Data Science / Data Management Guides
This section of the Data Driven Discovery Initiative provides resources to explore recommended competencies, knowledge, skills, and dispositions for data librarians. Professional organizations and networks, as well as resources and strategies to stay current are provided.
The NNLM Data Glossary includes definitions, relevant literature, and web resources related to data terminology.
A selection of articles and teaching resources for librarians who are interested in offering data services at their institution. There are many other resources widely available online, and even those not pertaining to medical librarianship are adaptable to many data service contexts.
|NCDS Data Internship|
|NLM Product Guides||
Short guides for NLM Products available for download in PDF format. Each guide includes a brief description, popular uses, key points, potential predicaments, teaching examples, real-life examples, and links to more resources. The product guides are primarily for people in instruction or training roles such as librarians, faculty leads, or mentor researchers. The guides provide instructors with examples and ideas for teaching people about NLM products.
|NNLM Toolkit for the NIH Data Management and Sharing Policy||
A selection of guides, toolkits, and other resources for librarians working on addressing the NIH Data Management and Sharing Policy.
|RD3 Scope Statement and Selection Criteria||
The Resources for Data Driven Discovery (RD3) Portal fosters learning and collaboration in data science and data management. The portal will primarily serve librarians and library administrators working in institutions that are generating, sharing, storing, and/or using data for basic scientific, clinical, or translational research and teaching in the health, biological, and physical sciences. As such, the portal will bring together resources on education, outreach and collaboration, best-practices, and current events for data-driven research. The portal will provide librarians with the tools, knowledge, and skills to effectively participate in networked science and teach data topics to Network of the National Library of Medicine (NNLM) stakeholders.