Research on big data governance based on actor-network theory and Petri nets

Zhang, Shaohua; Gao, Hongmei; Yang, Lin; Song, Jundian

doi:10.1109/cscwd.2017.8066723

Cited by 9 publications

(9 citation statements)

References 3 publications

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“…The need to identify the types of stakeholders that directly or indirectly affect or are directly or indirectly impacted by data decision domains (described in the previous section) with regards to non-personal data is unavoidable in discussions related to data governance. As the first step, one must be cognizant of the key human and non-human actors both within and outside the organization [41]. The interactions between multiple actors have their roots in the actor-network theory (ANT), which is quite often utilized to analyze systems in the fields of social sciences, international relations, and information technology [42].…”

Section: Carving Out the Stakeholders Of Non-personal Datamentioning

confidence: 99%

“…The stakeholders that belong to the data governance framework are the participants that are involved in information sharing throughout the data supply chain management [46].Potential stakeholders range from manufacturers, software developers, service providers, business clients, information architects, data governance practitioners, metadata analysts, operations staff, and end-users [47]. Then there are non-human actors that interact with the above: policies and regulations, market demands, economic circumstances, semiotics, technological tools and infrastructure, inter alia [41].…”

Section: Carving Out the Stakeholders Of Non-personal Datamentioning

confidence: 99%

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Maritime Robotics and Autonomous Systems Operations: Exploring Pathways for Overcoming International Techno-Regulatory Data Barriers

Johansson¹,

Dalaklis²,

Pastra³

2021

JMSE

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The current regulatory landscape that applies to maritime service robotics, aptly termed as robotics and autonomous systems (RAS), is quite complex. When it comes to patents, there are multifarious considerations in relation to vessel survey, inspection, and maintenance processes under national and international law. Adherence is challenging, given that the traditional delivery methods are viewed as unsafe, strenuous, and laborious. Service robotics, namely micro aerial vehicles (MAVs) or drones, magnetic-wheeled crawlers (crawlers), and remotely operated vehicles (ROVs), function by relying on the architecture of the Internet of Robotic Things. The aforementioned are being introduced as time-saving apparatuses, accompanied by the promise to acquire concrete and sufficient data for the identification of vessel structural weaknesses with the highest level of accuracy to facilitate decision-making processes upon which temporary and permanent measures are contingent. Nonetheless, a noticeable critical issue associated with RAS effective deployment revolves around non-personal data governance, which comprises the main analytical focus of this research effort. The impetus behind this study stems from the need to enquire whether “data” provisions within the realm of international technological regulatory (techno-regulatory) framework is sufficient, well organized, and harmonized so that there are no current or future conflicts with promulgated theoretical dimensions of data that drive all subject matter-oriented actions. As is noted from the relevant expository research, the challenges are many. Engineering RAS to perfection is not the end-all and be-all. Collateral impediments must be avoided. A safety net needs to be devised to protect non-personal data. The results here indicate that established data decision dimensions call for data security and protection, as well as a consideration of ownership and liability details. An analysis of the state-of-the-art and the comparative results assert that the abovementioned remain neglected in the current international setting. The findings reveal specific data barriers within the existing international framework. The ways forward include strategic actions to remove data barriers towards overall efficacy of maritime RAS operations. The overall findings indicate that an effective transition to RAS operations requires optimizing the international regulatory framework for opening the pathways for effective RAS operations. Conclusions were drawn based on the premise that policy reform is inevitable in order to push the RAS agenda forward before the emanation of 6G and the era of the Internet of Everything, with harmonization and further standardization being very high priority issues.

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Section: Carving Out the Stakeholders Of Non-personal Datamentioning

confidence: 99%

Section: Carving Out the Stakeholders Of Non-personal Datamentioning

confidence: 99%

Maritime Robotics and Autonomous Systems Operations: Exploring Pathways for Overcoming International Techno-Regulatory Data Barriers

Johansson¹,

Dalaklis²,

Pastra³

2021

JMSE

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“…Esta técnica tem sido usada na modelagem de sistemas dinâmicos (Srinivasan e Venkatasubramanian, 1998;Li, Zhang e Zhao, 2007), incluindo as áreas relacionadas com protocolos de comunicação, algoritmos distribuídos, arquiteturas de computadores, interação homem/máquina (Elkoutbi e Keller, 1998;Zhang et al, 2017).…”

Section: Pfs/pnunclassified

“…Na camada "Business" estão as funcionalidades (elemento A4.6) responsáveis pela consulta as regras de operação dos ativos (Adolphs et al, 2015;NBD-PWG, 2015;Zhang et al, 2017). A Fig.…”

Section: Modelagem Em Pnunclassified

“…Em uma visão mais conceitual e genérica o sistema de big data envolve processos que podem ser vistos como de mesma natureza que os sistemas a eventos discretos (SEDs) (Chen, Li and Wang, 2015) de modo que técnicas de modelagem, análise e caracterização de soluções de controle de SEDs podem ser utilizadas. Assim, identifica-se um caminho para avaliar e aprimorar um sistema de big data para a I4.0, via técnicas como a rede de Petri (PN) e suas diversas extensões e interpretações como, o Production Flow Schema (PFS) e outras versões (Zhang et al, 2017).…”

Section: Introductionunclassified

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Modelagem e análise de uma arquitetura do sistema de aquisição de big data no contexto da Indústria 4.0

Coda

Pessoa

Filho

et al. 2020

Anais Do Congresso Brasileiro De Automática 2020

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A Indústria 4.0 (I4.0) é uma referência para uma revolução industrial baseada em novos paradigmas produtivos. Os novos paradigmas consideram a conectividade entre todos os ativos (equipamentos, máquinas, sensores, pessoas, sistemas), aumentando exponencialmente a quantidade de dados gerados, transmitidos e processados o que incrementa ainda mais a complexidade dos sistemas. Assim, a especificação de sistemas associados a esse ambiente de big data em especial no âmbito da I4.0 não é trivial e demanda novas soluções. Considerando que a coleta de dados é uma das atividades fundamentais desse sistema, apresenta-se aqui a modelagem e análise de uma arquitetura de um sistema de aquisição de big data. O estudo é baseado a técnica do PFS / PN (Production Flow Schema/Petri net), que conta com um formalismo adequado para descrever as funcionalidades do sistema, seus componentes e as relações entre estes.

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A Governing Framework for Data-Driven Small Organizations in Colombia

Heredia-Vizcaino

Bernal

2019

Advances in Intelligent Systems and Computing

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Research on big data governance based on actor-network theory and Petri nets

Cited by 9 publications

References 3 publications

Maritime Robotics and Autonomous Systems Operations: Exploring Pathways for Overcoming International Techno-Regulatory Data Barriers

Maritime Robotics and Autonomous Systems Operations: Exploring Pathways for Overcoming International Techno-Regulatory Data Barriers

Modelagem e análise de uma arquitetura do sistema de aquisição de big data no contexto da Indústria 4.0

A Governing Framework for Data-Driven Small Organizations in Colombia

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