Daniel Himmelstein
Head of Data Integration at Related Sciences. Digital craftsman of the biodata revolution.
Moore Lab at Dartmouth
August 2011
Jesse's Tavern
Hanover, NH
http://www.greenelab.com/
©
From How Copyright Keeps Works Disappeared. https://doi.org/b5gf
Dissapearing decades: Amazon titles by decade
McKiernan et al. (2016) eLife
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March 26, 2015: my paper on Heterogeneous Network Edge Prediction is accepted to PLOS Computational Biology.
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68 days
Time from submission to acceptance for 3,330,333 articles since 1965
Source: ASAPbio & PrePubMed
From git.io/vSGK4
Also see opendefinition.org
Visualizing Hetionet v1.0
Nice of you to share this big network with everyone; however, I think you need to take care not to get yourself into legal trouble here. …
I am not trying to cause trouble here — just the contrary. When making a meta-resource, licenses and copyright law are not something you can afford to ignore. I regularly leave out certain data sources from my resources for legal reasons.
One network to rule them all
We have completed an initial version of our network. …
Network existence (SHA256 checksum for graph.json.gz) is proven in Bitcoin block 369,898.
Recommendation:
release data under an open license
Also see opensource.guide/legal
When you make a creative work (which includes code), the work is under exclusive copyright by default. Unless you include a license that specifies otherwise, nobody else can use, copy, distribute, or modify your work without being at risk of take-downs, shake-downs, or litigation. Once the work has other contributors (each a copyright holder), “nobody” starts including you.
Source: choosealicense.com/no-license
Source: doi.org/b5hp
https://oadoi.org/10.1038/nbt.3780
Resource Sharing Plan
All outputs from this project — including code, data, figures, documentation, and manuscripts — will be made publicly available under an open license within two years of the end of the award. Code will be released under a BSD 3-Clause License, a permissive open source software license. Data will be released under the Creative Commons Public Domain Dedication (CC0, version 1.0 or later). Figures, documentation, and writing will be released under a Creative Commons Attribution License (version 4.0 or later).
In addition to the aforementioned licensing for project outputs, creators of specific project content may release any such content as CC0, at their individual discretion. The principal investigator of this project may release any project content as CC0, at his or her individual discretion.
In instances where upstream inputs are used that restrict the licensing of project outputs beyond the aforementioned guidelines, the most permissive licensing option possible will be applied. However, no inputs will be incorporated that prevent original software from being released under an Open Source Initiative (opensource.org) approved license or prevent original non-code content from being released under an Open Definition (opendefinition.org) conformant license.
Source code will be made available on a publicly accessible version control system, such as GitHub. Prior to submission of project manuscripts to a journal, all related outputs will be made publicly available under the aforementioned licensing guidelines and deposited to persistent archives. Currently, the group uses Zenodo for code repositories, figshare for datasets, and bioRxiv for preprints, however the group may transition to alternatives if other options become more suitable during the course of the grant.
Source git.io/vS6Vs
See also git.io/vS6os
Thanks!
Questions?
By Daniel Himmelstein
Presentation to the Moore Lab at Penn (epistasis.org) on April 10, 2017 at 12:00 pm in Richards room 309. This presentation is released under a CC BY 4.0 License.
Head of Data Integration at Related Sciences. Digital craftsman of the biodata revolution.