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Jeremy Delahanty: Difference between revisions
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(Created page with "{{Participant |Timezone=America/Los Angeles (GMT−08:00/GMT−07:00) |Affiliation=Salk Institute }} {{Workshop Submission |Interest=The complexity of science in scope, scale, and depth is ever increasing. Unfortunately, many of our tools (at least in neuroscience) fail to enable communally built infrastructure and knowledge. Tools that do exist rarely interact with one another in ways that are easy to adopt and oftentimes labs that would benefit greatly from adopting sy...") |
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I have also tried introducing Git, data standards like neurodata without borders, and experimental frameworks like Autopilot for distributed behavior experiments but was often met with either apathy or, more commonly, a reluctance to adopt different practices because it would require investing a fair amount of extra time into something that is not sufficiently incentivized or supported. Many best practices when it comes to scientific infrastructure are currently somewhat hard to adopt and therefore require some additional effort from people who are often overworked, underpaid, and spread too thin. Further, not everyone finds this that interesting and are therefore even less likely to engage in discussions of communal tool building and knowledge management. | I have also tried introducing Git, data standards like neurodata without borders, and experimental frameworks like Autopilot for distributed behavior experiments but was often met with either apathy or, more commonly, a reluctance to adopt different practices because it would require investing a fair amount of extra time into something that is not sufficiently incentivized or supported. Many best practices when it comes to scientific infrastructure are currently somewhat hard to adopt and therefore require some additional effort from people who are often overworked, underpaid, and spread too thin. Further, not everyone finds this that interesting and are therefore even less likely to engage in discussions of communal tool building and knowledge management. | ||
|Organizer Topics=Research Data, Social Systems, Reproducibility, Incentive Systems | |||
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