[Skip to Content]
Visit us on Facebook Visit us on FacebookVisit us on Twitter Visit us on TwitterVisit our RSS Feed View our RSS Feed
Region 7 Update April 6th, 2026
CategoriesCategoriesCategories Contact UsContact Us ArchivesArchives Region/OfficeRegion SearchSearch

Apr

06

Date prong graphic

This is your sign to start Data Services Specialization courses

Posted by on April 6th, 2026 Posted in: Blog


What is DSS?

DDS stands for Data Services Specialization. This certification from the Medical Library Association (MLA) tells employers that you have received training to provide data services to anyone who works with data. This includes (but is not limited to) researchers, clinicians, students, and librarians.

 

Core Classes 

There are four core classes that need to be taken in order to obtain the Level I DSS Certification. They are 4 credits each and will take about 4 hours each to complete. All of these are On-Demand classes, so feel free to go at your own pace.

 

-Research Data Management On-Demand

This class is an introduction to research data management for librarians. You can also learn best practices to support researchers and the best ways to keep documentation on data, as well as how to best store and preserve data. A great place to start if you want to see what the work of research data librarians entails, and if this may be a career path for you. Another aspect of this on-demand class is naming conventions of files, which are essential in our work.

 

-Research Data Sharing On-Demand

Receive an overview of data sharing processes, as well as best practices. Learning these guidelines (and practicing) will streamline your data sharing process. Other skills you will be introduced to in this class include “metadata creation, documentation review, and data de-identification.”

 

-Supporting Open Science: Tools and Trends On-Demand

Learn what “open science” means and how to practice the 5 R’s: Repeatability, Replicability, Reproducibility, Reusability, and Readability. You also learn about using free tools to achieve this in your work.

 

-Data Ethics On-Demand

Want to learn about ethical problems that may come up in research data management? This is a great place to start. Keep yourself aware and accountable in your work and show your employers that you can do your research and data work ethically. The ethical issues described in this class are pertinent to data librarians in the health sciences.

If you would like to learn more about these courses and register, visit the Data Services On-Demand webpage.

 

NNLM Funding

The NNLM provides financial support to cover the application fee for this specialization (as well as two others).

Once you complete the 4 core courses for DSS, you can fill out a short form to receive a code that will cover the cost of your application.

 

Upcoming NNLM class offering DSS credit

On April 9th at 12 pm ET, Region 7 is hosting a class called “Creating a Data Dashboard with Power BI”. Not only is this one-hour class eligible for DSS credit, but attendees can walk through the steps to make a data set come to life. Anyone who is new to Power BI or needs a refresher would be a great candidate for this course.

Registration page for “Creating a Data Dashboard with Power BI.” 

 

Data Services Specialization Level II Information

Congratulations, you have completed Level I of the DSS Certification and received your certificate! Now what?

If you have now completed the DSS Level I program, you can now move on to DSS Level II.

Read more about earning the next level of your certification on the Medical Librarian Association DSS Level II Pathway webpage.

As the field of data librarianship continues to grow and change, we can keep up with current coursework through the MLA to keep our skills sharp and relevant, as well as continue to support anyone who works with data in the health sciences and academia.

 

Additional resources for aspiring data service librarians

In addition to the DSS courses available, here are some additional staple resources for the data services profession.

FAIR data principles – NLM webpage

Data Curation Network CURATE(D) Steps webpage

Researchers should include an accompanying README file to provide additional information alongside metadata. You can read more about this on the Writing READMEs for Research Data- Cornell University webpage.

Image of the author ABOUT kimberlycarlo
Kimberly Carlo is the Data Consultant for Region 7 of the Network of the National Library of Medicine as of February 2025. Previously, she has participated in the Data Internship hosted by the National Center for Data Services (NCDS) during the summer of 2024 and has been interested in data librarianship ever since. She completed the MS- Information and Library Science program at the University at Buffalo in December 2025.

Email author Visit author's website View all posts by

NNLM Region 7
University of Massachusetts Chan Medical School
55 Lake Avenue North
Worcester, MA 01655
(508) 856-5985

This has been funded in whole or in part with Federal funds from the Department of Health and Human Services, National Institutes of Health, National Library of Medicine, under cooperative agreement number UG4LM012347 with the University of Massachusetts Chan Medical School.

NNLM and NETWORK OF THE NATIONAL LIBRARY OF MEDICINE are service marks of the US Department of Health and Human Services | Copyright | HHS Vulnerability Disclosure | Download PDF Reader