Regulatory Framework around Data Governance and External BenchmarkingSource: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2022:;Volume ( 014 ):;issue: 002::page 04522006DOI: 10.1061/(ASCE)LA.1943-4170.0000526Publisher: ASCE
Abstract: Regulatory compliance is a set of formal requirements, and lack of clarity on regulations can lead to significant legal and ethical consequences pertaining to collection, storage, or sharing of data among organizations. It can create ambiguity, or regulatory gaps around external benchmark frameworks employed to measure and compare performance among participating organizations. The purpose of this study is to review current US laws and regulations and governing case law concerning data governance, and to aid examination of the framework of federal antitrust and Safe Harbor rules around benchmarking and data warehousing. This study explores gaps between academic research and formal requirements for data governance and benchmarking in the federal space. A systematic review of the literature, federal laws, agency regulations, and relevant case law was conducted to further organize the relevance of the literature in the academic, federal, and legal domains. A quantitative approach was adopted wherein academic scores of relevance (SoR), a legislative score of relevance (LoR), and an overall ranked score of relevance (RoR) were calculated. Guidance on business implications around data governance frameworks is provided to academic and industry professionals engaged in data sharing and analytics.
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contributor author | Vivek Sharma | |
contributor author | Ehsan Mousavi | |
contributor author | Dhaval Gajjar | |
contributor author | Kapil Madathil | |
contributor author | Chris Smith | |
contributor author | Nathan Matos | |
date accessioned | 2022-05-07T19:52:48Z | |
date available | 2022-05-07T19:52:48Z | |
date issued | 2022-02-14 | |
identifier other | (ASCE)LA.1943-4170.0000526.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4281770 | |
description abstract | Regulatory compliance is a set of formal requirements, and lack of clarity on regulations can lead to significant legal and ethical consequences pertaining to collection, storage, or sharing of data among organizations. It can create ambiguity, or regulatory gaps around external benchmark frameworks employed to measure and compare performance among participating organizations. The purpose of this study is to review current US laws and regulations and governing case law concerning data governance, and to aid examination of the framework of federal antitrust and Safe Harbor rules around benchmarking and data warehousing. This study explores gaps between academic research and formal requirements for data governance and benchmarking in the federal space. A systematic review of the literature, federal laws, agency regulations, and relevant case law was conducted to further organize the relevance of the literature in the academic, federal, and legal domains. A quantitative approach was adopted wherein academic scores of relevance (SoR), a legislative score of relevance (LoR), and an overall ranked score of relevance (RoR) were calculated. Guidance on business implications around data governance frameworks is provided to academic and industry professionals engaged in data sharing and analytics. | |
publisher | ASCE | |
title | Regulatory Framework around Data Governance and External Benchmarking | |
type | Journal Paper | |
journal volume | 14 | |
journal issue | 2 | |
journal title | Journal of Legal Affairs and Dispute Resolution in Engineering and Construction | |
identifier doi | 10.1061/(ASCE)LA.1943-4170.0000526 | |
journal fristpage | 04522006 | |
journal lastpage | 04522006-14 | |
page | 14 | |
tree | Journal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2022:;Volume ( 014 ):;issue: 002 | |
contenttype | Fulltext |