A framework for user driven data management

被引:5
|
作者
Scott, Mark [1 ]
Boardman, Richard P. [1 ]
Reed, Philippa A. [1 ]
Austin, Tim [2 ]
Johnston, Steven J. [1 ]
Takeda, Kenji [1 ]
Cox, Simon J. [1 ]
机构
[1] Univ Southampton, Fac Engn & Environm, Southampton SO17 1BJ, Hants, England
[2] Inst Energy & Transport, Joint Res Ctr, European Commiss, NL-1755 ZG Petten, Netherlands
关键词
Digital libraries; Document management; Heterogeneous databases; Scientific databases; Dissemination; Data models; FATIGUE-CRACK INITIATION; RELATIONAL MODEL; MICROSTRUCTURE; PROPAGATION; PERFORMANCE; TOUGHNESS; ACCESS;
D O I
10.1016/j.is.2013.11.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Scientists within the materials engineering community produce a wide variety of data, with datasets differing in size and complexity. Examples include large 3D volume densitometry files (voxel) generated by microfocus computer tomography (mu CT) and simple text files containing results from a tensile test. Increasingly, there is a need to share this data as part of international collaborations. The design of a suitable database schema and the architecture of a system that can cope with the varying information is a continuing problem in the management of heterogeneous data. We present a model flexible enough to meet users' diverse requirements. Metadata is held using a database and its design allows users to control their own data structures. Data is held in a file store which, in combination with the metadata, gives huge flexibility. Using examples from materials engineering we illustrate how the model can be applied. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:36 / 58
页数:23
相关论文
共 50 条
  • [31] A trace metamodel proposal based on the model driven architecture framework for the traceability of user requirements in data warehouses
    Mate, Alejandro
    Trujillo, Juan
    INFORMATION SYSTEMS, 2012, 37 (08) : 753 - 766
  • [32] Data Driven Agents for User Experience Testing
    Fernandes, Pedro M.
    Lopes, Manuel
    Prada, Rui
    VIDEOGAME SCIENCES AND ARTS, VJ 2023, 2024, 1984 : 3 - 18
  • [33] Data-Driven User Experience Design
    Kim R.Y.
    Interactions (N.Y.), 2023, 30 (04) : 56 - 58
  • [34] USER-DRIVEN SEGMENTATION OF DESIGN DATA
    Maynard, Alex
    Burnap, Alexander
    Papalambros, Panos
    DS87-4 PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN (ICED 17), VOL 4: DESIGN METHODS AND TOOLS, 2017, : 473 - 482
  • [35] Towards an Integrative Big Data Analysis Framework for Data-driven Risk Management in Industry 4.0
    Niesen, Tim
    Houy, Constantin
    Fettke, Peter
    Loos, Peter
    PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016), 2016, : 5065 - 5074
  • [36] Data-driven strategies in operation management: mining user-generated content in Twitter
    Ramon Saura, Jose
    Ribeiro-Soriano, Domingo
    Palacios-Marques, Daniel
    ANNALS OF OPERATIONS RESEARCH, 2024, 333 (2-3) : 849 - 869
  • [37] Data-driven strategies in operation management: mining user-generated content in Twitter
    Jose Ramon Saura
    Domingo Ribeiro-Soriano
    Daniel Palacios-Marqués
    Annals of Operations Research, 2024, 333 : 849 - 869
  • [38] Low-Carbon Community Energy Management Incorporating Data-Driven User Segmentation
    Liu, Yinyan
    Bai, Lei
    Ma, Jin
    2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023,
  • [39] Wrangler's User Environment A Software Framework for Management of Data-intensive Computing System
    Jordan, Christopher
    Walling, David
    Xu, Weijia
    Mock, Stephen A.
    Gaffney, Niall
    Stanzione, Dan
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2015, : 2479 - 2486
  • [40] Enhanced Framework for Verifying User Authorization and Data Correctness Using Token Management System in the Cloud
    Balamurugan, B.
    Krishna, P. Venkata
    Devi, Nirmala M.
    Meenakshi, R.
    Abinaya, V
    2014 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2014), 2014, : 1443 - 1447