An essay on the differences and linkages between data science and information science

被引：0
|
作者：
Ye F.Y. [1 ]
Ma F.-C. [2 ]
机构：
[1] Jiangsu International Joint Informatics Laboratory, Nanjing University, Nanjing
[2] School of Information Management, Wuhan University, Wuhan
来源：
Data and Information Management | 2023年 / 7卷 / 01期
关键词：
Data; Data analytics; Data science; Information; Information science; Knowledge; Knowledge metrics; Knowledge science;
D O I：
10.1016/j.dim.2023.100032
中图分类号：
学科分类号：
摘要：
When there are differences in research objects and methodology between data science and information science, there are also linkages between data science and information science, based on the DIKW hierarchy to the concept chain, namely data – information – knowledge – wisdom. While knowledge metrics provides a quantitative linkage of data – information – knowledge – wisdom, information is the logarithm of data and knowledge is the logarithm of information, on which the mechanism of Brookes’ basic equation of information science is revealed. We suggest to maintain similar principles of data science and information science, including the principle of order, the principle of correlation, the principle of reorganized transformation, the principle of scatter distribution, the principle of logarithmic perspective, and the principle of least effort. Also, we extend to discuss a few issues on knowledge science. © 2023
引用
收藏
相关论文
共 50 条
  • [1] Boundary Objects: a bridge between information science and data science
    de Mello Filho, Luiz Lourenco
    de Araujo, Rogerio Henrique, Jr.
    ENCONTROS BIBLI-REVISTA ELETRONICA DE BIBLIOTECONOMIA E CIENCIA DA INFORMACAO, 2021, 26
  • [2] BIRDS - Bridging the Gap between Information Science, Information Retrieval and Data Science
    Frommholz, Ingo
    Liu, Haiming
    Melucci, Massimo
    PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20), 2020, : 2455 - 2458
  • [3] Data Science and Information Science
    de Araujo Freire, Gustavo Henrique
    Freire, Isa Maria
    INFORMACAO & SOCIEDADE-ESTUDOS, 2019, 29 (03) : 3 - 4
  • [4] Twinning data science with information science in schools of library and information science
    Wang, Lin
    JOURNAL OF DOCUMENTATION, 2018, 74 (06) : 1243 - 1257
  • [5] Information science: Why it is not data science
    Seadle, Michael
    Havelka, Stefanie
    Data and Information Management, 2023, 7 (01)
  • [6] BIRDS 2021-Bridging the Gap between Information Science, Information Retrieval and Data Science
    Frommholz, Ingo
    Liu, Haiming
    Melucci, Massimo
    CHIIR '21: PROCEEDINGS OF THE 2021 CONFERENCE ON HUMAN INFORMATION INTERACTION AND RETRIEVAL, 2021, : 349 - 350
  • [7] Data, information and science
    Murdin, P
    ASTRONOMY & GEOPHYSICS, 2001, 42 (03) : 9 - 9
  • [8] Bibliographical foundations of information science: a review essay
    Hjorland, Birger
    JOURNAL OF DOCUMENTATION, 2025, 81 (01) : 128 - 146
  • [9] Data Science Education in Library and Information Science Schools
    Hagen L.
    Andrews J.
    Federer L.
    Benoit G.
    Proceedings of the Association for Information Science and Technology, 2019, 56 (01): : 536 - 537
  • [10] Data science from a library and information science perspective
    Virkus, Sirje
    Garoufallou, Emmanouel
    DATA TECHNOLOGIES AND APPLICATIONS, 2019, 53 (04) : 422 - 441
12345