English Arabic Chinese (Simplified) French Hindi Japanese Korean Persian Portuguese Russian Spanish

Getting Started

About NNLM RD3: Resources for Data-Driven Discovery

NNLM RD3 has been developed to foster learning and collaboration in data science. It is a collaborative project devoted to educating science and medical librarians. Content for NNLM RD3 is contributed by a dedicated team of subject specialists from diverse regional research libraries. We encourage your involvement in NNLM RD3 through comments, discussions, and content contributions.

If you have comments, suggestions, or ideas for content, please contact your regional data coordinator!

NNLM RD3: Resources for Data-Driven Discovery Scope Statement: NNLM RD3 is a resource for librarians, library students, information professionals, and interested individuals to learn about and discuss:

  • Library roles in data science
  • Fundamentals of domain sciences
  • Emerging trends in supporting networked scientific research

NNLM RD3 is intended for librarians and individuals interested in how research and academic organizations generate, share, store and/or use data for scientific research, with an emphasis on research in the health, biological, and physical sciences. This website provides tools and information that will help information professionals effectively participate in networked science by collocating resources on education, outreach, and collaboration, as well as current practices and data science news.


Getting Started in Data Science

Are you new to data science? The following resources will start you on the road to understanding the areas in data science, including scholarly communication, library roles, the structure of the scientific research environment, data and its diversity, and the importance of data management.

  • The Fourth Paradigm – Don’t be intimidated, you don’t need to read the entire book in one sitting! (But it’s worth going back to read individual chapters). The Fourth Paradigm’s Foreword and the first chapter “Jim Gray on eScience: A Transformed Scientific Method” nicely illustrate how the integration of computers and evolving technologies have revolutionized the way science is conducted.
  • Data Types (4 min YouTube video) – Describes the diverse entities that come under the umbrella term data and the different ways data is captured.
  • The Journal of eScience Librarianship (JeSLIB) – Specifically dedicated to the advancement of e-Science librarianship, JeSLIB  includes peer-reviewed research  and “e-Science in Action” articles on topics such as research data management, librarians embedded on research teams, data services, data curation, and data sharing and re-use.

edited 12/18/2019