工程化视角下的科研数据需求管理模型构建
|
摘要
[目的/意义]在揭示科研数据需求内涵特征基础上,构建科研数据需求管理模型,有助于快速识别科研人员复杂多样的数据需求,有效构建相匹配的创新数据服务机制,更好地推动科研人员的研究活动。[方法/过程]引入情报工程研究范式,将工程思维下科研数据需求管理框架所涉及的关键要素与霍尔三维结构方法论融合,构建工程化思维下科研数据需求管理的霍尔模型,分析其特点和必要性,并对该模型的时间维、逻辑维与知识维等内容进行论述和探讨。[结果/结论]模型从整体上全面系统地揭示了工程化思维下科研数据需求管理工作所涉及的构成关键要素与各项管理工作流程,为建设适应科研人员数据需求动态变化的数据服务平台提供可靠的引导分析模式。
[Purpose/Significance]On the basis of revealing the connotation characteristics of research data demand, the construction of research data demand management model can assist scientific researchers in identifying the complex and diverse data demand quickly, construct a matching innovative data service mechanism effectively, and promote the research activity of scientific researcher better.[Method/Process]The Hall model of research data demand management under engineering thinking is constructed by introducing the intelligence engineering research paradigm and integrating the key elements involved in the framework of research data demand management under engineering thinking with the Hall three-dimensional structure methodology. Based on the analysis of the model of characteristic and necessity, this research discussed the time, logic and knowledge dimension.[Result/Conclusion]The model comprehensively and systematically reflects the key elements and management workflow involved in scientific data demand management under engineering thinking, and provides a data service platform for the dynamic change of data demand of scientific research personnel.
[Purpose/Significance]On the basis of revealing the connotation characteristics of research data demand, the construction of research data demand management model can assist scientific researchers in identifying the complex and diverse data demand quickly, construct a matching innovative data service mechanism effectively, and promote the research activity of scientific researcher better.[Method/Process]The Hall model of research data demand management under engineering thinking is constructed by introducing the intelligence engineering research paradigm and integrating the key elements involved in the framework of research data demand management under engineering thinking with the Hall three-dimensional structure methodology. Based on the analysis of the model of characteristic and necessity, this research discussed the time, logic and knowledge dimension.[Result/Conclusion]The model comprehensively and systematically reflects the key elements and management workflow involved in scientific data demand management under engineering thinking, and provides a data service platform for the dynamic change of data demand of scientific research personnel.
引文
[1] 王琼,曹冉.英国高校科研数据保存政策调查与分析[J].中国图书馆学报2016,42(5):102-115.
[2] 刘晶晶,马建华.论科研数据开放共享的三种途径[J].情报杂志,2015,34(10):146-150,96.
[3] 吴新年.学术图书馆的科研数据管理服务[J].情报资料工作,2014(5):74-78.
[4] 化柏林,武夷山.论我国科技情报工作的基本特征[J].情报理论与实践,2013,36(5):11-13,19.
[5] 贺德方.事实型数据: 科技情报研究工作的基石[J].情报学报,2010,19(5): 771-776.
[6] Maurice B.Line.Draft definitions: Information and library ne-eds, wants, demands and users[J]. Aslib Proceedings,1974,26(2):87.
[7] Soper Mary Ellen, Osbourne Larry N, Zweizig Douglas L.The librarian's thesaurus:A concise guide to library and information terms[M].Chicago, IL: American Library Association.
[8] Cole C. Information need: A theory connecting information se-arch to know ledge formation[M].NewYork : Information Today Inc,2012.
[9] Bruce Kogut. The network as knowledge: Generative rules and the emergence of structure[J]. Strategic Management Journal,2002 ( 21) : 405-425.
[10] 马费成,宋恩梅 . 信息管理学基础[M].2 版.武汉: 武汉大学出版社,2011: 308-309.
[11] Vakari P. Task complexity, problem structure and information actions :Integrating studies on information seeking and retrieval[J].Information Processing & Management,1999,35(6) :819-837.
[12] Cole C.A theory of information need for information retrieval that connects information to knowledge[J].Journal of the American Society for Information Science and Technology,2011,62(7):1216-1231.
[13] Bruce H.Personal anticipated information seeking and use[J].Information Research,2005,10(3):1-27.
[14] 彭鑫,邓仲华.数据密集型科研环境下的科研数据管理框架研究[J].数字图书馆论坛,2017(7):61-67.
[15] 白如江,冷伏海.“大数据”时代科研数据整合研究[J].情报理论与实践, 2014, 37 (1):94-99.
[16] 郭路生,刘春年,胡佳琪.工程化思维下情报需求开发范式--情报需求工程探析[J].情报理论与实践,2017,40(9):24-28.
[17] 唐晓波,魏巍.工程化视角下的情报工作方法论研究:理论模型的构建[J].图书情报工作,2016,60(7):5-10.
[18] 张家年,王文韬.融入工程化思维:大数据环境下情报分析机制的构建[J].情报理论与实践,2016,39(6):1-6.
[19] 殷瑞钰,汪应洛,李伯聪,等.工程哲学[M].北京:高等教育出版社,2007:102-114.
[20] UK government. Performance of the UK research base:International comparison -2013[EB/OL].[2018-07.26].https://www.gov.uk/government/publications/performance-of-the-uk-research-base-international-comparison-2013.
[21] OECD.JudithKamalski[EB/OL].[2018-07-26].http://www.oecd.org/sti/inno/Judith%20Kamalski.pdf.
[22] Indiana University. Center for complex netwoks and system research[EB/OL].[2018-07-26]. http://cnets.indiana.edu/.
[23] Indiana University. Advanced Visualization Lab[EB/OL].[2018-07-26]. http://rt.uits.in.edu/visualization/avl/.
[24] 李阳,李纲,张家年.工程化思维下的智库情报机能研究[J].情报杂志,2016,35(3):36-41,48.
[25] 李纲,李阳.面向决策的智库协同创新情报服务:功能定位与体系构建[J].图书与情报,2016(1):36-43.
[26] 刘春年,张凌宇.应急信息可信度研究范式的三维阐释与构建——基于工程化思维与WSR方法论[J].现代情报,2017,37(6):24-30.
[27] 郭路生,刘春年,闫喜凤.领域分析驱动的应急情报需求工程研究[J].情报杂志,2017,36(11):72-77.
[28] Hall A D. Three-dimensional morphology of systems engineering[J].Transactions on Systems Science and Cybernetics,1969,5(2) 156-160.
[29] 汪应洛.系统工程[M].4版.北京: 机械工业出版社,2008.
[30] 唐晓波,朱娟.基于霍尔模型的情报工程知识体系构建[J].数字图书馆论坛,2016(2):27-32.
[31] 李信.基于霍尔模型的大数据战略实施体系构建[J].数字图书馆论坛,2016(6):28-33.
[32] 罗巍,张阳,唐震.基于霍尔三维结构的知识地图构建:以中国协同创新研究为例[J].情报理论与实践,2016,39(10):117-121.
[33] 杨国立,周鑫.“数据即服务”背景下图书情报机构科学数据服务的发展机遇[J].情报学报,2017,36(8):772-780.
[34] 潘云涛,田瑞强.工程化视角下的情报服务——国外情报工程实践的典型案例研究[J].情报学报,2014,33(12):1242-1253.
[35] 李晓辉.图书馆科研数据管理与服务模式探讨[J].中国图书馆学报,2011,37(5):46-52.
[36] 包昌火.中国情报工作和情拫学研宄[M].北京:科学出版社,2014.
[37] 王文韬,谢阳群,张家年.关于信息需求动机的“溯源”研究[J].情报资料工作,2014(6):39-43.
[2] 刘晶晶,马建华.论科研数据开放共享的三种途径[J].情报杂志,2015,34(10):146-150,96.
[3] 吴新年.学术图书馆的科研数据管理服务[J].情报资料工作,2014(5):74-78.
[4] 化柏林,武夷山.论我国科技情报工作的基本特征[J].情报理论与实践,2013,36(5):11-13,19.
[5] 贺德方.事实型数据: 科技情报研究工作的基石[J].情报学报,2010,19(5): 771-776.
[6] Maurice B.Line.Draft definitions: Information and library ne-eds, wants, demands and users[J]. Aslib Proceedings,1974,26(2):87.
[7] Soper Mary Ellen, Osbourne Larry N, Zweizig Douglas L.The librarian's thesaurus:A concise guide to library and information terms[M].Chicago, IL: American Library Association.
[8] Cole C. Information need: A theory connecting information se-arch to know ledge formation[M].NewYork : Information Today Inc,2012.
[9] Bruce Kogut. The network as knowledge: Generative rules and the emergence of structure[J]. Strategic Management Journal,2002 ( 21) : 405-425.
[10] 马费成,宋恩梅 . 信息管理学基础[M].2 版.武汉: 武汉大学出版社,2011: 308-309.
[11] Vakari P. Task complexity, problem structure and information actions :Integrating studies on information seeking and retrieval[J].Information Processing & Management,1999,35(6) :819-837.
[12] Cole C.A theory of information need for information retrieval that connects information to knowledge[J].Journal of the American Society for Information Science and Technology,2011,62(7):1216-1231.
[13] Bruce H.Personal anticipated information seeking and use[J].Information Research,2005,10(3):1-27.
[14] 彭鑫,邓仲华.数据密集型科研环境下的科研数据管理框架研究[J].数字图书馆论坛,2017(7):61-67.
[15] 白如江,冷伏海.“大数据”时代科研数据整合研究[J].情报理论与实践, 2014, 37 (1):94-99.
[16] 郭路生,刘春年,胡佳琪.工程化思维下情报需求开发范式--情报需求工程探析[J].情报理论与实践,2017,40(9):24-28.
[17] 唐晓波,魏巍.工程化视角下的情报工作方法论研究:理论模型的构建[J].图书情报工作,2016,60(7):5-10.
[18] 张家年,王文韬.融入工程化思维:大数据环境下情报分析机制的构建[J].情报理论与实践,2016,39(6):1-6.
[19] 殷瑞钰,汪应洛,李伯聪,等.工程哲学[M].北京:高等教育出版社,2007:102-114.
[20] UK government. Performance of the UK research base:International comparison -2013[EB/OL].[2018-07.26].https://www.gov.uk/government/publications/performance-of-the-uk-research-base-international-comparison-2013.
[21] OECD.JudithKamalski[EB/OL].[2018-07-26].http://www.oecd.org/sti/inno/Judith%20Kamalski.pdf.
[22] Indiana University. Center for complex netwoks and system research[EB/OL].[2018-07-26]. http://cnets.indiana.edu/.
[23] Indiana University. Advanced Visualization Lab[EB/OL].[2018-07-26]. http://rt.uits.in.edu/visualization/avl/.
[24] 李阳,李纲,张家年.工程化思维下的智库情报机能研究[J].情报杂志,2016,35(3):36-41,48.
[25] 李纲,李阳.面向决策的智库协同创新情报服务:功能定位与体系构建[J].图书与情报,2016(1):36-43.
[26] 刘春年,张凌宇.应急信息可信度研究范式的三维阐释与构建——基于工程化思维与WSR方法论[J].现代情报,2017,37(6):24-30.
[27] 郭路生,刘春年,闫喜凤.领域分析驱动的应急情报需求工程研究[J].情报杂志,2017,36(11):72-77.
[28] Hall A D. Three-dimensional morphology of systems engineering[J].Transactions on Systems Science and Cybernetics,1969,5(2) 156-160.
[29] 汪应洛.系统工程[M].4版.北京: 机械工业出版社,2008.
[30] 唐晓波,朱娟.基于霍尔模型的情报工程知识体系构建[J].数字图书馆论坛,2016(2):27-32.
[31] 李信.基于霍尔模型的大数据战略实施体系构建[J].数字图书馆论坛,2016(6):28-33.
[32] 罗巍,张阳,唐震.基于霍尔三维结构的知识地图构建:以中国协同创新研究为例[J].情报理论与实践,2016,39(10):117-121.
[33] 杨国立,周鑫.“数据即服务”背景下图书情报机构科学数据服务的发展机遇[J].情报学报,2017,36(8):772-780.
[34] 潘云涛,田瑞强.工程化视角下的情报服务——国外情报工程实践的典型案例研究[J].情报学报,2014,33(12):1242-1253.
[35] 李晓辉.图书馆科研数据管理与服务模式探讨[J].中国图书馆学报,2011,37(5):46-52.
[36] 包昌火.中国情报工作和情拫学研宄[M].北京:科学出版社,2014.
[37] 王文韬,谢阳群,张家年.关于信息需求动机的“溯源”研究[J].情报资料工作,2014(6):39-43.