EarthCube
EarthCube is an NSF-funded community-driven cyberinfrastructure initiative serving the geosciences research community. It provides data discovery tools (GeoCODES, DeCODER), 70+ funded science projects, and a peer-reviewed Jupyter notebook library to enable interoperable, reproducible earth science research.
- Company typePrivate
- Founded2013
- HeadquartersBoulder, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What EarthCube does
EarthCube is a community-driven, NSF-funded cyberinfrastructure initiative for the geosciences, established around 2011-2013 as a partnership between the NSF Directorate for Geosciences (GEO) and the NSF Office of Advanced Cyberinfrastructure (OAC). The organization operates as a research coordination program rather than a commercial entity, with funding flowing through NSF grants (documented awards #1928208 and #2209863) and no commercial pricing applied to its outputs, which are made freely available to the geoscience research community. EarthCube is headquartered in the United States with key personnel at UC San Diego and serves academic geoscientists, data scientists, and early-career researchers across institutions globally.
The platform's core technology stack centers on data interoperability and reproducibility. GeoCODES is a prototype data discovery portal that enables search across multiple EarthCube-related geoscience repositories, while DeCODER extends this framework using science-on-schema standards (schema.org, JSON-LD, RDFa) to standardize data descriptions across earth surface, ecological forecasting, and deep ocean observing communities. Supporting infrastructure includes a peer-reviewed Jupyter Notebook Directory (44 notebooks from 2020-2022 meetings, archived on GitHub and Zenodo with DOIs), Science Gateways, and container-based virtual computing environments. EarthCube encompasses 70+ funded sub-projects spanning domains including hydrology, cryospheric science, oceanography, and ecological forecasting—examples include GMTSAR (InSAR processing), Pangeo Forge (big-data climate science), Project Pythia (Python education), QGreenland (Greenland geospatial platform), ICEBERG (ML-based wildlife identification in satellite imagery), and Hydroshare.
EarthCube's go-to-market motion is community-led and event-driven: it operates through working groups, research coordination networks (6 active RCNs), annual meetings, webinars, and participation in major conferences such as AGU Fall Meeting. Distribution is entirely self-serve via the website portal, GeoCODES, GitHub, and Zenodo. The customer/user base is segmented horizontally into geoscientists, data/cyberinfrastructure specialists, and students/early-career researchers, with primary personas being academic and professional earth science researchers who need interoperable data, reproducible workflows, and community-driven collaboration tools aligned with FAIR data principles.
EarthCube firmographics
Firmographics- Name
- EarthCube
- Legal name
- EarthCube
- Website
- https://earthcube.org
- Company type
- Private
- Founded year
- 2013
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- EarthCube is an NSF-funded community-driven cyberinfrastructure initiative serving the geosciences research community. It provides data discovery tools (GeoCODES, DeCODER), 70+ funded science projects, and a peer-reviewed Jupyter notebook library to enable interoperable, reproducible earth science research.
- Ownership category
- akta.pro rank
EarthCube industry classification
Industry- Product category
- Geoscience Research Cyberinfrastructure
- NAICS
- Web Search Portals and All Other Information Services (51929), Computer Systems Design and Related Services (5415)
- SIC
- Services-Commercial Physical & Biological Research (8731), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Earth Science & Geoscience Programs (EDAMABAI)
- akta.pro secondary industries
- Dataset Discovery, Marketplaces & Licensing (HDAAALAE), Open-Source & Self-Hosted LMS (EDAFAAAL), Standards, Packaging & Interoperability Tools (SCORM/xAPI/cmi5/LTI) (EDAFAHAH)
Keywords
Where EarthCube is headquartered
LocationHeadquarters
- HQ city
- Boulder
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
EarthCube business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations
Revenue model
- NSF Grant Funding: EarthCube is primarily funded through National Science Foundation grants. The NSF Directorate for Geosciences (GEO) and Office of Advanced Cyberinfrastructure (OAC) provide core funding. Grant numbers referenced include 1928208 and 2209863.
Go-to-market motion3 records
Distribution channels3 records
Marketing channels7 records
EarthCube product offering
Product offeringCore offering
EarthCube builds and operates open-source cyberinfrastructure software for the geosciences research community. Its core products include GeoCODES (a search/discovery portal for geoscience datasets and other online resources), DeCODER (a tool that uses the science-on-schema.org framework to transform data into schema.org JSON-LD), and a Notebook Directory aggregating Jupyter notebooks. Funded by multiple U.S. National Science Foundation grants, the platform is provided free of charge to academic and scientific users to accelerate FAIR data practices across partner projects such as CHORDS, CliMA, CZNet, HydroGEN, LTER, NSF Unidata, OpenTopo, and Wicked Easy.
Product overview
EarthCube is a community-driven platform for geoscience research cyberinfrastructure, consisting of a portfolio of interconnected products. The core offerings include GeoCODES (a data discovery portal) and DeCODER (standardization framework using science-on-schema), which work together to improve data findability and interoperability across geoscience repositories. Supporting products include a Notebook Directory with 44 peer-reviewed Jupyter notebooks (2020-2022), Notebook Training Modules for community education, Software Citation guidelines, and a Science on Schema project. EarthCube also encompasses over 80 funded science projects including GMTSAR, ICEBERG, Pangeo Forge, Project Jupyter, Project Pythia, QGreenland, Hydroshare, Harmonized Earth, and Argovis 2.0, addressing domains from cryospheric science to ecological forecasting. The ecosystem is supported by FAIR (Findable, Accessible, Interoperable, Reusable) data principles, community webinars, and research coordination networks.
Differentiator
Problem solved
Functional benefit
Brands
- GeoCODES: A portal for searching data across EarthCube-related repositories.
- DeCODER
- Project Pythia
- Jupyter Meets the Earth
Products and services
- GeoCODES GeoCODES is EarthCube's data and resource search portal that enables geoscience researchers to discover datasets and online resources across partner projects and external repositories. It is intended for use by NSF-funded researchers, data managers, and geoscientists needing to locate and cite partner-project or community datasets.
- DeCODER DeCODER is a tool that uses the science-on-schema.org framework (schema.org JSON-LD) to transform raw, heterogeneous geoscience data into standardized, machine-readable form. It is intended for data managers, cyberinfrastructure developers, and researchers who need to make legacy datasets FAIR-compliant and interoperable.
- EarthCube Notebook Directory The EarthCube Notebook Directory is an aggregated catalog that pulls Jupyter notebooks from GitHub across the geosciences community, providing a single entry point for reproducible computational workflows. It is intended for researchers, students, and educators looking for examples of geospatial and Earth science analyses.
- Science-on-Schema.org Framework Science-on-schema.org is an open semantic framework that extends schema.org JSON-LD for geoscience data. It underpins tools like DeCODER and provides a community standard for describing and exchanging Earth-science datasets in a machine-readable, FAIR-compliant way.
Quantifiable outcome
- 44 peer-reviewed Jupyter notebooks produced from 2020-2022 annual meetings
- +2 more outcomes
Companies that use EarthCube
Customer profileNamed customers4 records
Segments3 records
Ideal customer profiles1 record
EarthCube technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability8 records
Feature6 records
EarthCube partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core, major and minor.
- ESIP (Environmental Science Information Partners)coreDeCODER partners with ESIP on adoption of science-on-schema standards across geoscience data centers, building search aggregators and centralized indexes for data discovery.
- Council of Data FacilitiescorePartnership with the Council of Data Facilities (CDF) for adoption of data standards and building federated data infrastructure across geoscience domains.
- AGU (American Geophysical Union)majorEarthCube holds annual meetings and town halls in conjunction with AGU conferences. The AGU Conference Center in Washington DC hosted the EarthCube Retrospective Meeting in November 2022.
- UC San DiegocoreUC San Diego Library Digital Collections hosts EarthCube organizational materials. Key personnel including Lynne Schreiber are based at UC San Diego.
- GoFAIRminorGoFAIR experts participate in EarthCube webinars on FAIR metadata and vocabularies, contributing to community capacity building around FAIR data principles.
Scale indicators6 records
Recent moves6 records
Expansion highlights6 records
EarthCube competitors and assessment
Company assessmentDirect peers
- Pangeo: An open community for scalable big-data geoscience, also funded by NSF and part of the EarthCube ecosystem (Pangeo Forge). Directly comparable because it offers cloud-based Jupyter + Xarray tooling for the same geoscience research audience.
- HydroShare: A collaborative hydrology data and model sharing platform, itself an EarthCube-funded project. Directly comparable as a domain-specific geoscience data repository with similar FAIR principles and academic user base.
- DataONE: Data Observation Network for Earth, an NSF-funded federation of earth and environmental data repositories. Comparable because it provides data discovery, metadata standards, and interoperability tooling for the same researcher community.
- ESIP Federation: Federation of Earth Science Information Partners, an open community advancing earth science data. Highly comparable: it is a strategic EarthCube partner and overlaps on FAIR data, community coordination, and webinars for earth science data practitioners.
Broad incumbents
- Esri ArcGIS Online: The dominant commercial GIS and geospatial data platform. Comparable because it serves many of the same geoscience mapping and spatial-data users that EarthCube targets, though as a much broader commercial offering.
- Google Earth Engine: A commercial-scale geospatial analysis platform with petabytes of earth observation imagery. Comparable in offering cloud-based geospatial analytics for geoscience and environmental researchers, though it is a much broader commercial incumbent.
Regional players
- CUAHSI: Consortium of Universities for the Advancement of Hydrologic Science, Inc. Comparable as a US-based academic consortium providing data services and cyberinfrastructure to hydrology researchers — an adjacent domain EarthCube also serves.
Emerging players
- Research Data Alliance (RDA): An international community developing research data sharing and interoperability standards. Comparable because it works on cross-domain metadata standards and reproducibility, overlapping with EarthCube's science-on-schema and FAIR agenda.
- ICEBERG (NSF): Imagery Cyberinfrastructure project for ML on satellite imagery. A direct EarthCube-funded peer project applying computer vision to polar wildlife counting; comparable as a research-grade cyberinfrastructure initiative with overlapping community.
Others
- Zenodo (CERN): An open research data repository hosted by CERN. EarthCube already archives its peer-reviewed notebooks on Zenodo for DOIs; comparable as a publishing-and-citation platform for open research outputs.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
EarthCube social profiles
Digital presenceEarthCube financial estimates
Financial estimateRevenue estimate
Valuation estimate
EarthCube leadership team
Management profileNumber of profiles
Profiles1 record
EarthCube funding detail
Funding detailFunding overview
Funding rounds
Investors
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EarthCube M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about EarthCube
What does EarthCube do?
EarthCube builds and operates open-source cyberinfrastructure software for the geosciences research community. Its core products include GeoCODES (a search/discovery portal for geoscience datasets and other online resources), DeCODER (a tool that uses the science-on-schema.org framework to transform data into schema.org JSON-LD), and a Notebook Directory aggregating Jupyter notebooks. Funded by multiple U.S. National Science Foundation grants, the platform is provided free of charge to academic and scientific users to accelerate FAIR data practices across partner projects such as CHORDS, CliMA, CZNet, HydroGEN, LTER, NSF Unidata, OpenTopo, and Wicked Easy.
Is EarthCube a public or private company?
EarthCube is a private company. It is classified as state government owned and is currently operating.
When was EarthCube founded?
EarthCube was founded in 2013. It employs 11 to 50 people.
Where is EarthCube based?
EarthCube is headquartered in Boulder, United States, in the North America region.
How does EarthCube make money?
One revenue line is on record: NSF Grant Funding.
Who are EarthCube's main competitors?
Direct peers on record are Pangeo, HydroShare, DataONE and ESIP Federation. Broad incumbents are Esri ArcGIS Online and Google Earth Engine. CUAHSI is listed as a regional player. Emerging players are Research Data Alliance (RDA) and ICEBERG (NSF). Zenodo (CERN) is listed as an others.
Does EarthCube have an API?
Yes. EarthCube provides APIs through its GeoCODES framework for data discovery. The DeCODER project provides an API that allows users and other software to find data of interest across multiple sources. Science-on-schema standards (encoded using JSON-LD or RDFa) enable machine-readable data descriptions for interoperability.
What industry is EarthCube in?
EarthCube's product category is Geoscience Research Cyberinfrastructure. Its primary akta.pro industry code is EDAMABAI, Earth Science & Geoscience Programs, with a secondary code of HDAAALAE, Dataset Discovery, Marketplaces & Licensing. Its NAICS code is 51929 and its SIC code is 8731.