scholarly journals Acceptance of data sharing in smartphone apps from key industries of the digital transformation: A representative population survey for Germany

2022 ◽  
Vol 176 ◽  
pp. 121459
Author(s):  
Janis Cloos ◽  
Svenja Mohr
Keyword(s):  
Data Sharing ◽  
Population Survey ◽  
Digital Transformation ◽  
Smartphone Apps ◽  
Key Industries

Age Doesn't Matter: Digitizing the as-is Condition of Brownfield Assets is Part of a Leaner & Greener Future

2021 ◽  
Author(s):  
Lee Tedstone
Keyword(s):  
Data Sharing ◽  
Oil And Gas ◽  
Critical Path ◽  
Business Case ◽  
Digital Transformation ◽  
Competitive Market ◽  
Skilled Workers ◽  
Sustainability Performance ◽  
Digital Twin ◽  
Oil And Gas Sector

Abstract The energy sector is facing more challenges than ever before – from the impacts of the pandemic on already low margins, to Environmental, Social and Governance pressures mounting to gain investment and attract skilled workers in a competitive market. Over past year, the oil and gas sector has accelerated a critical path to digital transformation, paving its way to a more agile, greener future. Data-sharing and collaboration enabled through the Digital Twin helps companies drive efficiency, which in turn creates opportunities to improve sustainability performance, even on legacy assets. This presentation will demonstrate how moving to Digital Twin technology is a viable brownfield solution to many of the industries pressing challenges today. It will also make the business case for how digitalization and digital twin connectivity are not only possible on a brownfield asset but also, why it is critical to meet the needs of the plant of the future.

scholarly journals A model for contextual data sharing in smartphone applications

2016 ◽  
Vol 12 (3) ◽  
pp. 310-331 ◽  
Author(s):  
Harshvardhan Jitendra Pandit ◽  
Adrian O’Riordan
Keyword(s):  
Data Sharing ◽  
Contextual Information ◽  
Cloud Services ◽  
Smartphone Apps ◽  
Smartphone Applications ◽  
Contextual Data ◽  
New Approach ◽  
Content Type ◽  
User Input ◽  
Practical Implications

Purpose The purpose of this paper is to introduce a model for identifying, storing and sharing contextual information across smartphone apps that uses the native device services. The authors present the idea of using user input and interaction within an app as contextual information, and how each app can identify and store contextual information. Design/methodology/approach Contexts are modeled as hierarchical objects that can be stored and shared by applications using native mechanisms. A proof-of-concept implementation of the model for the Android platform demonstrates contexts modelled as hierarchical objects stored and shared by applications using native mechanisms. Findings The model was found to be practically viable by implemented sample apps that share context and through a performance analysis of the system. Practical implications The contextual data-sharing model enables the creation of smart apps and services without being tied to any vendor’s cloud services. Originality/value This paper introduces a new approach for sharing context in smartphone applications that does not require cloud services.

scholarly journals Assessment of the Data Sharing and Privacy Practices of Smartphone Apps for Depression and Smoking Cessation

2019 ◽  
Vol 2 (4) ◽  
pp. e192542 ◽  
Author(s):  
Kit Huckvale ◽  
John Torous ◽  
Mark E. Larsen
Keyword(s):  
Smoking Cessation ◽  
Data Sharing ◽  
Smartphone Apps

scholarly journals Data Science Applications in Pandemic: A survey on COVID-19 Outbreak Tools

2021 ◽  
Author(s):  
Amal Alzhrani ◽  
Ahmad salem Almalki
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Data Science ◽  
Digital Transformation ◽  
Smartphone Apps ◽  
Multiple Data ◽  
The World ◽  
Vision 2030

Abstract While the world steps backward, Saudi Arabia took two steps forward. the Saudi Vision 2030 framework was launched in 2017 to create digital transformation in the various sector to improve the quality of life. The COVID-19 has made it possible to promote and test the strength of digital transformation and adoption. In Saudi Arabia, the use of artificial intelligence applications to integrate multiple data sources across potential outbreaks should be further discussed. Decreasing the number of smartphone apps and combining their features may also improve and encourage their use. In this paper, in this paper we present an exhaustive survey on COVID-19 outbreak tools/apps and the role of Saudi Data and Artificial Intelligence Authority (SDAIA).

A system of indicators of digital transformation of the Russian Federation

2021 ◽  
Vol 20 (6) ◽  
pp. 1085-1103
Author(s):  
Valentina N. EDRONOVA
Keyword(s):  
Russian Federation ◽  
Systems Approach ◽  
Digital Transformation ◽  
Statistical Research ◽  
Development Indicators ◽  
Calculation Methodology ◽  
Digital Development ◽  
Scientific Principles ◽  
The Russian Federation ◽  
Key Industries

Subject. The article provides a comprehensive description of domestic approaches to and methods for building a system of indicators of digital development in Russia, an analysis of methods for calculating indicators of digitalization of the country, the subjects of the Russian Federation, and the key industries, based on growth targets from the standpoint of principles and methodology of statistical research. Objectives. The focus is on reviewing the principles of creating a system of digital development indicators; analyzing the system of initial indicators of domestic digital development indices; studying the methods for assessing the digital transformation of Russia. Methods. The paper draws on methods of systems approach, comparative analysis of methods for collecting, systematizing and processing data, used in domestic studies on digital development indices. Results. I review the methods for calculating domestic digital development indices in Russia and regions; determining the specifics of the index calculation methodology; formulating the principles for building a system of indicators for calculating the digitalization indices from the standpoint of the formulated principles. The findings can be used in further research in the field of comparative assessment of the digital development of Russia and its regions. Conclusions. The disadvantage of the research approaches is the lack of quantitative targets for digital development in general, and for individual industries and areas, in particular. The building of the system of indicators meets the scientific principles of quantitative assessment of socio-economic phenomena.

Associations Between Informal Caregivers’ Burden and Educational Level

GeroPsych ◽  
2019 ◽  
Vol 32 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Monika Oedekoven ◽  
Katja Amin-Kotb ◽  
Paul Gellert ◽  
Klaus Balke ◽  
Adelheid Kuhlmey ◽  
...  
Keyword(s):  
Support Services ◽  
Educational Level ◽  
Autonomy Support ◽  
Population Survey ◽  
Multivariate Analyses ◽  
Informal Caregivers ◽  
Loss Of Self ◽  
Perceived Burden ◽  
Result Show ◽  
Care Situation

Abstract. We investigated the association between the education of informal caregivers’ (IC) and their physical and mental burden. We hypothesized that better-educated IC would have more resources available to manage the care situation and as a result show lower perceived burden. We conducted a population survey of 6,087 German residents aged 18+ years, 966 of whom reported to be IC. Results show that IC felt more often mentally than physically burdened. In the multivariate analyses, higher-educated IC did not have lower odds of feeling physically burdened than lower-educated IC, though they did have increased odds of feeling mentally burdened. The higher perceived mental burden of higher-educated IC may be related to fear of loss of self-fulfilment and autonomy. Support services should consider the mental burden of higher-educated IC and tailor their interventions accordingly.

But what do participants want? Comment on the “Data Sharing in Psychology” special section (2018).

2019 ◽  
Vol 74 (2) ◽  
pp. 245-247 ◽  
Author(s):  
Jorden A. Cummings ◽  
T. Eugene Day
Keyword(s):  
Data Sharing ◽  
Special Section
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