Detailed guidance on working with data and APIs, guidance for institutions to publish proactive publications, open data and information. Using Open Data How to work with data and APIs Information and tips using some of the formats presented in the Open Data Portal
How the Open Knowledge Format can improve data sharing | Google Cloud Blog
Learn how the Open Knowledge Format helps secure data sharing and improves collaboration across teams with standardized documentation.
How the Open Knowledge Format can improve data sharing | Google Cloud Blog
Learn how the Open Knowledge Format helps secure data sharing and improves collaboration across teams with standardized documentation.
How Open Data Is Transforming City Life
Start a business. Manage your power use. Find cheap rents, or avoid crime-ridden neighborhoods. Cities and their citizens worldwide are discovering the power of “open data”—public data and information available from government and other sources that can help solve civic problems and create new business opportunities.
OME Project — open-metadata-exchange documentation
OME enables open educational resources to create, publish, and update their metadata on a peer-to-peer network. By solving authoring, publishing, and discovery issues, this network will provide broad visibility to current islands of OER information.
The Future of Open Source | datagubbe.se
Introduction to Open Science
This course introduces the principles and practices of open science, with an emphasis on reproducible research workflows, transparent reporting, and collaborative scholarship. Students will critically examine reproducibility, explore tools that support openness (such as Git, GitHub, and Quarto), and apply these tools in hands-on assignments and a final open project. Students will also explore how open science practices vary across disciplines, including education, humanities, social sciences, industry and government, and STEM contexts. This course emphasizes applying open science principles to real-world data problems in alignment with the principles of producing reproducible research.
Open North – Building trust in data, for the common good
Open North is a not-for-profit organization dedicated to advancing the common good. Working alongside governments and civic-minded organizations of all sizes, we provide data expertise to enhance decision-making, drive innovation, optimize public and civic services, and address society's most pressing challenges. Our work focuses on building the capacity of organizations to make better decisions about managing their data so that it is useful, actionable, secure, and trustworthy throughout its entire lifecycle.
The Consensus Trap: Dissecting Subjectivity and the “Ground Truth” Illusion in Data Annotation
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.
Out of the box
The open-data revolution has not lived up to expectations. But it is only getting started
The 8 Principles of Open Government Data (OpenGovData.org)
A set of principles of open government data developed by advocates on On December 7-8, 2007. The meeting, held in Sebastopol, California, was designed to develop a more robust understanding of why open government data is essential to democracy
Protocols for Publishers
A series bringing together publishers, developers, and researchers to explore open protocols for a sustainable agentic web.
Building Bridges for Data Science Education
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.
The Application and Its Consequences for Non-Standard Knowledge Work
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.
Doing Data Science on the Shoulders of Giants: The Value of Open Source Software for the Data Science Community · Issue 2.2, Spring 2020
Open source software is ubiquitous throughout data science, and enables the work of nearly every data scientist in some way or another. Open source projects, however, are disproportionately maintained by a small number of individuals, some of whom are institutionally supported, but many of whom do this maintenance on a purely volunteer basis. The health of the data science ecosystem depends on the support of open source projects, on an individual and institutional level.
I've been thinking about the beauty of open data and how the AT Protocol and wider Atmosphere ecosystem has been recapturing that open data environment that once defined the web. It really does feel special. vale.rocks/posts/atproto-ethos #atproto #ATProtocol
The AT Protocol Harkens An Old Web Ethos
vale.rocksThis approach to a data commons could extend to so many typically shared things. For businesses to easily and authoritatively publish things like open hours or product catalogs, discographies, every kind of -ography... creative appmakers could do so much with all that
JB Hutch
Testing an idea that I've had for a while, but I think is even better suited for atproto Internet, meet plts.at
