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Challenges and opportunities for research data management in Chinese library community
Xu, Huifang
Based on the three models of research data publishing, this paper presents an investigation and analysis of Chinese research data management and sharing, including China’s national research data management and sharing platforms, institutional research data repositories, Chinese data publishing journals, and data publishing practices. Based on the analysis of China's research data management and sharing environment, the paper will further examine the challenges and opportunities of research data management and sharing services offered by the Chinese library community. Finally, it will provide suggestions for how Chinese libraries can create implementation paths in order to conduct research data management services more effectively.
Fulltext: idr-1375_1_paper -  PDF
Slides: idr-1375_2_presentation - PDF
Video: idr-1375_3_video -  MP4
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Business report of 13th International Digital Curation Conference
Černohlávková, Petra
The business report describes the course of participation in the 13th International Digital Curation Conference (IDCC) dedicated to data and data management plans. Participation in the conference was key to plans to build a new repository. The international trip brought a first insight into the issues and new trends at the international level. At the same time, it has made it possible to establish contacts between experts in the field who already manage their repositories. The findings and texts of the papers can be used as a basis for consideration of the possibilities of NTK in the field of research data and data stewardship, and they are also an inspiration for the next year of the international Conference on grey literature and repositories under the auspices of NTK.
Fulltext: PDF
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What is that grey literature?
Černohlávková, Petra
Pojem šedá literatura není zdaleka novinkou. Poprvé byla jako odborný termín uznána v 70. letech, výraznější pozornosti se jí dostává až v 90. letech minulého století. Příspěvek se pokouší o základní systematizaci tohoto pojmu.
Fulltext: PDF
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Dizertace a výzkumná data
Schöpfel, Joachim ; Prost, Hélène
What do we know about data behaviours and needs of PhD students, especially in social sciences and humanities? How can academic libraries improve the research data management (RDM) of PhD students? How can they contribute to curation, preservation and sharing of research data related to electronic theses and dissertations (ETDs)? Which are realistic goals? The workshop will provide an introduction and overview of the field and help to better understand the challenge of RDM for academic libraries. It will describe the different RDM projects on the social sciences and humanities campus of the University of Lille, in particular the PhD training program and the development of a RDM infrastructure for the storage, preservation and sharing of research data related to ETDs. A large part of the workshop will be reserved for the discussion of the participants’ local initiatives, projects and questions.
Fulltext: idr-1182_1 - PDF; idr-1182_2 - PDF
Slides: Workshop_presentation_Schopfel_Prost - PDF
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Research Data Analysis Based on the Collection of Dissertation Theses of Charles University in Prague with Regard to Long-term Digital Preservation
Pavlásková, Eliška ; Krbec, Pavel (advisor) ; Ivánek, Jiří (referee) ; Bartošek, Miroslav (referee)
This dissertation thesis focuses on research data and their use in academics from the point of view of long-term preservation. It maps usage of research data at Charles University in Prague, analyses them and lays the foundation for further research. The first part of the text focuses on the theory of long term preservation and describes the most relevant concepts regarding users, storage and structure of research data. The second part is devoted directly to research data. It consists of definition of research data, the short explanation of their importance and sources, and the model of their lifecycle. The pivotal part of the thesis is the description and the results of the research itself. The research was conducted during the year 2015 and was based on a sample of dissertation theses from the collections of Charles University in Prague. Collected data were analysed by the methods of content analysis and grounded theory. Results are presented in two main parts - content analysis results with regard to differences among science, social science and humanities, and qualitative analysis results. Powered by TCPDF (www.tcpdf.org)
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