THE NEED AND DRIVE FOR HIGH QUALITY
DATA PUBLICATION
COASP, Paris, September 2014
Iain Hrynaszkiewicz
Head of Data and HSS Publishing, Open Research
Nature Publishing Group & Palgrave Macmillan
iain.hrynaszkiewicz@nature.com
@iainh_z
Publishers and data/reproducibility
• Policies on access (to data, code, reagents etc)
•
Supporting funder & community needs
• Format and amount of content
•
Methodological details, supp info, data integration and links to
repositories
• Licensing for reuse
• Incentives to share
•
Data citations
•
Data journals and articles
• Quality assurance through peer review
2
Data/reproducibility and NPG
Some important events
1996: Bermuda Principles – prepublication sharing
1998: Structural data accession codes (Nature & Science)
2002: MIAME-compliant microarray data deposition
2007: Removal of limitations on Methods sections online
2009: Ioannidis et al. Nat Gen 41, 2, 149 (2009)
.
3
2013
Data/reproducibility and NPG
Some important recent events
2013: Reproducibility checklist, source data from figures
2014: Endorsing the Joint Declaration of Data Citation
Principles
2014: Launch of Scientific Data
5
Role of data journals/articles
6
•
Credit
•
Unpublished data
•
Peer review focus
•
Value of data vs. analysis
•
Discoverability
•
Reusability
•
Narrative/context
•
“Intelligently open data”
Data, data (journals) everywhere?
7
Scientific Data 2011 Market Research
Scope of survey
• How much data researchers produce, in what format
and what they do with it
• Perceived availability of public repositories
• Perceptions of the Scientific Data concept
• Level/nature of data journal peer review
Respondent characteristics
• 387 respondents (329 active researchers)
• Physics (24%), Earth and environmental science (21%),
Biology (20%) Chemistry (19%) Others (16%)
8
Scientific Data 2011 Market Research
Key survey data
• 60% share their data with their colleagues
• 50% look at other researchers’ datasets at least once a
month
• 45% unaware of a repository for some of their data
• 90% reacted positively to the concept of Scientific Data
• 80% believed Scientific Data would increase data
deposition rates
9
Scientific Data 2011 Market Research
Key survey data – what do researchers want from a
data publication?
• 96% - increased visibility and discovery
• 95% - increased usability of their research data
• 93% - credit mechanism for deposit of data
• 80% - peer review of content/datasets
10
Get Credit for Sharing Your Data
Publications will be indexed and citeable.
Open-access
Creative Commons licenses (CC-BY/CC-BY-NC) for the main Data
Descriptor. Each publication supported by CCO metadata.
Focused on Data Reuse
All the information others need to reuse the data; no
interpretative analysis, or hypothesis testing
Peer-reviewed
Rigorous peer-review focused on technical data quality and reuse
value
Promoting Community Data Repositories
Not a new data repository; data stored in community data
repositories
Scientific Data
Scope
An open access, peer-reviewed publication for descriptions
of scientifically valuable datasets. Our primary article-type,
the Data Descriptor, is designed to make your data more
discoverable, interpretable and reusable.
Editorial team
Managing Editor (Andrew Hufton)
Editorial Curator (Victoria Newman)
Honorary Academic Editor (Susanna Sansone, Oxford)
Advisory Panel and Editorial Board
Open access article processing charge
$1,000 USD / £650 GBP / €750 for each accepted article
12
The ‘Data Descriptor’ article
Detailed descriptions of the methods and technical analyses supporting
the quality of the measurements. Does not contain tests of new scientific
hypotheses
Sections:
• Title
• Abstract
• Background & Summary
• Methods
• Technical Validation
• Data Records
• Usage Notes
• Figures & Tables
• References
• Data Citations
Peer review at Scientific Data
Focuses on:
• Completeness (can others reproduce?)
• Consistency (were community standards followed?)
• Integrity (are data in the best repository?)
• Experimental rigour and technical quality
(were the methods sound?)
Does not focus on:
• Perceived impact/importance
• Size/complexity of data
The ‘Data Descriptor’ article
Article or
narrative
component
(PDF and HTML)
Experimental metadata
or
structured component
(in-house curated,
machine-readable
formats)
Zehr et al. Scientific Data 1,
Article number: 140019
doi:10.1038/sdata.2014.19
17
Stem Cells
• Associated Nature
Article
• Data at figshare &
NCBI GEO
• Integrated figshare
data viewer
Neuroscience
•
•
•
•
New Dataset
Data in OpenfMRI
Source code in GitHub
Big Data
Code in GitHub
The right licence
Data Descriptor article: Licensed under
one of two Creative Commons licenses, by
author choice:
Metadata: released under the CC0 waiver
to maximize reuse and aid data miners
Data: depends on public repositories. Partner
repositories figshare and Dryad both use the
CC0 waiver.
Thank you
For more information
please contact
IAIN HRYNASZKIEWICZ
Head of Data and HSS Publishing,
Open Research
M: +44 (0)7814 290576
T: +44 (0)207 0146753
E: iain.hrynaszkiewicz@nature.com