DeCODER | EarthCube

Democratized Cyberinfrastructure for Open Discovery to Enable Research

Standardize how scientific data is described

Allow search engines for scientific data to support discoverability AND
Facilitate the usage of the data

The new NSF CSSI Democratized Cyberinfrastructure for Open Discovery to Enable Research (DeCODER) project will expand and extend the successful EarthCube GeoCODES framework and community to unify data and tool description and reuse across geoscience domains. (See announcement.)

GeoCODES Portal

Adoption of science-on-schema

The internet works because of defined standards and protocols (e.g. TCP/IP, HTTP, HTML). This allows software, which must be sustained, to change and evolve over time, with better software with new features to emerge (e.g. new browsers, new web servers), while still allowing everything to just work from the user perspective.

That’s what we are doing here for research data through the adoption of science-on-schema.

DeCODER will continue to partner with ESIP and the Council of Data Facilities with the adoption of this standard across the partnering geoscience data centers, building search aggregators that can now crawl data center collections and construct a centralized index by which users, or other software through a provided API, can find data of interest across all available sources.

Science applications

To understand and address critical geosciences challenges we must find and leverage data and tools from across national and international facilities and programs. While building a flexible and extensible framework to fit many geosciences domains, the DeCODER project will also work with three specific communities, to ensure a tight connection to real science needs:

low-temperature geochemistry
ecological forecasting
deep ocean observing

Center for Ecosystem Forecasting

The Center develops tools that forecast everyday services provided by ecosystems, like water quality, forest production, and more. They develop and deploy environmental sensors, build robust ecological models, and work closely with forecast users to co-create tools that can guide decision-making on human health and well-being. Their goal is to develop reliable forecasts and intuitive visualizations that protect our communities and advance our understanding of ecosystems.

Learn more

PODCAST - Open Geo AI:

Unveiling Satellite Insights through Open Data

In this podcast , Tao Wen and Carl Boettiger share real-life success stories at the intersection of open data, AI, and satellite information. From ML models for land-water systems to open science initiatives, explore how diverse sectors leverage time series models, R environments, and NASA's Open Scripts project on AWS Cloud for transformative decision-making.

Listen to this episode and others in the series here.

Events

DeCODER Town Hall: Use Case Applications for a Democratized Cyberinfrastructure for Open Discovery to Enable Research

Thursday, 14 December 2023