Course TEST

1.5 CE

Learn how to answer the hard questions that arise when you begin planning to develop or expand your data services.

1.5 CE

If you are a health, biomedical sciences, or instructional librarian or other health information professional looking for new ways to serve your patrons, learning how to conduct and explain the unique process needed for a successful dataset search may be just what you need!

1.5 CE

Learn how to identify the components of a clean and tidy dataset and describe the steps needed to process and normalize a “dirty” dataset.

1.5 CE

In this webinar, you will learn the best data principles while working with spreadsheets, identify how to curate and identify common issues with spreadsheets, and set the foundations for getting data more interoperable with downstream processes.

1.5 CE

In this webinar, you will learn the best data principles while working with spreadsheets, identify how to curate and identify common issues with spreadsheets, and set the foundations for getting data more interoperable with downstream processes.

1.5 CE

Learn how to appraise qualitative research using appropriate standards and tools and enhance your contribution to the practice of Evidence Based Medicine (EBM) and boost your value in your workplace.

1.5 CE

Take your data management skills beyond common data management practices to another level.

1.5 CE

Can you evaluate data collection methods? Interpret and evaluate data documentation? Help researchers find a quality data set that suits their purpose? Gain the skills needed to answer Yes! and become more marketable and more valuable in your workplace.

32 CEs

This online class covers the basics of programming in Python for data science projects, with a general look at data science and algorithmic concepts. It also looks at coding topics such as the understanding and tools needed to clean data, create data visualizations, and share reproducible results.

1.5 CE

Register for this webinar to learn how to grow and mature your data support program. Webinar approved for the MLA Data Services Specialization.

1.5 CE

If you work with data or researchers or teach data management, you know the importance of quality data in research. Learn the characteristics of quality data, how to evaluate data quality, and how you can promote data quality in your instruction to improve the quality of your service to researchers and students.

1.5 CE

Register and leave with the tools, resources, and knowledge you need to establish campus buy-in, plan a competition, and bring excitement to your library.

1.5 CE

Acquire skills and knowledge that will help make you one of the few health science librarians familiar with the de-identification techniques and knowledge needed to meet NIH and other requirements for public data sharing and multi-institutional research collaborations.

2 CEs

Explore freely available tools and resources to support open science and open data. To be held during the SCC chapter meeting on 10/26/24.

1.5 CE

Prepare your library to offer new data services and for you to expand your data services skill set!

1.5 CE

Health sciences librarians: Learn how to take advantage of your unique position to guide researchers through the complicated process of ethically sharing human subjects data.

1.5 CE

Health information professionals are needed to support researchers in the growing fields of climate change and health research in finding, using, and sharing FAIR research data. Learn how you can contribute to this important research.

2 CEs

To be held at the SCC chapter meeting on 10/26/24.

1.5 CE

If you work with data or support researchers who do, this webinar will prepare you to address legal and ethical issues in the use of social media data in health sciences research.

1.5 CE

Learn how you can use Common Data Elements (CDEs) to assist researchers and guide clinicians and others in interpreting research.

1.5 CE

Explore service examples, identify scientific research data challenges, and leave with checklists you can tailor to your community.