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Journal of library and information science in agriculture ›› 2019, Vol. 31 ›› Issue (2): 36-42.doi: 10.13998/j.cnki.issn1002-1248.2019.02.18-1815

• Research paper • Previous Articles     Next Articles

On the Expansion of Evaluation in Humanities and Social Sciences field in Big Data Environment

HOU Ru   

  1. Library of Beijing Wuzi University, Beijing 101149, China
  • Received:2018-11-27 Online:2019-02-05 Published:2019-04-22

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Abstract: In the big data environment, the evaluation of humanities and social sciences has obtained good development opportunities. This paper uses the methods of literature investigation and systematic analysis, based on the problems of the evaluation system mentioned by General Secretary Xi Jinping at the symposium on philosophy and Social Sciences. This paper lists the existing problems in the evaluation of the humanities and social sciences, and concludes that the environment of big data can be divided into the following parts to expand and be supplied: the idea of evaluation, the data resources of evaluation, the evaluation subject and object in the Evaluation System, evaluation methods, tools, indicators and the traditional evaluation of humanities and social sciences.

Key words: humanities and social sciences, scientific evaluation, big data

CLC Number: 

  • G251
[1] 习近平. 在哲学社会科学工作座谈会上的讲话[J].民族论坛,2016,(5):4-12.
[2] Priem J.I like the term articlelevelmetrics,but it fails to imply diversity of measures. Lately,I’m liking altmetrics[EB/OL].[2018-04-20].https: //twitter.com//jasonpriem/status /25844968813.
[3] Piwowar H.Altmetrics: Value all research products[J].Nature,2013,493( 7431) : 159.
[4] 邱均平,柴雯,马力.大数据环境对科学评价的影响研究[J].情报学报,2017,36(09):871-877.
[5] 朱剑. 大数据之于学术评价:机遇抑或陷阱?—兼论学术评价的“分裂”[J].中国青年社会科学,2015(4): 66-78.
[6] 蒋玲,杨红艳.大数据时代人文社科成果评价变革探析[J].情报资料工作,2015(3): 92-97.
[7] HICKS D,WOUTERS P,et al.The Leiden Manifesto for re-search metrics[J].Nature,2015,520: 429-431.
[8] 宋歌,孙建军.科研项目学术质量评价关键问题研究[J].图书与情报,2016(05):105-109,104.
[9] Lynch C. How do your data grow? Scientists need to ensure that their results will be managed for the long haul[J]. Maintaining Data Takes Big Organization,2008,455(4):28,29.
[10] Right to Data [EB/OL]. [2018-05-10].http://data. gov. uk/opendataconsultation/policy-challenge-questions/an-enhanced-right-to-data.
[11] Big Data Research and Development Initiative[EB/OL].[2018-05-20].http://www.whitehouse.gov/sites/default/files/microsites/ostp/big_data_press_release_final_2.pdf.
[12] 曾建勋,魏来.大数据时代的情报学变革[J].情报学报,2015,34(01):37-44.
[13] 王通讯.大数据与人才的发现评价[N].光明日报,2014-04-19(11).
[14] 董克,邱均平.论大数据环境对情报学发展的影响[J].情报学报,2017,36(09):886-893.
[15] Viktor Mayer-Schnberger,Kenneth Cukier.Big Data:A Revolution That Will Transfrom How We Live,Work,and Think[M].Eamon Dolan/Houghton Mifflin Harcourt,2013:48-55.
[16] BERGSTROM C.Eigenfactor: measuring the value and prestige of scholarly journals[J].College&Research Libraries News,2007,68(5): 314-316.
[17] Scimago Journal Ranking[EB/OL].[2018-05-12].http://www.scimagojr.com/.
[18] 彭知辉.数据:大数据环境下情报学的研究对象[J].情报学报,2017,36(02):123-131.
[19] 王知津,张桂玲.网络化对前网络时代情报学学科体系的影响[J].图书情报工作,2002(6):57—59.
[20] MACROBERTS M H,MACROBERTS B R.Problems of citation analysis: a study of uncited and seldom-cited influences[J].Journal of the American Society for Information Science and Technology,2010,61(1) : 1-12.
[21] VAN RAAN A F J.Avanced bibliometric methods as quantitive core of peer review based evaluation and foresight exercises[J].Scientometrics,1996,36(3) : 397-420.
[22] 万昊,谭宗颖,朱相丽.同行评议与文献计量在科研评价中的作用分析比较[J].图书情报工作,2017,61(01):134-152.
[23] 宋歌,孙建军.科研项目学术质量评价关键问题研究[J].图书与情报,2016(05):105-109,104.
[24] N Lin.Foundations of Social Research[M].New York:Mc Graw-Hill,1976:5.
[25] 邱均平,柴雯,马力.大数据环境对科学评价的影响研究[J].情报学报,2017,36(09):871-877.
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