# Frictionless Adoption
Projects and collaborations that use Frictionless.
The Frictionless Data project provides software and standards to work with data. On this page we share projects and collaborations that use Frictionless, including collaborations with the Frictionless Team and also community projects that use our toolkit.
If you use Frictionless in your work and want to share it with community, please write to the Frictionless Team using any available contact provided on this site and we will add your project to this page.
# Pilot Collaborations
We work closely with data researchers and institutions to help them integrate Frictionless into their workflow. Click on individual Pilots to learn more.
A Pilot with the Biological and Chemical Oceanography Data Management Office (BCO-DMO).
A pilot with the Public Utility Data Liberation project, PUDL, aims to make US energy data easier to use.
A pilot to add Frictionless Data Validation within Dryad, a curated resource that makes research data discoverable, freely reusable, and citable.
Data Readiness Group
A pilot with Dr. Philippe Rocca-Serra at Oxford's Data Readiness Group to remove the friction in reported scientific experimental results by applying the Data Package specifications.
Data Management for TEDDINET
A pilot to use Frictionless Data approaches to address data legacy issues facing the TEDDINET project, a research network addressing the challenges of transforming energy demand in our buildings.
Western Pennsylvania Regional Data Center
A pilot to showcase an implementation that expounds on quality and description of datasets in CKAN-based open data portals with the Western Pennsylvania Regional Data Center - a part of The University of Pittsburgh Center for Urban and Social Research.
UK Data Service
A pilot to use Frictionless Data software to assess and report on data quality and make a case for generating visualizations with ensuing data and metadata with UK data.
A pilot to explore the use of goodtables library to validate all scientific research datasets hosted by eLife and make a case for open data reuse in the field of Life and BioMedical sciences.
University of Cambridge - Retinal Mosaics
A pilot to trial Frictionless software for packaging and reading data to support computational techniques to investigate development of the nervous system.
Pacific Northwest National Laboratory - Active Data Biology
A pilot to explore the use of Frictionless Data's specifications and software to generate schemas for tabular data and validate metadata stored as part of a biological application on GitHub.
Causa Natura - Pescando Datos
A pilot to explore the use of data validation software in the Causa Natura project to improve quality of data to support fisher communities and advocacy groups.
# Tool Fund Grantee Projects
As part of the Reproducible Research project, we awarded several projects with small grants to build new tooling for open research based on the Frictionless codebase. Click on individual Tool Fund profiles to learn more.
Data managers and researchers collaborate to write packages and tabular schemas (by Carles Pina Estany).
Frictionless Data Package for InterMine
Add data package support to InterMine, an open-source biological data warehouse (by Nikhil Vats).
Frictionless Data for Wheat
Added Frictionless support to the Designing Future Wheat project data portal which houses large-scale wheat datasets (by Simon Tyrrell and Xingdong Bian).
Metrics in Context
Developing an open standard to describe metadata of scholarly metrics by using Frictionless specifications (by Asura Enkhbayar).
Analysis of spontaneous activity patterns in developing neural circuits using Frictionless Data tools
Evaluate the use of Frictionless Data as a common format for the analysis of neuronal spontaneous activity recordings in comparison to HDF5 (by Stephen Eglen and Alexander Shtyrov).
Neuroscience Experiments System Tool Fund
Adapt the existing export component of RIDC NeuroMat's Neuroscience Experiments System to conform to the Frictionless Data specifications (by João Alexandre Peschanski, Cassiano dos Santos and Carlos Eduardo Ribas).
A tool to convert DarwinCore Archives into Frictionless Data Packages (by André Heughebaert).
Frictionless Google Sheets Tool (WIP)
Prototype a Data Package import/export add-on to Google Sheets (by Stephan Max).
Frictionless Open Referral
Implement datapackage bundling of Open Referral CSV files, which contain human health and social services data (by Shelby Switzer and Greg Bloom).
Software Libraries Grantees
In 2017, 6 grantees were awared funds to translate the Frictionless Python libraries into other software languages. The awardees and languages were: Matt Thompson - Clojure; Ori Hoch - PHP; Daniel Fireman - Go; Georges Labrèche - Java; Oleg Lavrovsky - Julie; and Open Knowledge Greece - R. You can read more about them each on the people page.
# Community Projects
The Frictionless Data project develops open source standards and software that can be re-used by anyone. Here is a list of projects that our community has created on top of Frictionless. If you would like your project to be featured here, let us know!
Data Curator is a simple desktop data editor to help describe, validate and share usable open data.
HuBMAP is creating an open, global atlas of the human body at the cellular level.
Etalab, a department of the French interministerial digital service, launched schema.data.gouv.fr
Nimble Learn - datapackage-m
A set of functions written in Power Query M for working with Tabular Data Packages in Power BI Desktop and Power Query for Excel.
Nimble Learn - Datapackage-connector
Power BI Custom Connector that loads one or more tables from Tabular Data Packages into Power BI.
Zegami is using Frictionless Data specifications for data management and syntactic analysis on their visual data analysis platform.
Center for Data Science and Public Policy, Workforce Data Initiative
Supporting state and local workforce boards in managing and publishing data.
Cell Migration Standardization Organization
Using Frictionless Data specs to package cell migration data and load it into Pandas for data analysis and creation of visualizations.
Collections as Data Facets - Carnegie Museum of Art Collection Data
Use of Frictionless Data specifications in the release of Carnegie Museum of Arts’ Collection Data for public access & creative use.
OpenML is an online platform and service for machine learning, whose goal is to make ML and data analysis simple.
The Data Retriever
Data Retriever uses Frictionless Data specifications to generate and package metadata for publicly available data.
Tesera uses Frictionless Data specifications to package data in readiness for use in different systems and components.
data.world uses Frictionless Data specifications to generate schema and metadata related to an uploaded dataset and containerize all three in a Tabular Data Package.
John Snow Labs
John Snow Labs uses Frictionless Data specifications to avail data to users for analysis.
Open Power System Data
Open Power System Data uses Frictionless Data specifications to avail energy data for analysis and modeling.
Dataship used Frictionless Data specifications as the basis for its easy to execute, edit and share notebooks for data analysis.
# Grant-funded work
# Frictionless Data for Reproducible Research
From September 2018 til December 2021, the Frictionless Data team focused on enhanced dissemination and training activities, and further iterations on our software and specifications via a range of collaborations with research partners. We aimed to use Frictionless tooling to resolve research data workflow issues, create a new wave of open science advocates, and teach about FAIR data management. This pivotal work was funded by the Alfred P. Sloan Foundation and overseen by the Frictionless team at the Open Knowledge Foundation. You can read more details about this grant here (opens new window).
# Pilot Collaborations
Pilots are intensive, hands-on collaborations with researcher teams to resolve their research data management workflow issues with Frictionless Data software and specs. You can read about the Pilot projects on our blog.
# Tool Fund
The Tool Fund is a $5000 grant to develop an open tool for reproducible science or research built using the Frictionless Data codebase. Learn more by reading Tool Fund Blogs or by visiting the Tool Fund site (opens new window).
# Fellows Programme
The Fellows Programme (opens new window) trains early career researchers to become champions of the Frictionless Data tools and approaches in their field. Read more about the Programme, including Fellows biographies and the programme syllabus, on the Fellows website (opens new window)
# Data Institutions - Website Update
In 2021, we partnered with the Open Data Institute (ODI) to improve our existing documentation and add new features on Frictionless Data to create a better user experience for all. Working with a series of feedback sessions from our community members, we created our new documentation portal (opens new window) for the Frictionless Framework and several new tutorials. Read more about this grant here (opens new window).
# Frictionless Field Guide
In 2017, OKF received funding from the Open Data Institute to create a Frictionless Data Field Guide. This guide provided step-by-step instructions for improving data publishing workflows. The field guide introduced new ways of working informed by the Frictionless Data suite of software that data publishers can use independently, or adapt into existing personal and organisational workflows. You can read more details about this work here (opens new window).
# Data Package Integrations
In 2016, Google funded OKF to work on tool integration for Data Packages as part of our broader work on Frictionless Data to support the open data community. You can read more about this work here (opens new window).
# Data Packages Development
In 2016, OKF received funding from The Alfred P. Sloan Foundation to work on a broad range of activities to enable better research and more effective civic tech through Frictionless Data. The funding targeted standards work, tooling, and infrastructure around “data packages” as well as piloting and outreach activities to support researchers and civic technologists in addressing real problems encountered when working with data. You can read more about this work here (opens new window).