scholarly journals Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way

2021 ◽  
Vol 5 (CSCW2) ◽  
pp. 1-43
Author(s):  
Rui Zhao ◽  
Malcolm Atkinson ◽  
Petros Papapanagiotou ◽  
Federica Magnoni ◽  
Jacques Fleuriot
Keyword(s):  
Data Governance ◽  
Rule Compliance

scholarly journals An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts

2021 ◽  
Author(s):  
Rui Zhao
Keyword(s):  
Formal Language ◽  
Data Flow ◽  
Situation Calculus ◽  
Data Governance ◽  
Data Intensive ◽  
Rule Compliance ◽  
Compliance Checking ◽  
Data Flow Graphs ◽  
Real World Datasets ◽  
Flow Graphs

We propose Dr.Aid, a logic-based AI framework for automated compliance checking of data governance rules over data-flow graphs. The rules are modelled using a formal language based on situation calculus and are suitable for decentralized contexts with multi-input-multi-output (MIMO) processes. Dr.Aid models data rules and flow rules and checks compliance by reasoning about the propagation, combination, modification and application of data rules over the data flow graphs. Our approach is driven and evaluated by real-world datasets using provenance graphs from data-intensive research.

Introducing a communication platform for accountable and transparent data processing in medical research (Preprint)

2021 ◽  
Author(s):  
Yuki Kuroda ◽  
Goshiro Yamamoto ◽  
Kazuya Okamoto ◽  
Tomohiro Kuroda
Keyword(s):  
Data Processing ◽  
Medical Research ◽  
Medical Data ◽  
Data Governance ◽  
Governance System ◽  
Communication Platform ◽  
Rule Compliance ◽  
Medical Data Processing ◽  
Medical Researchers ◽  
System Requirements

BACKGROUND Medical research for processing medical data is required to incorporate a governance system. Health data governance includes various elements. Among the values of governance, this study focuses on accountability and transparency. OBJECTIVE This paper proposes the system requirements for a communication platform to help medical researchers be accountable and transparent about medical data processing in medical research. METHODS We first examined accountability and transparency to find their shared bases and confirmed their importance by visiting medical research practices. Subsequently, we explored legal syllogism as the representative of rule compliance analysis to determine the system requirements to achieve the bases. RESULTS By examining accountability and transparency, we confirmed that these values were inherently vague but had two shared features– "organizing information" and "effective communication." Next, by analyzing the actual research process, we found that researchers needed to communicate effectively with legal and ethical experts to obtain appropriate support at the research planning phase. From these findings, the concept of a communication platform was derived. Through the analysis of the syllogism, we found three system requirements for the platform: (1) covering the entire chain of data processing activities; (2) being capable of recording relevant information for rule compliance analysis; and (3) being able to record compliance analysis results. CONCLUSIONS We introduced an example of a user interface in line with the discovered system requirements and discussed how our design can facilitate patients' and society's interests by empowering researchers to be accountable and transparent for their research. To support medical researchers to be accountable and transparent for their research, we proposed system requirements for a communication platform. CLINICALTRIAL N/A

A Study on the Introduction of Big Data Governance into Cultural Governance

2019 ◽  
Vol 41 (2) ◽  
pp. 75-106
Author(s):  
Sunyoung Kim ◽  
Byungwoong Kwon
Keyword(s):  
Big Data ◽  
Data Governance ◽  
Cultural Governance

Data Governance

2020 ◽  
pp. I-VIII
Author(s):  
Kristin Weber ◽  
Christiana Klingenberg
Keyword(s):  
Data Governance

A survey on cloud computing privacy and security compliances in health domain (Preprint)

2020 ◽  
Author(s):  
Zahra Zandesh
Keyword(s):  
Cloud Computing ◽  
New Paradigm ◽  
Data Governance ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Memory Space ◽  
Health Domain ◽  
Security Services ◽  
Cloud Compliance ◽  
Complicated Nature

BACKGROUND The complicated nature of cloud computing encompassing internet-based technologies and service models for delivering IT applications, processing capability, storage, and memory space and some notable features motivate organizations to migrate their core businesses to the cloud. Consequently, healthcare organizations are much interested to migrate to this new paradigm despite challenges about security, privacy and compliances issues. OBJECTIVE The present study was conducted to investigate all related cloud compliances in health domain in order to find gaps in this context. METHODS All works on cloud compliance issues were surveyed after 2013 in health domain in PubMed, Scopus, Web of Science, and IEEE Digital Library databases. RESULTS Totally, 36 compliances had been found in this domain used in different countries for a variety of purposes. Initially, all founded compliances were divided into three parts as well as five standards, twenty-eight legislations and three policies and guidelines each of which is presented here by in detail. CONCLUSIONS Then, some main headlines like compliance management, data management, data governance, information security services, medical ethics, and patients' rights were recommended in terms of any compliance or frameworks and their corresponding patterns which should be involved in this domain.

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