Mercè Crosas, Institute for Quantitative Social Science, Harvard University
@mercecrosas
Data sharing is "the release of research data, associated metadata, accompanying documentation, and software code for re-use and analysis in such a manner that they can be discovered on the Web and referred to in a unique and persistent way."
Data Publishing Group, 201 5
(motto of the Royal Society, founded in 1660,
launched first scientific journal in 1665)
Since the Beginning of Modern Science ...
University of California Curation Center, DataPub blog, August 2017
The ability of a researcher to duplicate the results of a prior study
... using the same materials and procedures used by the original investigator. (reproducibility)
... if the same procedures are followed but new data are collected. (replication)
Empirical: data and collection details are made freely available
Computational: code, software, hardware and implementations details are provided
Statistical: details on choice of statistics tests, model parameters are provided
6 (11%) out of 53 landmark cancer biology studies could be reproduced.
39 out of 100 psychology studies could be reproduced.
Washington Post, Joel Achenbach, August 28, 2015
Nature, 2016, "1,500 scientists lift the lid on reproducibility", vol 533, Issue 734
Nature's survey of 1,576 researchers:
703 Biology
106 Chemistry
95 Earth and Environmental
203 Medicine
236 Physics and Engineering
233 Other
"In the Wf4Ever project we propose to improve the quality of science with metrics based on reproducibility and reuse, preserving decomposable thoroughly curated digital artefacts that enhances reproducibility and visibility of the experiment, as well as allowing more accurate mechanisms for credit attribution."
External links in all articles published between 1997 and 2008 in the four main astronomy journals published by the American Astronomical Society.
Castro, Crosas, Garnett, Sheridan, Altman, 2017, Journal of Scholarly Publishing
" We believe that both as a matter of fairness and as a matter of providing an incentive for data sharing, the persons who initially gathered the data should receive appropriate and standardized credit that can be used for academic advancement, for grant applications, and in broader situations."
From 10,555 studies with gene expression microarray data:
Piwowar and Vision (2013), Data reuse and the open data citation advantage. PeerJ 1:e175; DOI 10.7717/peerj.175
An open-source software to share, cite, and find data.
Developed at Harvard's Institute for Quantitative Social Science
2006 (we started)
2017
dataverse.org
Harvard Dataverse Repository
> 70,000 datasets total
> 49,000 datasets uploaded to Harvard Dataverse repository
200 datasets/month
> 340,000 files
4,000 files/month
> 2.5 M downloads
60,000 downloads/month
Datasets Added
Downloads
dataverse.harvard.edu
King, 1995, Replication, Replication
Altman and King, 2007, A Proposed Standard for the Scholarly Citation of Quantitative Data
Altman et al, 2001, A Digital Library for the Dissemination and Replication of Quantitative Social Science
King, 2007, An Introduction to the Dataverse Network as an Infrastructure for Data Sharing
Crosas, Honaker, King, Sweeney, 2015, Automating Open Science for Big Data
Crosas, 2012, The Dataverse Network: an open source application for sharing, discovering, and preserving research data
Altman and Crosas, 2013, The Evolution to Data Citation: from principles to implementation
Crosas, 2013, A Data Sharing Story
2014, Joint Declaration of Data Citation Principles
Pepe et al, 2014, How Do Astronomers Share Data?
Goodman et al, 2014, Ten Simple Rules for the Care and Feeding of Scientific Data
Castro et al, 2015, Achieving Human and Machine Accessibility of Cited Data
Sweeney, Crosas, Bar-Sinai, 2015, Sharing Sensitive Data with Confidence: The DataTags System
Meyer et al. 2016, Data Publication with the Structural Biology Data Grid Supports Live Analysis
Wilkinson et al, 2016, The FAIR Guiding Principles for Scientific Data Management and Stewardship
Bierer, Crosas, Pierce, 2017, Data Authorship as an Incentive to Data Sharing
2017
Data should be ...
Wilkinson et al. , 2016, "The FAIR Guiding Principles for Scientific Data Management and Stewardship" Nature Scientific Data
Data Files
Metadata
Data Licenses, User Agreements
Dataset Versions
Data Citation with Persistent Identifier (DOI)
More than 12,000 downloads!
Pasquier, Lau, Trisovic, Boose, Coutierer, Crosas, Ellison, GIbson, Jones, Seltzer, 2017, If These Data Could Talk, Nature Scientific Data (Data Provenance examples from CERN and Harvard Forest)
Harvard Data Privacy Tools Project: privacytools.seas.harvard.edu
DataTags Project: datatags.org
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@mercecrosas
scholar.harvard.edu/mercecrosas
dataverse.org