Designing data governance

By V. Khatri, Carol V. Brown. CACM, 2010

756 citations recorded by the source corpus.

Subfields: Information Systems, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/87b9508a25ca8fc29171aa4e75124bbcfceccdee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. T. Coltman
2. Paul P. Tallon
3. Md. Zakirul Alam Bhuiyan
4. Mehdi Gheisari
5. Guojun Wang

In Management Information Systems

1. T. Coltman
2. Rajeev Sharma
3. Magno Queiroz
4. Paul P. Tallon
5. Pramila P. Shinde
6. Seema Shah

In Management Science and Operations Research

1. T. Coltman
2. Paul P. Tallon

Citations in the corpus

• Information technology and the search for organizational agility: A systematic review with future research possibilities (2019, background): “While there are important questions around the ownership of data and whether data can be shared across the organization (Khatri and Brown, 2010; Sun and Wang, 2013), there are also questions about data architectures that may prevent data from driving organizational agility (Ahsan and Ngo-Ye, 2005;…”
• Data governance: Organizing data for trustworthy Artificial Intelligence (2020, neutral): “In any case, designing data governance requires stepping back from the daily routine (Khatri & Brown, 2010).”
• A Survey on Deep Learning in Big Data (2017, background): “There are many open research topics in this field like best decision-making mechanism, reduction of operational friction [43].”