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Interdisciplinary Models: Difference between revisions
Interdisciplinary Models (view source)
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Similar challenges in enterprise: what data do we have within an org, and who is using it? https://data.world/ vs more public initiatives like https://coleridgeinitiative.org/ | Similar challenges in enterprise: what data do we have within an org, and who is using it? https://data.world/ vs more public initiatives like https://coleridgeinitiative.org/ | ||
Insight around longevity -- is it the infrastructure that lives on? the vision? or the relationships? Unique value of EC framework initiatives (e.g., Horizon 2020) that are as much political projects as they are scientific ones. Those connections between people and labs persists. | |||
Discovering and forming communities of practice around datasets -- how does one person's use leave traces that others can discover? How do we align the challenges across time (ie my experience when I was grappling with a specific column in a dataset, aligned with someone doing just that a year later). | Discovering and forming communities of practice around datasets -- how does one person's use leave traces that others can discover? How do we align the challenges across time (ie my experience when I was grappling with a specific column in a dataset, aligned with someone doing just that a year later). | ||
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Academic model of competition rubs against open science --- both in sunk time and possessiveness of data | Academic model of competition rubs against open science --- both in sunk time and possessiveness of data | ||
Open notebook science | Disciplines have different reductionist traditions, what is the well-defined focus of study. Is this the substrate that enables cross disciplinary data engagement? | ||
Where do people gather to have these conversations? What are the communities of practice, publication venues to share knowledge about working across the disciplines? Where do these happen within disciplines and where is the meta-science narrative developing? | |||
Open notebook science -- show the world as you are doing it, make connections on the day of publication. Very well defined strategy with templates. http://opensourcemalaria.org/ | |||
Bold vision of what is possible, e.g. automated recombination & discovery: https://materialsproject.org, https://materialsproject.github.io/fireworks/ | |||
Domain differences between contributing individual data points vs entire datasets | Domain differences between contributing individual data points vs entire datasets | ||