Preliminary Conference Agenda

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Session Overview
Session
Chinese Papers 3: Data Curation & Service
Time:
Saturday, 25/Mar/2017:
8:30am - 10:00am

Location: Hanyang Hall
Location: Third Floor Capacity: 60 Size: 73㎡

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Presentations

Roles in Enterprise R&D Data Curation from perspective of Data Governance

Zhenjia Fan, Xiu Zhang

Nankai University, China, People's Republic of

[Purpose/Significance] Data Curation is an important practice field of enterprise information resource management in digital era. Besides digital archiving and digital preservation, more emphasis should be on the reutilization of data. Discussion on roles of data curation in some given context would have significance both in theory and practice. [Method/Process] This essay explores case study method, with data curation and data governance theory and model, to analyze the difficulties and challenges in R&D management data curation. [Result/Conclusion] In the context of government funded R&D digital curation practice, roles of data curation are not equivalent to interest relators. Roles about data supervisor, data steward, data custodian would be put forward.


Exploring The Value System on Open Government Data in China

Ruhua Huang1, Baiyang Li2, Lihong Zhou3, Xinyuan Zhang4

1Information Resource Research Center of Wuhan University; 2School of Information Management; 3School of Information Management; 4School of Information Management

[Purpose] Systematically research on the value system of open government data will function on guiding the global and lay the foundation for succeeding activities. [Question] This article mainly studies there are how many basic values in open government data, analyzes each basic value contains how many sub-values and the value system which combined with these sub-values. [Methodology] This paper combines literature analysis, matrix analysis and systematic analysis methods to abstract viewpoints from literature, construct matrix and finally systematically analyzed the values on different aspects of open government data. [Findings] The research illustrates that the basic values of open government data are political value, social value, economic value and technological value. The value system composed by 16 secondary indexed and three-grade indexes.


Research Progress on Institutional Research Data Repository Abroad

Li Si1, Yueliang Zeng2

1Research Center of Information Resource, Wuhan University, China, People's Republic of; 2School of Information Management, Wuhan University, China, People's Republic of

In the era of E-science and E-research, it has been a growing concern in the field of research data management abroad that effectively managing research data by establishing research data repository both within and across universities and other research institutions to promote the data sharing and scholarly communication. This paper adopts WoS, Springer, Elsevier, Emerald, EBSCO, and ProQuest as the main data sources to conduct a systematic review on the latest progress of institutional research data repository (IRDR) overseas. It is shown that the research on IRDR mainly focused on the role of institutional repository in the course of research data management, the needs and practice of IRDR development, the management of IRDR, data storage in IRDR, data organization and retrieval in IRDR, data publishing of IRDR and the federation of IRDR.


Research on Two Key Issues of China's Big Data Exchange——Ownership and Pricing

Tao Tang

Shanghai Academy of Social Sciences, China

The problems of China's big data exchange industry are summarized. It is found that the ownership and pricing are the two key issues. In terms of the ownership of big data, it should depend on the degree of processing. The original data’s ownership belongs to users, and the processed big data’s ownership belongs to collectors. In terms of pricing, the commercial big data’s price is decided by the market, and the government big data should refer to social public product’s price.


Research on Digital Curation education based on DCERC model

Zhiqing Deng, Ping Wang

Wuhan University, China, People's Republic of

In the era of Big Data, data is vital assets of all fields. Digital Curation(DC for short) and DC education have get wide attention. Foreign universities or data center began to cultivate talents personnel through various means. At present, China's lagging behind in the curriculum of the school of LIS. It cannot meet the actual needs of actual work.. Referencing to the practice of LIS universities and research centers’ joint training of Digital Curation personnel in North America, combined with the real needs of DC education development in China, this paper proposed such a model as Digital Curation Education in Research Centers(DCERC for short), thus providing a reference model for Digital Curation education in China.



 
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