Abstract
To bring about the transformational changes in our transportation system like those being explored by the EEMS program, data sharing must be endemic. The data landscape for transportation and mobility is complex. Current EEMS models require data from vehicles, sensors, and travelers and these data volumes are growing beyond the capabilities of spreadsheets and relational databases. Historically, valuable EEMS datasets have been protected by non-disclosure agreements (NDAs) and licenses or hoarded as a competitive advantage, which makes sharing legally challenging. Even sharing data developed in the public space is limited because of size, quality, or complexity. These obstacles limit data accessibility, which prevents or delays multi-institution research collaboration. For EEMS to succeed, data collaboration is critical, and successful data management must consider factors such as data integrity, privacy, and security.
Original language | American English |
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Number of pages | 5 |
State | Published - 2020 |
Bibliographical note
See the Vehicle Technologies Office Energy Efficient Mobility Systems 2019 Annual Progress Report at https://www.energy.gov/sites/prod/files/2020/06/f76/VTO_2019_APR_EEMS_COMPILED_REPORT_FINAL_compliant_.pdfNREL Publication Number
- NREL/MP-5400-78660
Keywords
- EEMS program
- mobility
- transportation