Do you spend a lot of time and effort curating and processing data before conducting your analysis?
Working with standardized data not only saves time and effort but improves data compatibility, reusability, and interoperability. Standardized data can also accelerate analyses of instrument- and model-based data, increase their reliability, and advance science.
The Marine Energy (ME) Data Pipeline team led by the Pacific Northwest National Laboratory (PNNL) is developing a data ingestion pipeline to read, process, and convert raw instrument data to standard formats. As part of this project, PNNL has developed an initial baseline set of data standards and would like to socialize the data standards with the ME community. The data standards document is available at the following link: https://github.com/ME-Data-Pipeline-Software/data_standards.
The Portal and Repository for Information on Marine Renewable Energy (PRIMRE) is hosting two webinars for the ME Data Pipeline team to introduce the development of the new ME data pipeline.
The first webinar, "Marine Energy Data Standards Webinar", on April 20, 2021 at 11:00 a.m. PDT, will focus on data standards. Register for the first webinar at the following link: https://pnnl.zoomgov.com/meeting/register/vJItceutqj8oGAAhQMxyBSprCbrLeS9fPwU.
The second webinar, "Marine Energy Data Pipeline Webinar", on May 11, 2021 at 11 a.m. PDT, will focus on the demonstration of the open-source time series data utility that can be used to convert raw data to standardized format. Register for the second webinar below.
We welcome your attendance and want to hear your ideas on ME data standardization.