Open Science

Interoperable, standards-compliant platforms are essential for advancing science

Science is the basis for fighting climate change together. Esri is committed to providing resources to help create a sustainable future.

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Esri supports and contributes to over 200 open-source projects while delivering more than 350 of its own. Many projects are science-based, and Esri software provides direct read, import, and export for over 300 data formats with more than 200 for images and sensors. We support findable, accessible, interoperable, and repeatable (FAIR) data principles and over 100 geospatial standards from the International Organization for Standardization Technical Committee (ISO/TC) 211, Open Geospatial Consortium (OGC), and others. Esri also provides open access to scores of APIs and SDKs—all essential for open science.

Learn how we support FAIR data

Open source and interoperability standards

Watch Esri president Jack Dangermond and standards product manager/open strategist Satish Sankaran discuss standards, interoperability, open data, Python APIs, open software libraries, and Esri's participation in open science going forward.

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Esri is natively open source

The scientific community is very interested in leveraging open-source code and solutions with Esri technology. However, many are still surprised to hear that Esri produces free, open-source products such as Esri Geoportal Server. Esri has a significant presence on GitHub with our open-source stack and examples of projects that use open source to accelerate our work.

  • App builders: ArcGIS Instant Apps, ArcGIS Dashboards, ArcGIS StoryMaps, ArcGIS Experience Builder
  • Visualizations: Esri Leaflet, CedarJS
  • Data serving: Koop
  • Analysis: Limited Error Raster Compression (LERC), NumPy, R, Spark, Hadoop, and Geometry Engine
Get Esri Geoportal Server
View Esri resources on GitHub

Integration with R

R, also known as the R Project for Statistical Computing, is the extremely popular and fastest growing environment for statistical computing, including within a range of environmental sciences. Esri's membership in the R Consortium made the list of biggest R stories for 2016, and the new R ArcGIS bridge, now compatible with Microsoft R Open, is more valuable than ever for advancing the capabilities of analyses across multiple disciplines.

Explore the R ArcGIS Bridge
Take an R ArcGIS Bridge lesson

Python for open science

Python is used for all things geospatial, from data conversion and automation to exploratory data analysis, space-time analysis, and geocomputation. Esri's ArcGIS API for Python lets you engage with data, analytics, and visualization through a clean Python API. Python raster functions, a curated set of lightweight but powerful tools, enable on-the-fly image processing and raster analysis in ArcGIS.

Explore ArcGIS API for Python
Get Python raster functions

Notebooks for open science

Notebooks have become a crucial tool in the Python and data science communities. Jupyter Notebooks are favored among Python users for their seamless integration with some of the most important Python libraries in a structure that encourages efficient prototyping and visualization. There are many types of Python notebooks, so look for more variations in the future.

Use Jupyter Notebooks with GIS
How to get Jupyter Notebooks

52°North and Esri

Esri is proud to be a partner of 52°North. An international open-science network, 52°North unites partners from research, industry, and public administration, focusing on geoinformatics research and innovation. Recent collaborations have focused on interoperable processing of sensor data and the advancement of spatial data infrastructures.

Visit 52 North
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Reproducibility and Replicability

Esri is actively developing workflows to enhance reproducibility (where results can be continually reproduced using the same data and methods) and replicability (a higher level of scientific rigor where results can be reproduced using different samples of data and different software). We are involved in several open science initiatives along these lines and are a signatory to the Coalition for Publishing Data in the Earth and Space Sciences (COPDESS) Commitment to Enabling FAIR (Findable, Accessible, Interoperable, Reusable) Data in the Earth, Space, and Environmental Sciences.

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Our collaborators in open science


Special product licenses for scientific organizations