Staff Bio
Christine Nieman, MLS
Data Education Librarian, Region 1
Christine Nieman is the Data Management Librarian for the Network of the National Library of Medicine in Region 1. She earned her MSLIS from Drexel University with a minor in applied data science. Christine previously worked for the University of Pennsylvania's Veterinary Library and Drexel University Libraries in Philadelphia, PA. From 2016-2019, Christine worked with research data hands-on as a Biological Science Technician for the Agricultural Research Service in Wyndmoor, PA. She supports courses and programs related to research data management and other data literacy topics.
Classes I Teach
| Event Title | Summary |
|---|---|
| Artificial Intelligence & Healthcare: An Overview for the Curious - Love Data Week 2024 | Join us for Love Data Week 2024 to learn about AI in Healthcare! |
| Health Statistics on the Web (January 29, 2024) | Learn the difference between data and statistics, key features and use of health statistics, steps to finding health statistics, and sources of health statistics at the local, state and national level in this 90-minute webinar. |
| Open Tools for Data De-identification | This webinar will provide a brief introduction to data science topics and terminologies. |
| Open Tools for Data De-identification | This webinar will provide a brief introduction to data science topics and terminologies. |
| RDM On-demand: Data Curation and Documentation | Learn about data curation in this introductory, four-hour, on-demand course, including the definition, types, and elements most important to document. You will also learn about file naming conventions and check a dataset for issues using a case study. |
| RDM On-demand: Open Science and Data Science | What is open science, and how does it differ from data science, and research data management? How can library staff support data science in their own work? This introductory, four-hour on-demand course introduces the concepts of open science, data science and research data management through readings, tutorials and videos. After taking this course, you will be able to describe the differences between research data management (RDM), data science, and open science, articulate how open science supports research integrity and reproducibility, and list ways librarian staff can support data science. |
| Supporting Open Science: Tools and Trends | Explore the concept of "open science" and ways to practice reusability and reproducibility in research through free tools from the National Library of Medicine (NLM). |
| The Research Data Services Landscape: How Do You Start and Where Does Your Library Fit In? | Are you curious about what this whole data thing entails? Are you interested in starting new research data services at your institution? Have you considered a career in data services? If you answered “yes” to any of those questions, this webinar is for you. We'll discuss how to start and where your library fits in. |
