1. Data publishing wakes up the sleeping data -real practices in China Scientific Data
Zhang Lili Computer Network Information Center,CAS Sep 2016

2. Data Sharing Issues Privacy Concerns Data abuse
Teachprivacy.com
Articulate.com
1 data are generated by scientists and funded by the public, so who possess the data? Here’s already good examples in funding agencies that take data management plan into account for research project and in China, we have directly fundings for data production and sharing for a long time in SDB.
2 Another questione is in the ivory tower of science,
Privacy Concerns
Data abuse

3. What is data publishing
Data publishing (also data publication) is the act of releasing data in published form for (re)use by others (Wikipedia, 2016).
Model/classification(Bryan Lawrence et al,2011)
Standalone Data Publication
Data Publication by Proxy
Appendix Data
Journal Driven Data Archival
Overlay Publication

4. Contents
Why publish data
What data to publish
How to publish data

5. Why publish data For data authors/owners For data curators
Incentives
Gain more reputations in scholar community by citation
Enhanced exchanges and more focus as well as more suggestions
Supports
Save energy for long-term data preservation and ongoing services
Get third party authorized the trustfulness of your data
For data curators
Academic recognition
For data readers/users
Trustful data
Data quality control/clear data description
Easy to use/Safe to use
Less need to worry about intellectual property rights dispute by citation
For journals/presses
Cooperation between data journals and traditional journals(joint publishing/reduce falsification)/repositories(professional lifelong data services)

6. What data to publish Items Key points Notes SCOPE Popularity Scarcity
Sustainability
Topics, areas, fields,
methods, skills
FORM
Easy to understand
Friendly access
standards
CONTENTS
capacity
richness
Quality control
VALUE/UTILITY*
Reusable-reliability
Innovation in data process
To support the validation of scientific research
Consistency/stability
Partly unpredictable
OTHERS
Background information in life-long data cycle

7. How to publish data
Li J, Wu C, Zhang L et al. Survey and analysis of scientific data publishing. China Scientific Data 1 (2016), DOI: /csdata

8. Right time to publish data
Published research papers with datasets available
Need help from third party for ongoing maintenances of existing datasets
Existing datasets that tend to sleep

9. About China Scientific Data
Hosted by Chinese Academy of Sciences
Jointly published by CNIC,CAS & ICSU CODATA China Committee
(CN /N，ISSN )
An academic journal publishing multidisciplinary data papers
Online bilingual versions
To promote standardized data openness and citation and to making data findable, accessible, intelligible and reusable (FAIR)
SCOPE:Data papers describing (but not limited to) the following:
Datasets or data products generated from major scientific activities
Derived datasets or data products refined from raw data
Datasets linked to existing publications

10. Key points in writing
Clear intellectual property rights relationship maintance
Entire and accurate author name list
Authorized to publish datasets and data papers by cc-by 4.0
Completion for data files and storage record
Confirm the data files storage are complete and it matches with the description involved in data papers.
Make sure the data has been deposited in the most suitable, accessible and reliable data repository.
Rigor experiment and high data quality
Whether the data are generated in a rigorous and methodological way?
Data validation and quality control
Sufficient background information (such as spatial and temporal information) according to specific discipline as well as data application suggestions
Integrity of the description
Enough specific explanations for research method and data processing steps together with data source, process, software aided and data file types allowing for easily reproducing.
All necessary information for datasets reuse or integration.
Conformance for metadata, datasets, other data description as well as data papers.
第一段最后一句：Some background information description can be optional, such as datasets regarding to one kind of fruit that only has rootted within a quite small certain area
总结：Nice data is the premise and delicated paper as a necessary

11. How to publish data template www.sciencedb.cn www.csdata.org
Login CSDATA（registration/browsing）
Download template and example
Submit with data papers and datasets
template

12. If I have a dataset/datasets
Kept by myself
Archived by the funding agency
Sharing it online by my website
2016 international training workshop for developing countries on big data for science held by codata china and CAS in july 2016
Stored in a long-term repository for re-analysis

13. Why not write a data paper!
OPEN ACCESS
open access for data papers & datasets
Open for reuse
Easily access,lifelong data curation
Efficient processing & rapid dissemination
at least 15 days for open ,within 3 month for publication
High quality guarenteed
strict review process(peer review/crowd rating/voting)

14. Thank you ！

15. Tough points under discussion
Originality
Preferred creativity in data papers
Derived data worthy of publication:
DataA +DataB=My data?
Data flow publication
Similar data papers-ongoing dataflow and data papers
Published data size
Larger datasets with more citation as presumed;
Less chance to publish similar small size datasets;