Use of Context in Data Quality Management: A Systematic Literature Review

被引:0
作者
Serra, Flavia [1 ]
Peralta, Veronika [2 ]
Marotta, Adriana [1 ]
Marcel, Patrick [3 ]
机构
[1] Univ Republica, Inst Comp, Fac Ingn, Montevideo, Uruguay
[2] Univ Tours, Tours, Centre Val De L, France
[3] Univ Orleans, Orleans, France
来源
ACM JOURNAL OF DATA AND INFORMATION QUALITY | 2024年 / 16卷 / 03期
关键词
Systematic literature review; data quality; context; data quality method- ology; METHODOLOGY; INTERNET;
D O I
10.1145/3672082
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The importance of context in data quality (DQ) was shown many years ago and nowadays is widely accepted. Early approaches and surveys defined DQ as fitness for use and showed the influence of context on DQ. This article presents a Systematic Literature Review (SLR) for investigating how context is taken into account in recent proposals for DQ management (DQM). We specifically present the planning and execution of the SLR, the analysis criteria and our results reflecting the relationship between context and DQ in the state-of-the-art and, particularly, how this context is defined and used for DQM. The SLR is instrumental to the identification of context components and the design of a context formal model.
引用
收藏
页数:41
相关论文
共 103 条
  • [11] Methodologies for Data Quality Assessment and Improvement
    Batini, Carlo
    Cappiello, Cinzia
    Francalanci, Chiara
    Maurino, Andrea
    [J]. ACM COMPUTING SURVEYS, 2009, 41 (03)
  • [12] Bazire M, 2005, LECT NOTES ARTIF INT, V3554, P29
  • [13] Belhiah M., 2015, Data Management Technologies and Applications, Revised Selected Papers (Communications in Computer and Information Science, V584, P1, DOI [10.1007/978-3-319-30162-41, DOI 10.1007/978-3-319-30162-41]
  • [14] Database Repairs and Consistent Query Answering: Origins and Further Developments
    Bertossi, Leopoldo
    [J]. PROCEEDINGS OF THE 38TH ACM SIGMOD-SIGACT-SIGAI SYMPOSIUM ON PRINCIPLES OF DATABASE SYSTEMS (PODS '19), 2019, : 48 - 58
  • [15] Ontological Multidimensional Data Models and Contextual Data Quality
    Bertossi, Leopoldo
    Milani, Mostafa
    [J]. ACM JOURNAL OF DATA AND INFORMATION QUALITY, 2018, 9 (03):
  • [16] Bertossi L, 2011, LECT NOTES BUS INF P, V84, P52
  • [17] Bicevska Z., 2017, Information Technology for Management, Extended Selected Papers (Lecture Notes in Business Information Processing, V311, P194, DOI [10.1007/978-3-319-77721-411, DOI 10.1007/978-3-319-77721-411]
  • [18] Bicevskis J., 2017, Annals of Computer Science and Information Systems, V11, P999, DOI [10.15439/2017F279, DOI 10.15439/2017F279]
  • [19] Blay KB, 2020, ACM J DATA INF QUAL, V12, DOI 10.1145/3388786
  • [20] And What Can Context Do For Data?
    Bolchini, C.
    Curino, C. A.
    Orsi, G.
    Quintarelli, E.
    Rossato, R.
    Schreiber, F. A.
    Tanca, L.
    [J]. COMMUNICATIONS OF THE ACM, 2009, 52 (11) : 136 - 140