GODAN is an acronym for Global Open Data for Agriculture and Nutrition, a "rapidly growing network of over 1000 global innovators and change makers across national governments, non-governmental organisations, and international and private sector organisations".

They position themselves as combining open data advocacy and consultancy with innovative products and solutions, to improve food security and improve the lives and livelihoods of farming communities across the globe.

The briefing Data standards: how to increase their use in data aiming for impact contains lessons for standards developers, data publishers, and users that may be relevant to the #Collabriculture project.

From the webpage where the briefing is introduced, and is available for download as a PDF:

This [resource] is a 4-page briefing which summarises GODAN Action's approach to the focal area of data standards, at the halfway point of the project.

The briefing introduces the work, details the approach taken, and then offers lessons for standards developers, data publishers and data users.

The briefing concludes by discussing implications of GODAN Action's work on data standards for the sector.

From the Introduction:

One of the three focal areas for GODAN Action is data standards. The idea is to enable producers and users of agri-food data to work more effectively by helping them to adopt more coherent, more inter-linked and agreed-upon standards, and deliver services that facilitate their use.

The work of the focal area to date has been to map existing agri-food data standards, conduct a gap analysis and make recommendations for improvements. To make this a more manageable task, we have narrowed our focus to look at particular use cases, with the first one being weather data.

The underlying assumption in this work is that such improvements increase the usability of data standards and therefore their actual use in datasets, thus enhancing the ability to create links between datasets, aggregate them together, compare them and rapidly develop new tools and services using data.