scholarly journals Critical Factors In Data Governance For Learning Analytics

2014 ◽  
Vol 1 (3) ◽  
pp. 211-222 ◽  
Author(s):  
Noureddine Elouazizi
Keyword(s):  
Decision Making ◽  
Learning Analytics ◽  
Data Sets ◽  
Critical Factors ◽  
Data Governance ◽  
Governance Model ◽  
Governance Models ◽  
Context Of Learning ◽  
Modeling Data ◽  
High Level

This paper identifies some of the main challenges of data governance modeling in the context of learning analytics for higher education institutions, and discusses the critical factors for designing data governance models for learning analytics. It identifies three fundamental common challenges that cut across any learning analytics data governance model, viz., the ownership of the learning analytics data sets, its interpretation and the enacting of decision-making on the basis of this learning analytics data. It also proposes a set of high-level requirements that are necessary for modeling data governance for learning analytics.  

scholarly journals Alternative personal data governance models

2019 ◽  
Author(s):  
Bastian Greshake Tzovaras ◽  
Mad Price Ball
Keyword(s):  
Artificial Intelligence ◽  
Data Exchange ◽  
Personal Data ◽  
Training Data ◽  
Data Sets ◽  
Data Governance ◽  
Forthcoming Book ◽  
Governance Strategies ◽  
Governance Models ◽  
Self Driving Cars

The not-so-secret ingredient that underlies all successful Artificial Intelligence / Machine Learning (AI/ML) methods is training data. There would be no facial recognition, no targeted advertisements and no self-driving cars if it was not for large enough data sets with which those algorithms have been trained to perform their tasks. Given how central these data sets are, important ethics questions arise: How is data collection performed? And how do we govern its' use? This chapter – part of a forthcoming book – looks at why new data governance strategies are needed; investigates the relation of different data governance models to historic consent approaches; and compares different implementations of personal data exchange models.

scholarly journals Orchestrating learning analytics (OrLA): Supporting inter-stakeholder communication about adoption of learning analytics at the classroom level

2019 ◽  
Vol 35 (4) ◽  
Author(s):  
Luis P. Prieto ◽  
María Jesús Rodríguez-Triana ◽  
Roberto Martínez-Maldonado ◽  
Yannis Dimitriadis ◽  
Dragan Gašević
Keyword(s):  
Decision Making ◽  
Classroom Practice ◽  
Learning Analytics ◽  
Communication Tool ◽  
Critical Factors ◽  
Knowledge Gaps ◽  
Everyday Classroom ◽  
Stakeholder Communication ◽  
Classroom Level ◽  
Classroom Orchestration

Despite the recent surge of interest in learning analytics (LA), their adoption in everyday classroom practice is still slow. Knowledge gaps and lack of inter-stakeholder communication (particularly with educational practitioners) have been posited as critical factors for previous LA adoption failures. Yet, what issues should researchers, practitioners and other actors communicate about, when considering the adoption of an LA innovation in a particular context? We reviewed and synthesised existing literature on four focus areas related to LA, their adoption, implications for practice, and more general factors that have emerged as crucial when studying everyday classroom adoption of technologies (i.e., classroom orchestration). This synthesis resulted in two conversational frameworks and an inter-stakeholder communication tool. These can be used to guide and support conversations and decision-making about the adoption of LA innovations. We illustrate their usefulness with examples of use in ongoing LA adoption processes in Australia, Spain and Estonia.

scholarly journals Towards Big data Governance in Cybersecurity

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Longzhi Yang ◽  
Jie Li ◽  
Noe Elisa ◽  
Tom Prickett ◽  
Fei Chao
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Access ◽  
Quality Data ◽  
Data Sets ◽  
Data Governance ◽  
Business Decisions ◽  
Regulatory Frameworks ◽  
Big Data Technologies ◽  
Cooperative Decision Making

AbstractBig data refers to large complex structured or unstructured data sets. Big data technologies enable organisations to generate, collect, manage, analyse, and visualise big data sets, and provide insights to inform diagnosis, prediction, or other decision-making tasks. One of the critical concerns in handling big data is the adoption of appropriate big data governance frameworks to (1) curate big data in a required manner to support quality data access for effective machine learning and (2) ensure the framework regulates the storage and processing of the data from providers and users in a trustworthy way within the related regulatory frameworks (both legally and ethically). This paper proposes a framework of big data governance that guides organisations to make better data-informed business decisions within the related regularity framework, with close attention paid to data security, privacy, and accessibility. In order to demonstrate this process, the work also presents an example implementation of the framework based on the case study of big data governance in cybersecurity. This framework has the potential to guide the management of big data in different organisations for information sharing and cooperative decision-making.

scholarly journals Orchestrating Learning Analytics (OrLA): supporting the adoption of learning analytics at the practitioner level

2018 ◽  
Author(s):  
Luis P. Prieto ◽  
María Jesús Rodríguez-Triana ◽  
Roberto Martínez-Maldonado ◽  
Yannis Dimitriadis ◽  
Dragan Gasevic
Keyword(s):  
Decision Making ◽  
Educational Technology ◽  
Learning Analytics ◽  
Critical Factors ◽  
Conceptual Frameworks ◽  
Knowledge Gaps ◽  
Educational Activities ◽  
Complex Process ◽  
Stakeholder Communication ◽  
Classroom Level

Despite the recent surge of research in learning analytics (LA), its adoption still is a slow and complex process. Previous research has identified the knowledge gaps and communication among different stakeholders (especially, at the practitioner level) as critical factors for successful adoption of LA innovations. This paper aims to address these issues through the recognition that limited adoption at the practitioner level is not particular to LA technology. Under the label “orchestration”, educational technology researchers have tried to refocus their work to emphasize the classroom-level constraints faced in everyday educational activities, in order to favor adoption. In this paper, we review both the learning analytics and orchestration literature to elicit the main aspects to consider in inter-stakeholder communication about the adoption of LA at the practitioner level. As a result of this review, we propose conceptual frameworks organizing these issues, and tools to support inter-stakeholder communication about LA adoption. We also provide examples that illustrate how researchers and practitioners are using these frameworks and tools to focus communication and decision-making during the adoption of LA innovations in Australia, Spain and Estonia.

Measured response of instrumented buildings during the 2013 Cook Strait earthquake sequence

2015 ◽  
Vol 48 (4) ◽  
pp. 223-234 ◽  
Author(s):  
Gye Simkin ◽  
Sherif Beskhyroun ◽  
Quincy Ma ◽  
Liam Wotherspoon ◽  
Jason Ingham
Keyword(s):  
Decision Making ◽  
New Zealand ◽  
Low Cost ◽  
Building Performance ◽  
Data Sets ◽  
Earthquake Activity ◽  
Reliable Determination ◽  
Cook Strait ◽  
High Level ◽  
Instrumented Buildings

With the recent high level of earthquake activity throughout New Zealand there is growing awareness of the need for quick and reliable determination of whether buildings are safe. In parallel, on-going advances in sensors and computing technology have resulted in the potential for new and innovative sensing systems which could change the way that civil infrastructure is monitored, controlled and maintained. Following the 21 July 2013, MW 6.5 Cook Strait earthquakes, seven buildings in the Wellington region were instrumented with low-cost accelerometers to record building response data sets during aftershock excitations. A summary of the data analyses and insightful information obtained through processing and interpretation of the raw data is presented. Key challenges and considerations of installing a permanent structural monitoring system into buildings in New Zealand are discussed. The goal was to relate building performance indicators to decision making processes regarding the safety and resilience of structures post-earthquake. The information obtained was sufficiently reliable and valuable to the decision making process and New Zealand can expect more permanently instrumented buildings in the future.

Data governance for public transparency

2021 ◽  
Author(s):  
Agustí Cerrillo-Martínez ◽  
Anahí Casadesús-de-Mingo
Keyword(s):  
Decision Making ◽  
Data Management ◽  
Organizational Structure ◽  
Government Agencies ◽  
Data Governance ◽  
Public Data ◽  
Governance Models

Public transparency is becoming increasingly complex due to the volume of data generated by government, the plurality of uses given to public data, their dispersal over different organizations, bodies and units and the diversity of mecha­nisms through which they are channelled. All this requires government agencies not only to improve data management but also to adopt procedures and structures that facilitate decision-making regarding data’s use and quality. In this context, this study defines data governance as the set of principles, values and standards that guide interaction in decision-making among stakeholders who create, manage and use data. This study uses the analysis of three data governance cases to identify the defining characteristics of data governance (data governance’s design, the institutional position on data governance in the organizational structure, the stakeholders involved in data governance, the interaction channels provided and the functions attributed to them). Based on these elements, three models of data governance promoted by government agencies are observed. In the light of the data governance models analysed, the final reflection identifies how data governance can contribute to improve public transparency.

scholarly journals eGovernance frameworks for successful citizen use of online services: A Danish-Japanese comparative analysis

2017 ◽  
Vol 9 (2) ◽  
pp. 68-109 ◽  
Author(s):  
Morten Meyerhoff Nielsen
Keyword(s):  
Decision Making ◽  
Public Sector ◽  
Service Delivery ◽  
Holistic Approach ◽  
Online Services ◽  
Governance Model ◽  
Cooperation Model ◽  
High Level ◽  
Governmental Cooperation

The use of Information Communication Technology (ICT) by the public sector is often highlighted as a key tool for the transformation of public sector service delivery. Recent literature reviews have highlighted the limited understanding of the role played by governance, inter-governmental decision making and cooperation when introducing ICT solutions and online services to citizens. As part of a larger qualitative, multi-country comparison, this article compares the Danish and Japanese approaches to electronic governance (eGovernance) and inter-governmental cooperation to answer the question: Does a strong governance model and high level of intergovernmental action lead to the successful supply and use of online citizen services? The analysis finds that the two cases support academic arguments in favour of a strong eGovernance model and a high level of inter-governmental cooperation and decision making.  The article finds that a political- or public sector-driven and motivated public sector modernisation, a consensus seeking and an inter-governmental approach to eGovernment, trust between actors, and the role of formal and informal are important determinants for success, as illustrated by the continued strength of the Danish governance and joint-governmental cooperation model over the more fragmented Japanese approach. Still, both countries would benefit from a more holistic approach to service delivery, process, and organisational reengineering in order to progress further.The analysis finds that the two cases support academic arguments in favour of a strong eGovernance model and a high level of inter-governmental cooperation and decision making.  The article finds that a political- or public sector-driven and motivated public sector modernisation, a consensus seeking and an inter-governmental approach to eGovernment, trust between actors, and the role of formal and informal are important determinants for success, as illustrated by the continued strength of the Danish governance and joint-governmental cooperation model over the more fragmented Japanese approach. Still, both countries would benefit from a more holistic approach to service delivery, process, and organisational reengineering in order to progress further. 

Radiological safety and assessment of the performance of X-ray systems in veterinary facilities

2020 ◽  
Author(s):  
S. Economides ◽  
C.J. Hourdakis ◽  
C. Pafilis ◽  
G. Simantirakis ◽  
P. Tritakis ◽  
...  
Keyword(s):  
Decision Making ◽  
Radiation Protection ◽  
Atomic Energy Commission ◽  
Atomic Energy ◽  
Regulatory Control ◽  
Continuous Training ◽  
X Ray ◽  
The Public ◽  
Radiological Safety ◽  
High Level

This paper concerns an analysis regarding the performance of X-ray equipment as well as the radiological safety in veterinary facilities. Data were collected from 380 X-ray veterinary facilities countrywide during the on-site regulatory inspections carried out by the Greek Atomic Energy Commission. The analysis of the results shows that the majority of the veterinary radiographic systems perform within the acceptable limits; moreover, the design and shielding of X-ray rooms as well as the applied procedures ensure a high level of radiological safety for the practitioners, operators and the members of the public. An issue that requires specific attention in the optimization process for the proper implementation of veterinary radiology practices in terms of radiological safety is the continuous training of the personnel. The above findings and the regulatory experience gained were valuable decision-making elements regarding the type of the regulatory control of veterinary radiology practices in the new radiation protection framework.

Decision making power of college girls in relation to clothing

2018 ◽  
Vol 9 (01) ◽  
Author(s):  
Parul Gill ◽  
Poonam Malik ◽  
Pankaj Gill
Keyword(s):  
Decision Making ◽  
Satisfaction Level ◽  
College Going ◽  
Level Of Satisfaction ◽  
High Level ◽  
Garment Design ◽  
Structured Questionnaire

The present study was undertaken to explore the decision making patterns of college girls in relation to clothing and their satisfaction level with these decision making patterns. Thirty under graduate college girls from Panipat city were approached to record their responses regarding decision making in relation to clothing and satisfaction level through a well structured questionnaire. It was found that most of the girls (56.66%) themselves made the decisions about the type of garment (Indian, western or both) they wear and majority of girls (70%) were highly satisfied with this decision making. Parents performed the role of buyers for their college going daughters' garments in most of the cases (63.33%) and the 73.33% girls had high level of satisfaction with this. In most of the cases (60%) the decision about the garment design was made by the girls themselves and they were highly satisfied with it. Keywords: clothing, college, girls, decision making.

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