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Crowdsourcing is one technique to gain more insight from existing biological data. Putting the diverse eyes and hands of the general public to the purpose of bioinformatics is not new \cite{Good_Su_2013} \cite{ld_Allison_Bonneau_et_al__2012}; examples include protein \cite{lane2012milliseconds} and RNA folding [http://eterna.cmu.edu/web/], and both paid (Ingenuity® Systems, www.ingenuity.com) and unpaid \cite{hingamp2008metagenome} curation of literature.   Rather than approach a problem strictly as professionals, we developed an Open Source DIY workshop where scientists and the public worked together to tackle a synthetic biology project resulting in a publishable outcome. The problem to be solved would need data from completely open sources and not require difficult analysis. An exploratory A modest  goal was set to do a survey of plant translation initiation motifs, aiming to create an open source parts list for controlling translation in metabolic engineering and synthetic biology. Plants offer many advantages as systems to do fine-tuned biological engineering [e.g., modification to enhance production of economically valuable terpinoid \cite{moses2013bioengineering}, modification of lignin biosynthesis to expedite biofuel synthesis \cite{li2008improvement}]. There is a paucity of published information, however, on how to control sets of genes working in concert. Use of small sequence motifs as ribosome binding site parts for synthetic biology has been proposed in bacteria [ \cite{Salis_Mirsky_Voigt_2009} see also: http://parts.igem.org/Ribosome_Binding_Sites/Prokaryotic/Constitutive/Anderson.] and similar parts have been produced for yeast [parts.igem.org]. Estimates for RBS parts in prokaryotic systems show that the translation level of a gene can be shifted by greater than an order of magnitude, indicating their potential utility in synthetic biology projects. Generating an estimate of the regulatory power of plant translation initiation motifs was thus seen as a useful goal for our project.