收稿日期: 2015-12-20
修回日期: 2016-01-15
网络出版日期: 2016-02-05
基金资助
本文系国家社会科学基金项目"新信息环境下中国高校图书馆发展方向"(项目编号:08BTQ014)研究成果之一。
Analysis of Knowledge Structure Requirement of Research Data Service Personnel in Foreign Academic Libraries:Take the Web Information of IASSIST 2015 for an Example
Received date: 2015-12-20
Revised date: 2016-01-15
Online published: 2016-02-05
[目的/意义]通过调研国外高校图书馆具体数据服务人才招聘岗位的数据,分析社会对科研数据服务人员的知识结构和技能的最真实需求和要求,从而分析大数据时代国外高校图书馆科研数据服务人员的知识结构和岗位职责。[方法/过程]选取IASSIST网站中2015年1月1日至12月31日科研数据服务人员的招聘信息,经过筛选得到72条相关记录;再运用网络调查法和内容分析法,从人才市场对应聘者的需求类型、知识背景、综合素质能力、专业知识和特殊技能5个角度,深度解析国外高校图书馆科研数据服务人员的知识结构和岗位职责。[结果/结论]研究发现,国外高校图书馆对科研数据服务人员的需求主要为:有硕士以上学历,有图书情报学科、社会科学学科或特定领域学科专业背景,具有较强的数据分析能力和计算机技术能力,其中统计分析能力和计算机编程能力占重要部分,实践能力、工作经验会在招聘过程中成为应聘者的优势条件。
周晓燕 , 尹亚丽 . 国外高校图书馆科研数据服务人员知识结构分析——以IASSIST网站中2015年的招聘信息为例[J]. 图书情报工作, 2016 , 60(3) : 76 -82 . DOI: 10.13266/j.issn.0252-3116.2016.03.012
[Purpose/significance] This paper mainly investigated the recruitment information of research data specialists in academic libraries to analyze and understand our society's real demand for research data specialists. Then, it analyzed the knowledge structure and job responsibility of research data specialists of foreign academic libraries in big data era. [Method/process] This paper adopted the recruitment information from IASSIST from 2015/1/1 to 2015/12/31, and finally got 72 related records. This paper used online research and content analysis as methods, and analyzed the research data specialists' knowledge structure and job responsibility of foreign academic libraries comprehensively from the dimensions of market demand, knowledge background, overall quality, professional knowledge and special quality.[Result/conclusion] It finds out that the demand of research data specialists in foreign academic libraries lies in master degree, the background of library and information science or social science or other certain specific research field, and ability of data analysis and computer programming. Besides, practice ability and work experience will be preferred in the hiring process, and big data specialists are inter-disciplinary specialists.
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