Journal of Agricultural Big Data >
The Enlightenment of Factors Influencing Data Reuse on the Development Direction of Warehouse-Based Data Management Platforms
Received date: 2023-07-16
Accepted date: 2023-08-02
Online published: 2023-11-14
As a powerful tool and knowledge foundation for scientific research, scientific data have attracted the attention of researchers throughout its entire process of data behavior. Data reuse, as a key component, is of great significance for the development of scientific data management and sharing. Taking the Agricultural Environment Data Sharing Service Platform, developed by the Institute of Agricultural Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, as the starting point, the article introduces relevant research on data reuse and the evolution of the definition of scientific data reuse in terms of time dimension. From the perspective of the impact framework of data reuse, it analyzes the impact of researchers, scientific data, and data platforms on data reuse. Moreover, the article explores the popular and widely-used warehouse-based data management platform models, and proposes the next development inspiration, regarding to the current situation and problems of agricultural data sharing service platforms.
Key words: data reuse; influencing factors; warehouse type; data sharing
YuXiao SUN , YanLi LI , Feng LI , Bin LI . The Enlightenment of Factors Influencing Data Reuse on the Development Direction of Warehouse-Based Data Management Platforms[J]. Journal of Agricultural Big Data, 2023 , 5(3) : 2 -10 . DOI: 10.19788/j.issn.2096-6369.230302
| [1] | Martin M E. The committee on national statistics: 10years later[J]. American Statistician, 1982, 36(2):103-108. |
| [2] | King G. Replication, replication[J]. PS: Political Science & Politics, 1995, 28(3) : 444-452. |
| [3] | Committee on issues in the transborder flow of scientific data[EB/OL].[2021-04-16]. http://www.Nap.edu/openbook.php?record_id=5504. |
| [4] | Karast I H, Baker K S. Digital data practices and the long term ecological research program growing global[J]. International Journal of Digital Curation, 2008, 3(2):42-58.DOI: https://doi.org/10.2218/ijdc.v3i2.57 |
| [5] | Borgman C L. The conundrum of sharing research data[J]. Journal of the American Society for Information Science and Technology, 2011, 63(6):1059-1078. |
| [6] | 尹文辰. 国内外科学数据重用理论研究与实践进展[J]. 山东图书馆学刊, 2022(2):7-14. |
| [7] | 张潇月, 顾立平, 胡良霖. 国内外开放科研数据重用困境解决措施述评[J]. 图书馆, 2021,(3):80-89. |
| [8] | 王雪, 杨波. 科学数据重复使用的学科差异性研究[J]. 情报杂志, 2021, 40(7):122-126. |
| [9] | Tenopir C, Dalton E D, Allard S, et al. Changes in data sharing and data reuse practices and perceptions among scientists worldwide[J]. PLoS One, 2015, 10(8):e0134826. doi: 10.1371/journal.pone.0134826. |
| [10] | 文静, 何琳, 韩正彪. 科研人员科学数据重用意愿的影响因素研究[J]. 图书情报知识, 2019(1):11-20.DOI:10.13366/j.dik.2019.01.011. |
| [11] | 魏银珍, 邓仲华, 杨改贞. 科研人员数据重用意愿的影响因素研究[J]. 图书馆理论与实践, 2020(3):11-16. |
| [12] | Piwowar H A, Vision T J. Data reuse and the open data citation advantage[J]. PeerJ, 2012, 1(3):e175.doi: 10.7717/peerj.175. |
| [13] | Park H, You S, Wolfram D. Informal data citation for data sharing and reuse is more common than formal data citation in biomedical fields[J]. Journal of the Association for Information Science and Technology, 2018, 69(11):1346-1354. |
| [14] | Walli J C, Rolando E, BorgmanC L. If we share data, will anyone use them? Data sharing and reuse in the long tail of science and technology[J]. PLoS One, 2013, 8(7):e67332. |
| [15] | 秦顺, 戴柏清. 国际科研数据政策导向解析[J]. 图书情报工作, 2022, 66(13):48-60. |
| [16] | 王朔桓, 陈媛媛. 美国地理科学数据服务平台建设调查研究[J]. 图书馆学研究, 2018(8):46-54. |
| [17] | 卢垚, 王鸑飞, 刘洪冰, 等. Mendeley Data平台开放科学数据实践及启示[J]. 数字图书馆论坛, 2021(9):19-26. |
| [18] | 彭秀媛. 农业科学数据共享模式与技术系统研究[D]. 北京: 中国农业科学院, 2018. |
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