摘要
[目的/意义]数据重用是开放科研数据的重要目的,但现有研究中较少以开放数据发展成熟度较高的学科为例,探究数据重用实践的群组特征。本文通过识别我国生物学领域科研人员在数据重用活动中对数据重用实践建设的诉求,以用户画像方式为优化信息服务机构的数据服务方式提供实证依据。[方法/过程]基于“需求识别—机制分析—服务方案制定”整体逻辑,通过计算我国生物学领域科研人员数据重用行为调查问卷中的组间差异,了解不同实践状态对科研人员数据重用态度和感知的影响,进而利用层次聚类分析方法,对生物学领域科研数据重用人员进行群体画像。[结果/结论]调研结果发现,当前我国生物学领域数据实践中科研人员对社群文化基础、规则熟悉程度、配套支持措施的实用程度感知偏低。本文按其态度、感知和实践状态,总结出两大类和6小类典型画像类型,分别是参与者(包括边缘型、期待型、初步探索型)和潜在参与者(包括徘徊型、被动型、摇摆型),并建议图书馆、数据中心等信息服务机构据此开展具有针对性的“层次化”和“梯度化”服务,包括多场景、即期的科研数据实践辅助服务;多轮、短期的科研数据重用沉浸式体验服务和以增加记忆点为主的中长期项目规划服务。
[Purpose/Significance]Data reuse is a significant goal of opening research data.Current studies pay little attention on internal groups characters within specific disciplines,especially in those matured in opening research data.Through identifying the demands of researchers data practice in data reuse activities,this paper conducts personas analysis to help optimize data services from information service institutions and effectively promote the development of research data reuse practice.[Method/Process]Following the logic of“demands identification-mechanism analysis-schema making”,this paper conducted a questionnaire survey on the data reuse behavior of China s bioscience researchers.Through between-group differences analysis,the study analyzed respondents attitudes and perceptions of data reuse among different data reuse practice states and conducted personas analysis of respondents by using hierarchical clustering analysis.[Results/Conclusion]The results show that China s bioscience researchers have a relatively low perception towards the foundation of community culture,perceived reuse regulation proficiency,and perceived reuse support usability in data practice.Based on the variables above,this study summarize two major types and six sub-persona types,which are“participants(including marginal type,expectant type,and preliminary exploratory type)”and“potential participants(including hesitant type,passive type,and wavering type)”.Targeted and multi-layer service development suggestions are discussed,the study also proposes to develop progressive data reuse practice construction services,including immediate and multi-scenarios auxiliary services for research data reuse practice,short-term and multi-rounds immersive experience services for research data reuse,and increasing mid-term to long-term project planning services focused on research data reuse memory points.
作者
张潇月
刘金亚
赵昆华
Zhang Xiaoyue;Liu Jinya;Zhao Kunhua(Department of Information Management,Peking University,Beijing 100871,China;National Science Library,Chinese Academy of Sciences,Beijing 100190,China)
出处
《现代情报》
北大核心
2024年第6期33-44,共12页
Journal of Modern Information
基金
国家科技图书文献中心2023年专项任务“NSTL开放获取研究推进”(项目编号:2023XM20)。
关键词
开放科研数据
数据重用实践
用户画像
数据社群
数据重用服务
生物学领域
open research data
data reuse practice
personas construction
data community
research data reuse service
bioscience