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SEA Currents

Newsletter of the NN/LM Southeastern/Atlantic Region

SEA Professional Development Award Available for Data Science and Visualization Institute for Librarians

Have you been accepted to or are applying to the Data Science and Visualization Institute for Librarians being held April 24-28, 2017 at the James B. Hunt Jr. Library, North Carolina State University?  NNLM SEA has Professional Development Awards available to help with the cost of attendance.

The Institute 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.

Application deadline for the Institute is 11:59 pm EST on January 27, 2017.

For more information on NNLM SEA Professional Development Awards, see our funding page.

NLM, SEA and NDCO Offices Closed Monday, January 16, 2017

The National Network of Libraries of Medicine, SE/A Region office and the NDCO will be closed on Monday, January 16, 2017 to observe  Dr. Martin Luther King Day.  We will reopen at 8:30 am on Tuesday, January 16,2017.

The National Library of Medicine will also be closed on the 16th of January for MLK Day and also on January 20, 2017 for the inauguration event in DC.

NNLM Quarterly Journal Club

Join your RML staff and colleagues in reading and discussing new research in the field of health sciences librarianship! Participants will commit to attending four one-hour sessions every three months. Outreach specialists at the Greater Midwest Region will host and present an article at each session via WebEx. After the 30-minute presentation, participants from each NNLM region will separate into online breakout rooms for a facilitated discussion led by a coordinator from your region. Medical Library Association (MLA) continuing education credits will be available for those who participate in all four sessions.

The journal club sessions will take place at 1:00 pm CT / 2:00 ET. The schedule for 2017 is as follows:

February 9, 2017 Instructional methods used by health sciences librarians to teach evidence-based practice (EBP): a systematic review (link is external)

May 11, 2017 Information Needs in the Precision Medicine Era: How Genetics Home Reference Can Help (link is external)

August 10, 2017 The Lived Experience and Training Needs of Librarians Serving at the Clinical Point-of-Care (link is external)

November 9, 2017 Usability and Acceptance of the Librarian Infobutton Tailoring Environment: An Open Access Online Knowledge Capture, Management, and Configuration Tool for OpenInfobutton (link is external)
Class Length:

1 hour

To register for the SEA Region: <>

To see the class page overview: <>

The journal club has also been officially added to the PubMed Commons Journal Club page:

If you have any questions, please contact Terri Ottosen, <>


Prepare for Winter Weather Emergencies with NLM

Don’t get caught out in the cold! You can prepare for snow, freezing temperatures, and other winter weather emergencies by using the following tools from National Library of Medicine (NLM) to learn and teach others about winter weather preparedness:

  • Winter Weather Topics on MedlinePlus: MedlinePlus, which offers reliable consumer health information and resources curated by experts from NLM, has a number of Health Topics pages related to winter weather preparedness, including Winter Weather EmergenciesFrostbite, and Hypothermia.  You can also learn through the Medical Encyclopedia on MedlinePlus how to prevent frostbite and hypothermia.
  • Multilingual Information on Winter Weather: The Winter Storms and Extreme Cold page on HealthReach offers a one-page handout in five different languages (English, Arabic, Bosnian, Somali, and Spanish) educating people about how to stay safe during winter storms and extreme cold.  The information is also available in all five languages in video or audio formats.
  • Winter Weather Safety Information on Disaster Lit: Find public health documents related to winter weather through the Disaster Lit database, including guideline/assessment tools, reports, and informational websites.

Fundamentals in Data Science Webinar Series: 2017 Winter/Spring Schedule Announced

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 12noon-1pm Eastern Time/9am-10am Pacific Time. No registration is required.

To join the lecture:

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.  To see archived presentations, go to:


The following topics will be covered in January through May of 2017:


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)


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)


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.

Last updated on Tuesday, Nov 8, 2016

Funded under cooperative agreement number UG4LM012340 with the University of Maryland, Health Sciences and Human Services Library, and awarded by the DHHS, NIH, National Library of Medicine.