Software Heritage Citation Feature: Addressing researcher needs
Software Heritage now offers built-in citation support, a significant step in acknowledging software as a legitimate research output.
The power of many: Collaborating for greater impact
About 30 Software Heritage ambassadors and superusers teamed up at our 2025 community workshop to design these rad retro-computing style posters.
The vital role of software in Open Science
A recent talk by Roberto Di Cosmo, Software Heritage co-founder, underscored the role of software preservation for the future of open science. Speaking at the University of São Paulo, Di Cosmo highlighted Software Heritage as the essential infrastructure for this very task, providing universal access to the source code that powers research.
Inside Dagstuhl Publishing’s drive to preserve code
More publishers are valuing research code. Dagstuhl now uses Software Heritage for archival, referencing and metadata. Learn how this improves citation and accessibility.
What’s next in research for Software Heritage
Stefano Zacchiroli discusses security, reproducibility, and data analysis in his new Chief Scientific Officer role.
The OSPO-RADAR Project: Making research software easier to find and use
OSPO-RADAR aims to solve isolated research code issues by building a platform to map, reveal, and make code accessible.
Why software development history is worth preserving
The creation of information is only half the equation; its preservation is equally vital. This applies to source code too, says Software Heritage Ambassador Alex Khrustalev.
Why software preservation may be an extreme sport
That’s the take of Florent Zara, Eclipse Foundation open-source expert, who joins Software Heritage as an ambassador.
Takeaways from the Software Heritage Symposium 2025
Learn more about key discussions on topics from cybersecurity challenges to the future of AI and open science.
Paving the way for open and responsible artificial intelligence with Software Heritage
CodeCommons aims to provide a centralized repository of essential resources, including code, documentation, and metadata, to facilitate the creation of smaller, more effective datasets for the next generation of AI tools.