The Internet of Things: Impacting Scientific Data and Information Flows
When: Friday, December 9, 2016, 9:00AM-4:45PM EST
Where: National Academies of Sciences, Engineering & Medicine
Keck Center, 500 Fifth St., NW, Washington, DC
Room 100
Abstract: The Internet of Things (IoT) has become more than just a buzzword in technology circles. It’s even fair to say the IoT has evolved into a mature concept impacting a broad range of business sectors, especially including government data collection, information services, and scholarly research.
The IoT represents significant potential to advance scholarly research and communication, yet what are the implications for government agencies and information services when it comes to the IoT? How will researchers leverage the IoT to enable groundbreaking advances in their fields of study? What role are federal agency libraries playing, in concert with their private sector partners, to take advantage of the IoT in fulfilling their missions?
To explore this topic in-depth, join CENDI, NFAIS, Research Data Alliance/US (RDA/US) and the National Academies Board on Research Data and Information for a one-day workshop, Friday, December 9, 2016, for data professionals on the evolving concept of the “Internet of Things” and its impact on scientific data and information management.
Data Innovation Day “Positioning Data for Maximum Value”
Register- None required
When: Monday, December 12, 2016, 9:00AM-2:30PM EST
Where: US Department of Agriculture (USDA)
1400 Independence Ave. SW, Washington, DC
South Cafeteria, Conference Room
Abstract: The US Department of Agriculture (USDA) Office of the Chief Information Officer is excited to be hosting the first USDA Data Innovation Day on Monday, December 12, 2016. As government continues to trend towards “data-driven” and “evidence-based” decision making organizations, the USDA Data Innovation Day will feature innovative ways in which USDA is using data to achieve its mission. This event will provide USDA Agencies and Offices with the opportunity to showcase their data projects and applications.
