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@@ -42,7 +42,7 @@ The conversation also touched on expanding the standard thoughtfully. There were
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Though Data Package v2 has been [officially released for months](https://frictionlessdata.io/blog/2024/06/26/datapackage-v2-release/#so-what-is-new-in-version-2) now, much of the supporting software has yet to catch up. This underlines the urgency of deciding what parts of the ecosystem should be actively maintained and where to scale back. Phil Schumm advocated for maintaining one core library that is “very well thought through and well maintained,” which other libraries could then build upon —an approach mirrored by [Camtrap DP’s R library](https://inbo.github.io/camtrapdp/), which focuses tightly on reading, converting, validating, and writing.
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Pierre had prepared some clustering of the features of the Python library, an excellent starting point to discuss the scope reduction. You’ll find Pierre’s clustering in [this GitHub discussion](https://github.com/frictionlessdata/frictionless-py/discussions/1723#discussioncomment-12653204)
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Pierre had prepared some clustering of the features of the Python library, an excellent starting point to discuss the scope reduction. You’ll find Pierre’s clustering in [this GitHub discussion](https://github.com/frictionlessdata/frictionless-py/discussions/1723#discussioncomment-12653204).
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The conversation then shifted toward **adoption and outreach**. The truth is, the more Frictionless is adopted the more it can rely on people to maintain things (e.g. [GBIF](https://www.gbif.org/) or [ROpenSci](https://ropensci.org/)) **How do we better communicate the value of Frictionless and its philosophy?** Steve Diggs challenged the group to think about who needs Data Package but doesn’t know it yet. There’s still a lot of self-imposed “friction” in the world of data sharing, and Frictionless offers a powerful antidote to that. From concerns about political shifts in data policy to data rescue scenarios during natural disasters, Frictionless was positioned as a way to preserve and democratize access to data.
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