Data management mandates from federal funding agencies, professional societies, and publishers are becoming more common at all scales of research effort. To help researchers navigate the new requirements and implement effective, low-overhead data management workflows, Unidata is hosting an AMS Short Course on Data Management Planning and Implementation: Training on available open-source tools and services from the community and Unidata. The short course will be held the afternoon of Sunday, 10 January 2016, preceding the 96th AMS Annual Meeting in New Orleans, Louisiana.

The short course will provide information on the current mandates, present a researcher-focused approach to data management, and introduce freely available services and tools that can be combined to manage and share research data. The course is intended for practicing researchers who are interested in both meeting the current requirements and implementing “best practice” data management processes in their research effort. The course builds on and extends information available in Unidata's Data Management Resource Center.

The Big Data Project (BDP) is an initiative undertaken by the National Oceanic and Atmospheric Administration (NOAA) to increase public availability of large volumes of environmental data collected and generated by the agency. As part of the Big Data Project, Unidata is working in collaboration with Amazon Web Services (AWS) on a demonstration project to provide access to a more than twenty years of archived NEXRAD Level II radar data — augmented continuously with new, real-time data — stored in Amazon's Simple Storage Service (S3) environment. In addition to assisting AWS with ingesting new data flowing from the NEXRAD sites, Unidata Program Center staff have set up a THREDDS Data Server in the AWS environment to provide services allowing community access to the stored data.

The Unidata Program Center (UPC) is searching for atmospheric science researchers or research groups to participate in a pilot project aimed at designing and implementing robust data management workflows. The project aims to assist at least three community partners representing modest research projects of different scales in the implementation of data management processes that satisfy National Science Foundation and other federal funding agency requirements.

Beyond simply satisfying current funding proposal requirements, the project hopes to test effective methods of collecting, transforming, storing, and sharing atmospheric science data. The methods used will be documented and polished for broad community use as examples serving to guide similar projects. If successful, the project will give researchers tools to satisfy funding agency requirements while making their data more widely discoverable, available, open, and usable by others in the community.

Data management mandates from federal funding agencies, professional societies, and publishers are becoming more common at all scales of research effort. To help researchers navigate the new requirements and implement effective, low-overhead data management workflows, Unidata is hosting an AMS Short Course on Data Management Planning and Implementation: Training on available open-source tools and services from the community and Unidata. The short course will be held the afternoon of Sunday, 10 January 2016, preceding the 96th AMS Annual Meeting in New Orleans, Louisiana.

The short course will provide information on the current mandates, present a researcher-focused approach to data management, and introduce freely available services and tools that can be combined to manage and share research data. The course is intended for practicing researchers who are interested in both meeting the current requirements and implementing “best practice” data management processes in their research effort. The course builds on and extends information available in Unidata's Data Management Resource Center.

The HIWPP Open Data Initiative's first Users' Meeting will be held on Thursday, September 10th, from 1:00 to 3:00 pm Eastern Daylight Time. This will be a virtual meeting hosted via GoToMeeting.

The High Impact Weather Prediction Project (HIWPP) is a collaboration between a dozen or more organizations led by the NOAA Office of Oceanic and Atmospheric Research (OAR) Earth System Research Laboratory (ESRL) and the OAR/Office of Weather and Air Quality. Funded as part of the Hurricane Sandy Disaster Relief Supplemental Appropriations, the project aims to improve near term (from “now” to several weeks or months in the future) prediction of dangerous weather events including hurricanes, floods, and blizzards.