1. deepcarbon.net Xiaogang (Marshall) Ma, Yu Chen, Han Wang, John Erickson, Patrick West, Peter Fox Tetherless World Constellation Rensselaer Polytechnic Institute Deep Carbon Virtual Observatory: Leveraging Data Science to Facilitate Earth Science Research

2. Outline Deep Carbon Virtual Observatory Data Management, Publication and Citation Provenance of Research Era of Science 2.0 2

3. Deep Carbon Virtual Observatory A vision of the DCVO: –A conceptual model of the interplay between data, people, publication, instruments, models, organizations, etc. –Identify, annotate and link all key entities, agents and activities –A repository for datasets and associated metadata –Unique and powerful data and metadata visualization for dissemination of information –Collaboration tools for scientific efforts –An integrated portal for diverse content and applications 3 (Fox et al., 2014)

4. Data Management 4 data work Image courtesy Randy Glasbergen

5. Data Management Plan DCO Open Access and Data Policies –https://deepcarbon.net/dco/dco-open-access-and-data-policieshttps://deepcarbon.net/dco/dco-open-access-and-data-policies Data Management Plan –A formal document that outlines what you will do with your data during and after you complete your research Resources/Tools help create DMPs: –DCC Data Management Plans: http://www.dcc.ac.uk/resources/data-management-plans http://www.dcc.ac.uk/resources/data-management-plans –NSF Data Management Plan Requirements: http://www.nsf.gov/eng/general/dmp.jsp http://www.nsf.gov/eng/general/dmp.jsp –DMPTool: https://dmptool.orghttps://dmptool.org –DCC DMPOnline: https://dmponline.dcc.ac.ukhttps://dmponline.dcc.ac.uk 5

6. Data Publication Data as first class products of research –e.g., NSF bio-sketches can include data publications 6 Image from j4h.net http://www.nsf.gov/pubs/2013/nsf13004/nsf13004.jsp (NSF, 2012)

7. 7 “All data necessary to understand, assess, and extend the conclusions of the manuscript must be available to any reader of Science. ” “…authors are required to make materials, data and associated protocols promptly available to readers without undue qualifications.” “…authors must make materials, data, and associated protocols available to readers.” “…it is a condition of publication that authors make available the data and research materials supporting the results in the article.” “…require authors to make all data underlying the findings described in their manuscript fully available without restriction…” “Earth and space science data should be widely accessible in multiple formats and long ‐ term preservation of data is an integral responsibility of scientists and sponsoring institutions.” “…support the principle that research data should be made freely available to all researchers…” “…recommends depositing data that correspond to journal articles in reliable data repositories…”

8. Ways of data publication –Data as supplemental material of a paper –Standalone data –Data paper: data + descriptive ‘data paper’ 8 (Strasser, 2014) Examples: Standalone data journals: Nature Scientific Data, Geoscience Data Journal, Ecological Archives, Data in Brief Journals that publish data papers: Earth and Space Science, GigaScience, F1000 Research, Internet Archaeology

9. 9 What does a DCO data publication look like?

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11. 11 Image from Internet; Anonymous author

12. Data Citation Data Citation Index –Indexes the world's leading data repositories –Connect datasets to related refereed literature indexed in the Web of Science™ –Efficient access to data across subjects and regions 12

13. Data interoperability 13 Ma et al., Nature Geosciecne (2011) Interoperable: “Data should be discoverable, accessible, decodable, understandable and usable, and data sharing should be legal and ethical for all participants.” Original image from: http://ehna.org

14. Provenance of research Provenance documentation –Linking a range of observations and model outputs, research activities, people and organizations involved in the production of scientific findings with the supporting data sets and methods used to generate them 14 Provenance enables the traceability, reproducibility, explanation, verification, and validation of scientific findings. Image from nature.com Ma et al., Nature Climate Change (2014)

15. We made extension to the IPython Notebook to enable automatic provenance capture during a scientific workflow IPython Notebook: A web-based interactive computational environment (Di Stefano et al., 2014)

16. Era of Science 2.0 Science 2.0 –New practices of scientists who post raw experimental results, nascent theories, claims of discovery and draft papers on the Web for others to see and comment on –Social scholarship: Reconsidering scholarly practices in the age of social media 16 (Waldrop, 2008; Greenhow and Gleason, 2014) Practice

17. altmetric.com –already a product used by NPG, Springer, PNAS, Wiley, etc. 17 http://www.nature.com/nature/journal/v497/n7449/nature12127/metrics This Altmetric score means that the article is: in the 99 percentile (ranked 184th) of the 81,261 tracked articles of a similar age in all journals in the 92 percentile (ranked 69th) of the 983 tracked articles of a similar age in Nature

18. Summary Data Science is making DCO a more open, more collaborative, and more productive community eScience: the digital or electronic facilitation of science Are you ready?  http://deepcarbon.net/joinhttp://deepcarbon.net/join 18 Image courtesy BGS © NERC

19. 19 max7@rpi.edu Thank you!