Open for Feedback

We just submitted this proposal in response to an NIH UH2 funding opportunity announcement for Advancing Biomedical Science Using Crowdsourcing and Interactive Digital Media. We love to get general feedback that we could use to improve upon the proposal if/when we need to resubmit or even if accepted. In particular, we are interested in resources and technologies we could use in this work, as well as collaborators who are independently working in areas of science game design and platform development.

What a fantastic proposal! The contribution is immense — unlocking decades of knowledge residing in raster images. The proposal combines many state of the art tools and methodologies. It builds off of important open science resources, such as PubMed Central and wikis. Not only is the idea exceptional, the technical details of the implementation appear sound and current. The team has proven their technical expertise through their creation of WikiPathways.

As a scientist who relies on open data as the input to my research [1], I can attest to the importance of literature-derived informatics resources. The compound-target databases such as BindingDB, ChEMBL, PubChem Assay, and DrugBank have been exceptionally helpful. MEDLINE topic annotations and curated protein interaction databases have also been crucial. I wholeheartedly agree that pathway images are a fruitful information hive in need of a skilled investigator.

This is great. I am currently trying to integrate Pathway data into my analysis. So I will try to help as much as I can.

Thanks! You can edit and add pathways of interest today at WikiPathways.org. This grant proposal was rejected, but was for additional mechanisms of curation. The basics are already in place and ready for your participation.