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

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Slides from GigaScience press-conference at BGI's Bio-IT APAC meeting on the GigaScience website launch and release of first unpublished animal genomes released from database. Genomes include polar …

Slides from GigaScience press-conference at BGI's Bio-IT APAC meeting on the GigaScience website launch and release of first unpublished animal genomes released from database. Genomes include polar bear, penguin, pigeon and macaque. 6th July 2011

Published in: Technology, Health & Medicine
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  • 1. From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Citable Data<br />doi:10.5524/100001 <br />doi:10.5524/100008 <br />Scott Edmunds, PhD<br />Alexandra Basford, PhD<br />
  • 2. The “big-data” era<br />Source: E Lander/Broad<br />Flickr cc: opensourceway<br />
  • 3. Traditional Form of Data-Release<br />Data Production<br />Data Analysis<br />Peer Review<br />Publication<br />Publication<br />Months/Years<br />
  • 4. Incentives/credit<br />Credit where credit is overdue:<br />“One option would be to provide researchers who release data to public repositories with a means of accreditation.”<br />“An ability to search the literature for all online papers that used a particular data set would enable appropriate attribution for those who share. “<br />Nature Biotechnology 27, 579 (2009) <br />Prepublication data sharing <br />(Toronto International Data Release Workshop)<br />“Data producers benefit from creating a citable reference, as it can later be used to reflect impact of the data sets.”<br />Nature461, 168-170 (2009) <br />
  • 5. Launching today…<br />A new open-access open-data journal and database<br />Innovative article publishing and data hosting<br />… “big and sharable”<br />www.gigasciencejournal.com<br />Published by BGI in <br />partnership with BioMedCentral<br />
  • 6. Why DOI®s?<br />Clear method for data tracking and data citation, allowing: <br />Increased the searchability (and use) of data <br />Credit for data production, making it clear who produced the data and when<br />The ability to track and receive feedback on data usage<br />Credit to original authors for their data’s use <br />A data citation metric potentially rivaling and complementary to the impact factor<br />The potential to publish papers relating to a dataset, while making the data available and receiving credit for it earlier<br />
  • 7. Our first DOI®:<br />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:<br />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<br />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. <br />
  • 8.
  • 9. G10K Genomes Get DOI®s<br />doi:10.5524/100004 <br />
  • 10. About The Journal<br /><ul><li> Open access, online journaloptimized for the publication of all types of biological studies that use or create large-scale data sets.
  • 11. New journal format that combines standard manuscript publication with an extensive database developed to host all associated data.
  • 12. Evolving data repository beginning with &apos;omic’-type data and growing to support other biological large-scale data, such as imaging data, cohort data, metadata, and others.
  • 13. Editorial interaction with the different biological communities to determine the best means of hosting and accessing their type of data.
  • 14. Integrated tools to promote more widespread access, viewing, and analysis of the stored data.
  • 15. BGI Cloud Computing resources for handling and analyzing large-scale data.
  • 16. All Data given a DOI to allow ease of finding and citing datasets, as well as for citation tracking.</li></li></ul><li>Launching today…<br />Questions?<br />Editor-in-Chief: Laurie Goodman, PhD<br /> Editor: Scott Edmunds, PhD<br /> Assistant Editor: Alexandra Basford, PhD<br />Contact: editorial@gigasciencejournal.com<br />Follow GigaScience on Twitter @GigaScience<br />www.gigasciencejournal.com<br />

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