Open shervinsafavi opened 6 years ago
Hi @shervinsafavi - great idea! I've added to your doc:
"A useful resource: https://www.datacite.org/ Including a database of data repositories so you can find the right place to share your data: https://www.re3data.org/"
To achieve the main objective there are couple of non-exclusive approaches:
Define data index (d-Index) which can be used:
Assuming that d-index is an effective metric,
We are going to investigate
[*] Data can be raw or processed depends on difficulty in storing and/or processing raw data.
[1] Cameron, B. D. (2005). Trends in the usage of ISI bibliometric data: Uses, abuses, and implications. portal: Libraries and the Academy, 5(1), 105-125.
This might be useful: https://pdfs.semanticscholar.org/d53c/594e80ef35b9b3782d86abfcaf402fb0a2df.pdf
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At a glance
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Description
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How can others contribute?
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We hope with help of many bright minds we can come up with minimally doable plan in direction of achieving the goal of making data sharing a routine. Given the cultural variability across scientific disciplines we thought we start from a narrow filed. We would suggest non-clinical neuroscience as the start point, since I've already initiated a few informal investigations in this field. But if volunteer from other field are ready to take the lead why not going beyond!
Our raw idea is, the main caveats in data sharing are the following:
We need to have both simultaneity to make data sharing a routine.
To reach this minimal step we need to define multiple doable steps which we need to know your opinion on that. During the Do-A-Thon (as well as after!) We invite anyone to help tackle this challenge. You don’t need to be physically in Berlin (if your are, find us in the Goethe-saal right corner at the end) to share your thoughts and ideas! Either share your ideas in the the Do-A-Thon session at OpenCon 2017 or write them in the following Google document: https://goo.gl/rVwX6k
By the way, this a link to brainstorm on a related topic happened during an unconference duing OpenCon 2016: https://goo.gl/3gqZyL
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