Data Integration Strategy

A Data Integration Strategy is a method within the domain of Data Strategy that systematically orchestrates the aggregation, alignment, and harmonization of data from disparate sources to ensure consistency, accessibility, and usability across organizational systems and processes.

61

Publications

2.4K

Citations

220

Authors

105

Institutions

Publications per year

2017–2026

22

Authors

220

  1. MS
    Michael Siegel

    Boston University, United States

    2 publications · 96 citations

    2

    h-index

  2. AA
    Ali Abur

    Northeastern University, United States

    2 publications · 42 citations

    2

    h-index

  3. DŠ
    D.J. Šobajić

    Case Western Reserve University, United States

    2 publications · 42 citations

    2

    h-index

  4. QL
    Qiudan Li

    Chinese Academy of Sciences, China

    2 publications · 78 citations

    2

    h-index

  5. SM
    Stuart Madnick

    Massachusetts Institute of Technology, United States

    2 publications · 96 citations

    2

    h-index

1–5 of 220

Venues

  1. IEEE Power and Energy Magazine

    2 publications · 42 citations

    2

    h-index

  2. PLoS ONE

    2 publications · 51 citations

    2

    h-index

  3. BMC Bioinformatics

    1 publications · 30 citations

    1

    h-index

  4. Nature Communications

    1 publications · 19 citations

    1

    h-index

  5. Quality & Quantity

    1 publications · 17 citations

    1

    h-index

1–5