in Grey Literature. We will be welcoming participants and researchers from across the globe. Experience the First International Grey Literature Week (#GreyLitWeek) November 28-Decemeber 2 by attending the conference or workshops on Islandora, GreyLit, and Wikipedia.

For more details, visit the Grey Literature Week events page.

National Preparedness Month

Thursday, September 1st, 2016

September is National Preparedness Month. MAR and the National Library of Medicine have classes to help you get your home, workplace and community prepared for emergencies.
 

Webinars:

Collaborations between Libraries and Disaster Organizations:
Thursday, September 8, 2016 at 1:30 pm ET
Details

Are You Ready? Essential Disaster Health Information Resources for Keeping Your Loved Ones Safe
Monday, September 19, 2016  2-3:00 PM ET
Details and Registration

NN/LM Resource Picks: Don’t Wait, Communicate About Disaster Preparedness!
Wednesday, September 28, 2016 3:00-4:00 PM ET
Details and Registration

Lunch with the RML: Celebrating National Emergency Preparedness Month with MAR Emergency Preparedness Project Reports
Thursday, September 29, 2016 noon-1:00 PM ET
Details and Registration
 

Self-paced courses:

Disaster Health Information Sources: The Basics
https://disasterinfo.nlm.nih.gov/dimrc/disastercourse_thebasics.html

CBRNE (Chemical, Biological, Radiological, Nuclear and Explosive): Health Information Resources
https://disasterinfo.nlm.nih.gov/dimrc/disastercourse_cbrne.html
 
 
Don’t wait. Communicate. Make your emergency plan today. For more information on National Preparedness Month, follow #NatlPrep on Twitter and visit: https://www.ready.gov/september

Collaborations between Libraries and Disaster Organizations Webinar

Wednesday, August 31st, 2016

When: Thursday, September 8, 2016 at 1:30 pm ET

The Disaster Information Specialist monthly webinar is free and open to everyone. In this upcoming session:

Tania Bardyn and her team from the University of Washington Health Sciences Library will present about their current Disaster Health Information Outreach and Collaboration Project. The Library, in partnership with the Washington State Department of Health, Office of Emergency Preparedness and Response and the Washington State Emergency Management Division, developed a mobile application (app) for Android devices called Response & Recovery App in Washington (RRAIN Washington) to improve access to National Library of Medicine (NLM) disaster information resources in Washington State. This is a follow-on project to the RRAIN app created in 2014 for iPhone and iPad devices. Also, Sarah Carnes, a virtual intern with the NLM Disaster Information Management Research Center, will present about her project “Design and Delivery of an Outreach Strategy to Increase Awareness of Disaster Information Resources.”

Details: https://disasterinfo.nlm.nih.gov/dimrc/dismeetings.html#program

New webinar series: NN/LM Resource Picks

Friday, August 26th, 2016

The National Network of Libraries of Medicine invites you to join us for a new bimonthly webinar series: NN/LM Resource Picks. Every two months, we will highlight National Library of Medicine resources. Learn about NLM resources directly from NN/LM and NLM staff!

First up:

Don’t Wait, Communicate About Disaster Preparedness!

September 28, 2016 3-4pm ET

Register: https://nnlm.gov/ntc/classes/class_details.html?class_id=1057

Twice a year, America’s PrepareAthon brings together organizations and individuals to

  • learn what hazards are most likely to affect their communities
  • take action to increase preparedness
  • participate in community resilience planning

The next America’s PrepareAthon takes place on September 30—the final day of National Preparedness Month. The theme this year is “Don’t Wait, Communicate: Make Your Emergency Plan Today.” https://www.ready.gov/september

The September 28 webinar will use themes from America’s PrepareAthon to demonstrate the role librarians play in disaster preparedness. Learn how to get your community ready for specific hazards, and find out what resources you have at your fingertips.

Presenter: Siobhan Champ-Blackwell, National Library of Medicine, Specialized Information Services Division, Disaster Information Management Research Center

Updated Self-Paced Disaster Information Specialization Courses

Thursday, August 25th, 2016

One of the core competencies of disaster medicine is knowing how to “identify authoritative sources for information in a disaster or public health emergency” (Source: National Center for Disaster Medicine and Public Health). Librarians and information professionals with this competency can support their communities with high-quality information throughout the disaster cycle of mitigation, preparedness, response, and recovery.

The National Library of Medicine has developed a series of courses with an emphasis on disaster health information. NLM is updating the courses now and formatting them for self-paced study online.

Two updated courses are now available (see below). These courses meet the requirements for the Medical Library Association Disaster Information Specialization, as well as core competencies for public health professionals and others through the Public Health Foundation’s learning management system, TRAIN.

By the end of the year, there will be four more courses: US Response to Disasters and Public Health Emergencies; Information Roles in Disaster Management; A Seat at the Table: Working with Local Responders; and Health and Disasters: Understanding the International Context.

Disaster Health Information Sources: The Basics

This class provides a comprehensive overview of the essential resources needed to provide health-related information services for supporting disaster mitigation, planning, response, and recovery. This self-paced course introduces key sources from the National Library of Medicine, federal and nonfederal agencies, and international organizations. Tools for locating, organizing and disseminating disaster health information are covered.

https://disasterinfo.nlm.nih.gov/dimrc/disastercourse_thebasics.html

CBRNE (Chemical, Biological, Radiological, Nuclear and Explosive): Health Information Resources
This class provides an overview of the concepts of CBRNE, including a review of National Library of Medicine resources and tools that provide health-related information to support planning, response, and recovery from the effects of these potential hazards.

https://disasterinfo.nlm.nih.gov/dimrc/disastercourse_cbrne.html

New, weekly, webinar-based lecture series

Monday, August 22nd, 2016

BD2K Guide to the Fundamentals of Data Science.

This is a series of high-level didactic overviews across the range of topics important for data science, intended to provide a general biomedical audience with an appreciation of the elemental issues related to data science research and applications.

When: each Friday at noon Eastern Time (9am Pacific) beginning September 9th, 2016.

Please join from your computer, tablet or smartphone: https://global.gotomeeting.com/join/786506213

You may also dial in using your phone.
United States : +1 (872) 240-3311
Access Code: 786-506-213

Registration is not required. Bookmark the webinar link for easy access to our weekly event!

The initial set of confirmed data science lecturers includes: Mark Musen (Stanford), William Hersh (Oregon Health Sciences), Lucila Ohno-Machado (UCSD), Michel Dumontier (Stanford), Zachary Ives (Penn), Suzanne Sansone (Oxford), Chaitan Baru (NSF), Brian Caffo (Johns Hopkins), and Naomi Elhadad (Columbia).

This series is sponsored by the NIH Office of the Associate Director for Data Science, the Big Data to Knowledge (BD2K) Training Coordination Center, and the BD2K Centers Coordination Center. A dedicated webpage with additional information, the complete schedule of speakers, and a collection of all the recorded lectures is forthcoming and will be available shortly. In the meantime, the data science topics to be covered by our incredible set of speakers are as follows:

Syllabus

  • Introduction to big data and the data lifecycle
  • Section 1: Data Management Overview
  • Finding and accessing datasets, Indexing and Identifiers
  • Data curation and Version control
  • Ontologies
  • Metadata standards
  • Provenance
  • Section 2: Data Representation Overview
  • Databases and data warehouses, Data: structures, types, integrations
  • Social networking data
  • Data wrangling, normalization, preprocessing
  • Exploratory Data Analysis
  • Natural Language Processing
  • Section 3: Computing Overview
  • Workflows/pipelines
  • Programming and software engineering; API; optimization
  • Cloud, Parallel, Distributed Computing, and High Performance Computing
  • Commons: lessons learned, current state
  • Section 4: Data Modeling and Inference Overview
  • Smoothing, Unsupervised Learning/Clustering/Density Estimation
  • Supervised Learning/prediction/Machine Learning, dimensionality reduction
  • Algorithms and their Optimization
  • Multiple hypothesis testing, False Discovery Rate
  • Data issues: Bias, Confounding, and Missing data
  • Causal inference
  • Data Visualization tools and communication
  • Modeling Synthesis
  • Section 5: Additional topics
  • Open science
  • Data sharing (including social obstacles)
  • Ethical Issues
  • Extra considerations/limitations for clinical data
  • reproducibility
  • SUMMARY and NIH context
  • Section 6: Specific examples

 

Please feel free to share with your students, staff and colleagues. Tune in for the first lecture on September 9th!

Research Data Management Education Modules

Thursday, August 18th, 2016

On behalf of Kevin Reed and Alisa Surkis, NYU School of Medicine:

We would like to request your participation in piloting research data management education materials for medical librarians. We are currently funded by a grant from the Big Data to Knowledge Initiative at NIH to develop a curriculum for medical librarians to facilitate their teaching research data management at their own institutions. There are two components to the training materials:

Part 1: Seven online modules (approximately three hours of content) designed to teach medical librarians about the practice and culture of research and best practices in research data management.

Part 2: A teaching toolkit including slides, scripts, and evaluation materials to teach an in-person introductory research data management class for researchers at your institution.

We are currently seeking participants to pilot part 1. Following that, we will seek out a subset of participants with whom to pilot part 2, which will involve structured observations of classes taught by the librarians at their institutions. All participants in piloting part 1 will be given access to the materials in part 2, regardless of whether or not they are part of the piloting of those materials.

My colleague, Alisa Surkis, and I have been teaching research data management to our fellow medical librarians at the past three MLA annual meetings, based on our own experiences in providing research data management services at NYU School of Medicine. We hope that the materials we have created here will make the core elements of that class more broadly available to facilitate the teaching of research data management at medical libraries across the United States.

If you intend to take these modules, please contact Kevin Read at kevin.read@med.nyu.edu or Alisa Surkis at alisa.surkis@med.nyu.edu to confirm your participation. You do not need to await a reply from us to begin taking the modules.  We are also available to answer your questions at any time.

U-VDC Technical Grant Writing Workshops

Thursday, August 18th, 2016

University Vision, Design and Capacity (U-VDC) Technical Grant Writing Workshops

September 13-14
Fond du Lac Tribal and Community College
2101 14th Street, Room 214
Cloquet, MN

Details and Registration

The University Vision, Design and Capacity (U-VDC) technical grant writing workshops, part of the HETAP initiative, provide university and health professionals with strategies to make grant proposals more competitive and get funded.

Learn to write winning grants and build sustainable partnerships to improve minority health!

This hands-on, two-day workshop is for junior faculty, staff and college/university health professionals who are interested in community-based participatory research; who are committed to working with underserved populations; and who want to build their institution’s capacity to compete and receive competitive grant awards.

What is HETAP?

The Higher Education Technical Assistance Project (HETAP) targets institutions of higher education, including minority serving institutions, focusing on sharing resource development strategies, regional health data and information, emerging health disparities research, community engagement, and opportunities for networking.