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NTO Data Science

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Supporting the training and educational missions of the National Network of Libraries of Medicine
Updated: 1 hour 21 min ago

Biomedical & Health RDM Training for Librarians: Participant Applications

Wed, 2017-10-11 16:33

Health science librarians are invited to participate in a rigorous online biomedical and health research data management training course, sponsored by the National Library of Medicine (NLM) and the National Network of Libraries of Medicine Training Office (NTO). The course provides basic knowledge and skills for librarians interested in helping patrons manage their research data. Attending this course will improve your ability to initiate or extend research data management services at your institution. Familiarity with the research lifecycle is recommended but not required.

The major goal of this course is to provide an introduction to data issues and policies in support of developing and implementing or enhancing research data management training and services at your institution. This material is essential for decision-making and implementation of these programs, particularly instructional and reference services. The course topics include an overview of data management, choosing appropriate metadata descriptors or taxonomies for a dataset, addressing privacy and security issues with data, and creating data management plans.

Course Components

The online asynchronous component of the program is 8 weeks from January 8 – March 2, 2018. The format includes video lectures, readings, case studies, hands-on exercises, and peer discussions. Expect to spend up to 4 hours each week on coursework. Participants will be assigned a mentor, who will be available to guide and advise throughout the course and in the completion of a Capstone Project.

Between the end of the online component and the Capstone Summit, participants will complete a Capstone project, demonstrating improved skills, knowledge, and ability to support data management services at their institution. The experience will culminate with a Capstone Summit, to be held on April 10-11, 2018 at NIH in Bethesda, Maryland. Each participant will receive up to $900 to support travel to the Capstone Summit. At the Summit, participants will have the opportunity to share their Capstone projects, network with experts and each other, meet with NLM leaders in data science, and learn about cutting edge NIH data initiatives.

CE Credits

Participants who complete all modules, the Capstone Summit, and the course evaluation will receive MLA CE credit (exact number of hours to be determined). No partial CE credit is granted.


The primary instructor is Shirley Zhao, MSLIS, MS, Data Science Librarian from the Spencer S. Eccles Health Sciences Library, University of Utah.

Each module will be co-taught by a practicing data librarian.

Who can apply?
  • Applications are open to health science librarians in the United States.
  • Applicants will be accepted from libraries currently looking to develop or enhance research data management training and services.
  • A letter of institutional support is required. See application instructions below.
  • Enrollment is limited to 40 participants.
What does it cost?

There is no charge for participating in the program. Participants will receive a stipend of up to $900 to cover travel costs to the Capstone Summit. Additional travel costs must be covered by the individual or their institution.

Important Dates
  • Application deadline: November 8, 2017
  • Notifications: Week of December 4, 2017
  • Online Course: January 8 – March 2, 2018
  • Capstone Summit: April 10-11, 2018
Application Details
  • Name and Contact Information
  • Current Role/Title
  • Place of Employment
  • Briefly describe your current experience or interest in research data management and why you would like to participate in this training.
  • Briefly describe the current status of research data management services at your library, including any barriers to implementation.
  • This training will have been worthwhile to you and your institution if…
Application Instructions

Please fill out the online Application Form, and upload a PDF of your current CV and your letter of institutional support. The letter of institutional support must be from your supervisor and address the following:

  1. time for participation in online course and Capstone Summit;
  2. the library’s commitment to or plans for adding or enhancing research data management services.

Please submit your application via the online form by November 8, 2017:


Contact NTO at

Categories: Data Science

Call for Reviewers, Co-Teachers, and Mentors

Wed, 2017-10-04 02:55

Are you an information professional experienced in research data management? Are you eager to share your knowledge with others and help expand the community of data librarians? The National Network of Libraries of Medicine Training Office has several opportunities for you to contribute to shaping a new training experience specifically for librarians.

Biomedical and Health Research Data Management Training for Librarians is an 8-week online class with engaging lessons and practical activities, starting in January 2018. Students will complete a capstone project at the end of the course and the experience will culminate in a Capstone Summit at NIH on April 10-11, 2018. A short description of the whole program can be downloaded here.

Modules for the course may include, but are not limited to the following core research data management (RDM) areas:

  1. Data Lifecycle and RDM Overview
  2. Data Documentation
  3. Data Wrangling
  4. Data Standards, Taxonomies, and Ontologies
  5. Data Security, Storage, and Preservation
  6. Data Sharing and Publishing
  7. Data Management Plans
  8. RDM at Your Institution

We are looking for experienced data librarians to participate in this project as module reviewers, co-teachers, and/or mentors. You may (and are encouraged to) apply for more than one role, and for more than one module.

Reviewers: Critique module content, test exercises, make suggestions, add resources.
Deliverable: written report of findings (due November 30, 2017).
Paid $250.

Co-Teachers: Assigned to one or more modules. Work with course facilitator to create a case study related to module topic (due November 15). Provide feedback on student assignments and answer questions for your module(s) in a timely manner during the course (January – March 2018).
Deliverables: Case study by deadline, written report of suggestions for class improvement (due April 2, 2018).
Paid $750.

Mentors: Participate in class discussions, sharing expertise as needed, during the course (January – March 2018). Provide at least 2 mentoring sessions to each assigned student (4-5) for completing the Capstone project, attend and participate in the Capstone Summit.
Deliverables: written report of experience as mentor, suggestions for program improvement and sustainability of project.
Paid $1250, and travel support to Capstone Summit up to $1250.

All reviewers, co-teachers, and mentors will be required to submit a W-9. Those receiving $1000 or more will also be required to complete a contract with the University of Utah.


Please submit your application via the online form by October 20, 2017:

Application Includes:

  • Name
  • Current Role/Title
  • Place of Employment
  • Please briefly describe your area(s) of interest, research, or primary expertise in data management.
  • Please summarize your qualifications to serve as a content reviewer, co-teacher, and/or mentor for this research data management class.
  • Indicate which modules you would like to serve as a content reviewer and/or co-teacher.
  • Would you like to serve as a mentor for 4-5 students in completing the Capstone Project?
  • Curriculum vitae (attachment)

Please contact Shirley Zhao, Training Development Specialist.

Categories: Data Science