From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Citable Data

From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Citable Data

doi:10.5524/100008

doi:10.5524/100001

Scott Edmunds, PhDAlexandra Basford, PhD

The “big-data” era

Flickr cc: opensourcewaySource: E Lander/Broad

Traditional Form of Data-Release

Data Production

Data Analysis

Peer Review

PublicationPublication

Months/Years

Incentives/creditCredit where credit is overdue:“One option would be to provide researchers who release data to public repositories with a means of accreditation.”“An ability to search the literature for all online papers that used a particular data set would enable appropriate attribution for those who share. “Nature Biotechnology 27, 579 (2009)

Prepublication data sharing (Toronto International Data Release Workshop)“Data producers benefit from creating a citable reference, as it can later be used to reflect impact of the data sets.” Nature 461, 168-170 (2009)

A new open-access open-data journal and database

www.gigasciencejournal.comPublished by BGI in

partnership with BioMed Central

… “big and sharable”

Innovative article publishing and data hosting

Launching today…

Why DOI®s?

– Clear method for data tracking and data citation, allowing: • Increased the searchability (and use) of data • Credit for data production, making it clear who produced the data

and when• The ability to track and receive feedback on data usage• Credit to original authors for their data’s use • A data citation metric potentially rivaling and complementary to

the impact factor• The potential to publish papers relating to a dataset, while making

the data available and receiving credit for it earlier

To maximize its utility to the research community and aid those  fighting the current epidemic, genomic data is released here into the public domain under a CC0 license. Until the publication of research papers on the assembly and whole-genome analysis of this isolate we would ask you to cite this dataset as:

Li, D; Xi, F; Zhao, M; Liang, Y; Chen, W; Cao, S; Xu, R; Wang, G; Wang, J; Zhang, Z; Li, Y; Cui, Y; Chang, C; Cui, C; Luo, Y; Qin, J; Li, S; Li, J; Peng, Y; Pu, F; Sun, Y; Chen,Y; Zong, Y; Ma, X; Yang, X; Cen, Z; Zhao, X; Chen, F; Yin, X; Song,Y ; Rohde, H; Li, Y; Wang, J; Wang, J and the Escherichia coli O104:H4 TY-2482 isolate genome sequencing consortium (2011) Genomic data from Escherichia coli O104:H4 isolate TY-2482. BGI Shenzhen. doi:10.5524/100001 http://dx.doi.org/10.5524/100001

Our first DOI®:

To the extent possible under law, BGI Shenzhen has waived all copyright and related or neighboring rights to Genomic Data from the 2011 E. coli outbreak. This work is published from: China.

G10K Genomes Get DOI®s

doi:10.5524/100004

About The Journal Open access, online journal optimized for the publication of all types of

biological studies that use or create large-scale data sets. New journal format that combines standard manuscript publication

with an extensive database developed to host all associated data. Evolving data repository beginning with 'omic’-type data and growing to

support other biological large-scale data, such as imaging data, cohort data, metadata, and others. Editorial interaction with the different biological communities to

determine the best means of hosting and accessing their type of data. Integrated tools to promote more widespread access, viewing, and

analysis of the stored data. BGI Cloud Computing resources for handling and analyzing large-scale

data. All Data given a DOI to allow ease of finding and citing datasets, as well

as for citation tracking.

www.gigasciencejournal.com

Questions?

Editor-in-Chief: Laurie Goodman, PhDEditor: Scott Edmunds, PhDAssistant Editor: Alexandra Basford, PhD

Launching today…

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Contact: [email protected]