Learning Registry is a project of the US government that’s focusing on how to make federal learning resources more accessible to educators and the learners alike, so that the public can engage with the materials and reuse them in new, unforeseen ways. At the moment, the project team is seeking input from the public and collecting ideas about the project using a social networking platform, IdeaScale. The suggestions gathered so far can be accessed here. At the moment, the idea of using structured data to help with the search is coming across quite strongly – whether it’s a microformat to identify a resource as educational, extraction of metadata, adding information about specific properties (seat time, cost, etc), several ideas are centred around making use of structured data to improve the search experience. As the project brief requires us to deliver both a static and a dynamic collection of research methods materials, we are quite drawn to the ideas expressed in the post on authoritative, generative, and social search as three distinct modes for organizing and finding resources and answers. Following some adaptations. the authoritative approach of applying a top-down, predefined taxonomy might be applicable to the static collection. The dynamic collection might possibly benefit from an amalgamate of generative and social search, since, as the author of the post argues, “a fundamental principle for any search system or knowledge management system is that all three methods should be used and that each one should be used and combined when and where appropriate”. We will certainly explore these and similar ideas quite extensively in the coming months and would welcome any constructive feedback!