‘Open Source Software Funding Report’ Finds 86% of Corporate Contributions are Employees’ Time – Slashdot

The Linux Foundation partnered with GitHub and Harvard’s Laboratory for Innovation Science to research organization-driven investments in open source software — the how and the why — surveying over 500 organizations around the world.

So what are the highlights from the published report?

The median responding organization invests $520,600 (2023 USD) of annual value to OSS.

Responding organizations annually invest $1.7 billion in open source, which can be extrapolated to estimate that approximately $7.7 billion is invested across the entire open source ecosystem annually. 86% of investment is in the form of contribution labor by employees and contractors working for the funding organization, with the remaining 14% being direct financial contributions.
But the ultimate goal of the research was ideas “to improve monitoring and investing in open source” (to “create a more sustainable and impactful open source economy…”)

In this research, we discovered a few key obstacles that make this kind of data capture challenging… [O]rganizations have blind spots when it comes to the specifics of their contributions. Many respondents knew where they contribute, but only a portion of those could answer how many labor hours went into their OSS contributions or the percentage of budget that went to OSS. Second, the decentralized nature of organizational contributions, without explicit policies or centralized groups that encourage and organize this effort, make reporting even more challenging…

[W]e recommend that policies and practices are put in place to encourage employees to self-report their contributions, and do so using their employee email addresses to leave fingerprints on their work. We also suggest that open source work is consolidated under a single banner, such as an Open Source Program Office (OSPO). Finally, we suggest incorporating contribution monitoring into the organization’s pipeline. We developed a toolkit to help improve data capture and monitoring.