Journal of Library and Information Science in Agriculture ›› 2020, Vol. 32 ›› Issue (10): 4-15.doi: 10.13998/j.cnki.issn1002-1248.2020.10.20-0454
• Agricultural scientific data • Next Articles
JIANG Enbo1,2, LI Na1,2
CLC Number:
[1] 农业农村部. 中央网络安全和信息化委员会办公室关于印发《数字农业农村发展规划(2019—2025年)》的通知[EB/OL].[2020-03-03]. http://www.gov.cn/zhengce/zhengceku/2020-01/20/content_5470944.htm. [2] 中共中央办公厅. 国务院办公厅印发《数字乡村发展战略纲要》[EB/OL]. [2020-03-03]. http://www.gov.cn/gongbao/content/2019/content_5395476.htm. [3] 我国政府部门数据开放的认知度研究[EB/OL]. [2020-02-15].https://www.sohu.com/a/251619739_99983415. [4] 苗珍珍, 翟军, 林岩, 等. 英国政府开放教育数据的实践与启示[J].中国教育信息化, 2017, 2(3): 13-18. [5] 翟军, 李昊然, 孙小荃, 等.美国《开放政府数据法》及实施研究[J/OL]. 情报理论与实践:1-8[2020-07-03]. http://kns.cnki.net/kcms/detail/11.1762.G3.20200317.1150.002.html. [6] 屠健. 我国政府开放数据政策执行因素研究[J]. 图书馆研究与工作, 2020(3): 57-61. [7] 相丽玲, 李彦如, 陈梦婕. 中外政府数据开放运行机制的实证分析[J]. 现代情报, 2020, 40(1): 134-143. [8] 王萍, 周霞, 宋婧馨, 等. 国内外政府数据开放平台研究述评[J/OL]. 情报理论与实践, 1-15[2020-07-03]. http://kns.cnki.net/kcms/detail/11.1762.G3.20200325.1306.008.html. [9] 刘博浩. 我国开放政府数据质量评价研究[D]. 河南: 郑州大学, 2019. [10] 王娟. 国内外政府开放数据质量研究述评[J]. 图书馆理论与实践, 2019(12): 27-31. [11] 徐咪咪. 我国政府开放数据的元数据标准主题研究[J]. 江苏科技信息, 2020(2): 7-9. [12] 顾嘉琪, 袁莉. 基于公众需求的政府数据开放服务质量提升研究[J]. 情报杂志, 2020, 39(6): 196-202. [13] JACOBSEN A, AZEVEDO R D M, JUTY N, et al. FAIR Principles: Interpretations and Implementation Considerations[J]. Data Intelli-gence, 2020, 2: 10-29. [14] 山东省大数据局[EB/OL]. [2020-04-08].https://baike.baidu.com/item/%E5%B1%B1%E4%B8%9C%E7%9C%81%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%B1%80/22915313?fr=aladdin. [15] 各省市大数据管理局[EB/OL]. [2020-04-08]. http://www.cuobiezi.net/t/show/58038. [16] DOI[EB/OL]. [2020-04-08].https://baike.baidu.com/item/doi/6776783?fr=aladdin. [17] 韩宏军. 政府数据开放许可使用模式研究[J]. 图书情报导刊, 2017,2(9): 69-72. [18] 服务协议条款[EB/OL]. [2020-04-08]. http://data.guizhou.gov.cn/#!/serviceTerms. [19] 迟玉琢. 科学数据能力研究:内涵、框架和影响因素[J]. 农业图书情报学报, 2020, 32(1): 23-29. |
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