PAR-17-159: Data Science Research: Personal Health Libraries for Consumers and Patients (R01)
Internal Deadline: January 19, 2018, 5pm PDT
LOI: February 16, 2018, 5pm PDT
External Deadline: March 19, 2018, 5pm PDT
Award Information: Type: Grant
Estimated Number of Awards: Contingent upon NIH appropriations, &c.
Anticipated Amount: Up to $250K direct costs may be requested in any single year.
Submission Process: PIs must submit their application as a Limited Submission through the Office of Research Application Portal: https://app.wizehive.com/webform/USCgrants
Materials to submit:
- Single Page Proposal Summary (0.5” margins; single-spaced; font type: Arial, Helvetica, or Georgia typeface; font size: 11 pt.).
- CV – (5 pages maximum)
Link to Award: https://grants.nih.gov/grants/guide/pa-files/PAR-17-159.html
The National Library of Medicine seeks applications for novel data science/informatics approaches that can help individuals gather, manage and use data and information about their personal health.
To bring the benefits of big data research to consumers and patients, new biomedical informatics and data science approaches are needed, shaped to meet the needs of consumers and patients, whose health literacy, language skills, technical sophistication, education and cultural traditions affect how they find, understand and use personal health information. Novel data science approaches are needed to help individuals at every step, from harvesting to storing to using data and information in a personal health library. Areas of development suggested below are not meant to limit the scope or creativity of proposed projects.
- Constructing a personal health library: informatics approaches that help a person gather together different types of health data/information/knowledge into a single, searchable resource for personal use, including intelligent mapping tools for vocabulary used to describe elements of the library.
- Managing a personal health information library: novel informatics approaches that make it easy for an average user to expand or remove entries, make notes or corrections, including intelligent tools that alert the user to new information about topics covered in a personal health information library.
- Using a personal health library: data science and informatics approaches that make it easy to find and use the information stored there, including visual tagging, text summarization, graphics translation, knowledge mapping, suggestions for tutorials, analytic and visualization techniques that make the information understandable based on characteristics of the individual user or group.
- Digital librarian/assistant for personal health library: data science and informatics approaches that bring machine intelligence to the management and use of a personal health information library through personalized alerts and suggestions, literacy aids, translators or other approaches, taking into account characteristics of the individual user or group.
Visit our Institutionally Limited Submission webpage for updates and other announcements.