Christine Nieman, MLS
Data Management 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 |
|---|---|
| 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 In this 90 minute webinar. |
| Hosting a Hackathon: Lessons Learned from Libraries | Join us during Love Data Week 2023 for a panel discussion on how to organize and host a hackathon! In this virtual discussion, panelists will share their experience hosting hackathons/codeathons in library spaces (both virtual and in-person) followed by ample time for Q&A. |
| Library Carpentry Workshop: Region 1 - Fall 2022 | Library Carpentry focuses on building software and data skills within library and information-related communities. Their goal is to empower people in these roles to use software and data in their own work and to become advocates for and train others in efficient, effective, and reproducible data and software practices. |
| 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. |
| Region 1: NNLM Day at MLA 2023 | Meet the NNLM Region 1 during NNLM Day at MLA 2023! |
