TY - JOUR UR - https://doi.org/10.7287/peerj.preprints.3282v2 DO - 10.7287/peerj.preprints.3282v2 TI - Idea farming: it is a good idea to have bad ideas in science AU - Lortie,Christopher J DA - 2017/10/24 PY - 2017 KW - open science KW - ideas KW - idea provenance KW - ecology KW - replication science KW - scientific outcomes KW - workflows AB - There are few truly bad ideas in authentic science. We need to embrace science as a process- driven human endeavour to better understand the world around us. Products are important, but through better transparency, we can leverage ideas, good and bad, ours and others, to do better science. In a brief analysis here inspired by a recent discussion of the topic and previous introspections by other ecologists, it is proposed that whilst it is a good idea to track ideas and all the processes that generate outcomes such as publications, there is inherent merit in all scientific ideas. That said, organizing and framing our ideas into the networks that we already use to examine hypotheses and questions in science is a window into our workflows including ideation, implementation, data analyses, and how we can better map ideas into open science outcomes. Formalizing and describing the linkages between ideas, data, and projects we produce as scientists will enhance and diversify the value of the work we do individually and collectively. VL - 5 SP - e3282v2 T2 - PeerJ Preprints JO - PeerJ Preprints J2 - PeerJ Preprints SN - 2167-9843 ER -