Thank you for visiting the “eScience Portal for Librarians.” The “eScience Portal” is no longer being maintained by the University of Massachusetts. This regional resource has been adapted by the National Network of Libraries of Medicine, and is sustained by the network of regional medical libraries across the country. Please visit https://nnlm.gov/data for up-to-date data services and resources supported and vetted by the National Libraries of Medicine. We look forward to your continued involvement in the programming in the New England Region and beyond. If you have questions, please contact Mary.Piorun@umassmed.edu.

Data Literacy

Data Literacy

Data Literacy is an emerging area of interest for librarians.  As with many emerging and interdisciplinary fields, data literacy means different things to interested stakeholders and experts.  Rather than trying to produce a definitive explanation of what data literacy means on this site we seek to present resources that depict multiple viewpoints to enable you, the reader, to make your own decisions based on your specific contexts and needs.

However, we strongly believe that librarians have a role to play in data literacy and that the work librarians and others have invested in understanding and responding to information literacy can serve as a foundation for this role. Therefore, we are employing the term "Data Information Literacy" (DIL) on this site to make this connection clear and to keep it at the forefront of the discussion as we define our roles and responsibilities in this space.     

 

DIL Section Pages

1. Course materials for DIL programs

  • Materials (syllabi, slides, curricula, etc.) that have been used or are specifically designed for developing educational programs on teaching data competencies to faculty or students in domain sciences (i.e. not to librarians). General & discipline-specific resources will be identified.

2. Research on DIL 

  • Applied - Materials (articles, reports, project websites, etc.) that contain the results of research done on what data competencies could / should be taught and/or how they could be taught.
  • Theoretical – Materials (articles, etc.) that contain research on theories, models, arguments or other high level considerations on DIL education.

3. Guides & Reference Materials

  • Materials that are not directly focused on DIL education per se, but may have value in either informing the development of DIL programs, or have value as class readings or reference materials.  This may include guides (such as those produced by the UKDA & ICPSR and others) and reference materials on data generally. 

ALSO! Bonus section: How to cite data