A multi-dimensional learning strategy to foster research integrity

被引:0
|
作者
Pizzolato, Daniel [1 ,2 ,3 ]
Dierickx, Kris [1 ]
机构
[1] Katholieke Univ Leuven, Leuven, Belgium
[2] European Network Res Eth Comm, Bonn, Germany
[3] Katholieke Univ Leuven, Ctr Biomed Eth & Law, Dept Publ Hlth & Primary Care, Kapucijnenvoer 35, B-3000 Leuven, Belgium
关键词
Research integrity training; multi-dimensional learning; mentoring; supervision; RESPONSIBLE CONDUCT; SUPERVISORS; ETHICS;
D O I
10.1177/17470161231198666
中图分类号
B82 [伦理学(道德学)];
学科分类号
摘要
Responsible research practices are critical to maintaining integrity in research and the provision of institutional trainings is an important means of promoting research integrity. However, studies show contrasting results on the efficacy of institutional training and that these approaches may not be fully effective in promoting research integrity among individuals and improving the overall climate in research integrity. Therefore, a more comprehensive multi-dimensional learning strategy seems to be needed. This includes continuous and tailored training at different institutional levels, the incorporation of training sessions focusing on the development of the moral character of researchers, and the use of different mentoring practices. With this comprehensive approach, research institutions can foster a culture of integrity in research, improve the overall research integrity climate and promote responsible research practices by individuals.
引用
收藏
页码:210 / 218
页数:9
相关论文
共 50 条
  • [41] Sequential optimizing strategy in multi-dimensional bounded forecasting games
    Kumon, Masayuki
    Takemura, Akimichi
    Takeuchi, Kei
    STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2011, 121 (01) : 155 - 183
  • [42] A machine learning approach for efficient multi-dimensional integration
    Boram Yoon
    Scientific Reports, 11
  • [43] Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
    Zhang, Pushi
    Chen, Xiaoyu
    Zhao, Li
    Xiong, Wei
    Qin, Tao
    Liu, Tie-Yan
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [44] A Conceptual Multi-Dimensional Model for Smart Learning Environments
    Maulidiya, Della
    Santoso, Harry Budi
    Hasibuan, Zainal Arifin
    2019 11TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS 2019), 2019, : 505 - 511
  • [45] Research on a Building under Multi-dimensional Seismic Excitations
    Sun, Zuoyu
    Wang, Hui
    Mao, Keyang
    Fang, Mingsheng
    ADVANCES IN MANUFACTURING SCIENCE AND ENGINEERING, PTS 1-4, 2013, 712-715 : 1672 - 1677
  • [46] Research on data symbolization of multi-dimensional time series
    Wang, Xiaoye
    Xu, Xiaoying
    Sun, Jizhou
    Du, Taihang
    Jisuanji Gongcheng/Computer Engineering, 2006, 32 (12): : 52 - 54
  • [47] A multi-dimensional model of reflective learning for professional development
    Black, Patricia E.
    Plowright, David
    REFLECTIVE PRACTICE, 2010, 11 (02) : 245 - 258
  • [48] Object based learning using multi-dimensional games
    Punia, Sanjeev Kumar
    Kumar, Manoj
    Aggarwal, Jyoti
    Malik, Kuldeep
    JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY, 2020, 23 (02): : 509 - 524
  • [49] Multi-Dimensional Computer Basic Education Practice and Research
    Wang, Yizhi
    Zhou, Wei
    Lu, Lingyun
    2017 12TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND EDUCATION (ICCSE 2017), 2017, : 722 - 725
  • [50] THE GREAT MEDITERRANEAN AS A MULTI-DIMENSIONAL OBJECT OF POLITICAL RESEARCH
    Chikharev, I. A.
    POLIS-POLITICHESKIYE ISSLEDOVANIYA, 2021, (03): : 129 - 146