February 12-16 is International Love Data Week 2024,* which highlights the importance of data and how to use it responsibly. The NIH Library loves data and is celebrating every day this week by sharing different ways to help you love your data.
MONDAY: Data Services
The NIH Library provides expert guidance on data curation, bibliometrics, bioinformatics, biostatistics, and data visualization throughout the research process:
- Bibliometric Services
Publication analysis to understand and evaluate the impact of research produced by NIH scientists and institutions. - Bioinformatics Support
Solutions for retrieving and analyzing biological data - Data Services
Data management, data visualization, data analysis, statistical support, the R programming language, and Python platforms and tools
TUESDAY: Data Science Classes
The NIH Library offers Data Science classes through the NIH Library Training Program. Learn more about each class and register through the links below:
- Data Visualization in ggplot: Customizations, February 13, 1:00-2:30 pm
- Python for Data Science: How to Get Started, What to Learn, and Why, February 14, 11:00 am-12:00 pm
- Resources for Finding and Sharing Research Data, February 15, 11:00 am-12:00 pm
- Managing Data in Excel, February 16, 12:00-1:00 pm
- NIH Library Research Analytics Team Office Hours, February 16, 1:30-2:30 pm
- Data Science and AI: AI for Beginners with MATLAB, February 22, 10:00-11:30 am
- NIH Library Lunch & Learn: How to Cite Data, February 22, 12:00-12:30 pm
- Data Visualization in ggplot: Visualizing Relationships and Linear Regression, February 29, 1:00-2:30 pm
- Creating Charts in Excel, March 7, 12:00-1:00 pm
- Data Science and AI: Predicting Toxicity in Small Molecules using MATLAB, March 12, 12:00-1:00 pm
WEDNESDAY: Data Videos
Videos Created by NIH Library Staff
- Data Management and Planning: Getting Started
Learn the fundamentals of data management, including how to define key stakeholders and outline data management plans - Introduction to RStudio: Overview
Get an overview of the benefits of using R for computational projects - Introduction to RStudio: Interface
Watch a short introduction to the RStudio Interface - Introduction to RStudio: Scripts
See a demonstration on creating and running scripts in RStudio
Videos Available from the NIH Library’s Online Collection
- Sage Data Science Visualization Videos and Tools
Videos, charts, tools, datasets, and tips to help both beginner and advanced researchers create impactful visualizations - Data Science, Big Data Analytics, and Digital Methods Videos
Video tutorials on everything from basic programming through advanced techniques in deep learning (click the link under “Browse by”) - HSTalks Data Videos
Recorded lectures related to data science in the biomedical field
THURSDAY: Data Resources
- Bioinformatics and Data Science Workstations (reservation required)
The NIH Library has high-performance workstations loaded with specialized analysis tools and databases. Reserve a workstation to use virtually or in person at the NIH Library in building 10. Learn more about the tools and databases available on the workstations through the links below:- Bioinformatics Analysis Tools and Databases
Perform sequence analysis and pathway analysis using Partek Flow, CLC Genomics, or Ingenuity Pathway Analysis. Develop bioinformatics workflows using MATLAB - Data Analysis, Processing, and Visualization Tools
Perform data analysis and interpretation using tools such as JMP, SPSS, GraphPad Prism, NVivo, and Tableau
- Bioinformatics Analysis Tools and Databases
- Data Science eBooks
Discover Data Science eBooks from the NIH Library’s online collection
- Data Science Journals
Access key Data Science journals from the NIH Library
FRIDAY: Data Subject Guides
Developed by NIH Librarians, these information-rich resources were created to help you find and manage data.
- Finding Datasets, Data Repositories, and Data Standards
Comprehensive resource for NIH staff to find datasets and repositories for sharing and reuse. Includes resources for intramural NIH researchers related to the 2023 NIH Data Management and Sharing Policy. - Data Management Sharing Plan Points of Contact
List of NIH contacts for technical and subject-specific information on data management plans. - Information on Data Management Planning and Sharing
Key information related to the 2023 NIH Data Management and Sharing Policy, developed specifically for NIH staff. Find sample data management plans, tools to develop plans, data repositories, data journals, tutorials, and more. - Health Disparities
Guide for researchers to locate health disparities and health equity data.
*Learn more about International Love Data Week 2024.
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The NIH Library is part of the Office of Research Services (ORS) in the Office of the Director (OD), and serves the information needs of staff at NIH and select HHS agencies.
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