21. Quality control of protein reagents for the improvement of research data reproducibilityArio De Marco, Nick Berrow, Mario Lebendiker, Maria Garcia-Alai, Stefan H. Knauer, Blanca Lopez-Mendez, Andre Matagne, Annabel Parret, Kim Remans, Stephan Uebel, Bertrand Raynal, 2021, other scientific articles Keywords: protein quality, protein aggregation, data reproducibility
Published in RUNG: 17.05.2021; Views: 2937; Downloads: 14
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22. Long-term ozone data analysisVjera Butković, Tomislav Cvitaš, Katja Džepina, Nenad Kezele, Leo Klasinc, 2002, original scientific article Abstract: Various approaches to the analysis of 10-year continuous ozone monitoring from the EUROTRAC-TOR network station Puntijarka near Zagreb are reported. The site has a rural character (45.90degrees N; 15.97degrees E, 980 m a.s.l.) and is representative of the lower troposphere of a wider region. Mean hourly ozone volume fractions measured from 1990-1999, autocorrelation plots for all data and for data for summer periods (May-Sep.), box and whiskers representations of diurnal variations during winter (Nov.-March) and summer periods, mean monthly values and 12-month moving averages, and the Fourier transform of the complete set of 94,248 hourly mean ozone volume fractions are discussed. The data show no increase, or possibly a slight decrease, of the ozone volume fraction toward the end of the decade.
Keywords: long term ozone data, fourier analysis, ozone trend analysis, Puntijarka field station
Published in RUNG: 12.04.2021; Views: 3049; Downloads: 0
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23. Measuring data quality across open government datasetsRajan Gupta, Sushmita Yadav, Avinash Prasad, Saibal K. Pal, 2019, published scientific conference contribution Abstract: Data Quality has become the base for any analytical operation or modelling. Poor Quality of data can lead to poor analytical modeling, which in turn can lead to poor decision making and predictions, which can finally impact the revenue and working of an organization. This is true for both public and private sector organizations. With rise in E-Governance, lot of nations and their respective public sector units are making use of publicly available datasets. But are these datasets reliable and have good quality. This is the major research question studied in this paper. The study collected publicly available datasets from Open Government Data platforms across 8 different nations around the world. More than 300 datasets having roughly 3.5 million rows were assessed for various data quality measures. The various parameters studied for the data were valid data types, correctness, completeness, statistical features, variability, comparability, duplicacy and the likes. Script was written in R to check the value for various measures. It was found that different countries had advantages on different parameters. Not one country was found to have all the parameters to be of high quality. Different ranges were found for the dataset for various parameters which was helpful in determining the overall quality of the dataset. This will be helpful for various public and private sector organizations in assessing the quality of datasets they intend to work on. Substantial efforts and resources can be saved on Advanced Analytics if the quality of dataset can be determined in advance. The proposed data quality assessment model can be applied on any private or public dataset. Different industry and organizations can set different threshold values for the parameters to benchmark their analytical process. Both practitioners and researchers can be benefitted from this research work.
Keywords: data quality assessment, open government datasets, e-governance, data quality measures
Published in RUNG: 05.04.2021; Views: 2995; Downloads: 0
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24. Technological and analytical review of contact tracing apps for COVID-19 managementRajan Gupta, Gaurav Pandey, Poonam Chaudhary, Saibal K. Pal, 2021, original scientific article Abstract: Role of technology is improving for COVID-19 management all around the world. Usage of mobile applications, web applications, cloud computing, and related technologies have helped many public administrators worldwide manage the current pandemic. Contact tracing applications are such mobile app solutions that are used by more than 100 countries today. This study presents a structured research review-based framework related to multiple contact tracing applications. The various components of the framework are related to technological working, design architecture, and feature analysis of the applications, along with the analysis of the acceptance of such applications worldwide. Also, components focusing on the security features and analysis of these applications based on Data Privacy, Security Vetting, and different attacks have been included in the research framework. Many applications are yet to explore the analytical capabilities of the data generated through contact tracing. The various use-cases identified for these applications are detecting positive case probability, identifying a containment zone in the country, finding regional hotspots, monitoring public events & gatherings, identifying sensitive routes, and allocating resources in various regions during the pandemic. This study will act as a guide for the users researching contact tracings applications using the proposed four-layered framework for their app assessment.
Keywords: novel corona virus, location technology, contact tracing applications, Aarogya Setu App, data science, data analysis
Published in RUNG: 02.04.2021; Views: 2898; Downloads: 0
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25. Technology applications for health safety decision making under COVID-19 pandemic managementRajan Gupta, Saibal K. Pal, Aayush Khattar, King Baliyan, 2020, published scientific conference contribution Abstract: A lot of new technological applications are emerging to combat the deadly novel coronavirus. This research study gives an overview of different applications that are developed by Government Institutions, Private Firms, and Individual Citizens across the world. The applications are reviewed based on their widespread use, effectiveness, availability to the broader audience, cost to implement it, concerns regarding the privacy and information collected by these apps and systems. The major eight areas of technology applications covered in this study are Contact Tracing, Social Distancing & Mask Detection, Live-feeds based Dashboards, Information Searching, Big Data and Robotics, Web-based Disease Surveillance Tools, Patient-level Information, Doctor-Patient interaction, and Informatory Chatbots. More than 100 apps were collected for this research survey to conclude the
different categories in which technology is being used for decision making. This study will be useful for various health
administrators, professionals, researchers, and academicians.
Keywords: COVID-19, coronavirus, technology applications, contact tracing, social distancing, chatbots, data lakes
Published in RUNG: 02.04.2021; Views: 3552; Downloads: 81
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26. Web mining and analytics for improving e-government services in IndiaRajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2017, independent scientific component part or a chapter in a monograph Abstract: The ever increasing technology usage and the globalization have given rise to the need of quick, accurate and smarter handling of information by organizations, states, nations and the entire globe. For every nation to be under any form of government, it became mandatory to have shorter turnaround time for their interactions with citizens. This pressure gave rise to the concept of e-Governance. It has been implemented by various nations and even UN reported an increase in E-Governance activities around the world. However, the major problems that need to be addressed by developing nations are digital divide and lack of e-Infrastructure. India started its e-Governance plan through a proposal in 2006 with establishment of National e-Governance Plan popularly known as NeGP headed by Ministry of Communications and Information Technology, Government of India. As per the Electronic Transaction and Aggregation Layer, millions of transactions are taking place on regular basis. Within 2015 itself, over 2 billion transactions have been carried out by the Indian citizens in various categories and sectors like agriculture, health, and the likes. For central government projects alone, around 980 million electronic transactions have taken place, while for state government projects, the combined total of all the states is close to 1.2 billion. With the kind of data getting generated through e-Governance initiative in India, it will open up lot of opportunities for data analysts & mining experts to explore this data and generate insights out of them. The aim of this chapter is to introduce various areas and sectors in India where analytics can be applied for e-Governance related entities like citizens, corporate and government departments. It will be useful for researchers, academicians and students to understand various areas in E-Governance where web mining and data analysis can be applied. The theoretical background has been supported by practical case study for better understanding of the concepts of web analysis and mining in the area of E-Governance.
Keywords: web mining, data mining, e-governance, analytics, data science, public sector
Published in RUNG: 01.04.2021; Views: 2973; Downloads: 61
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27. Citizen relationship management by the Government of India through social media channelsSaibal K. Pal, Sunil K. Muttoo, 2018, independent scientific component part or a chapter in a monograph Abstract: This chapter outlines how Citizen Relationship Management (CRM), a concept derived from the more commonly known Customer Relationship Management, can enable a government to create awareness among citizens about the myriad of services provided by the public sector. The system also helps in attracting and recording responses from the citizens, thereby enabling government employees in responding to citizens’ concerns via social media.
Keywords: citizen relationship management, e-governance, social media, politics, data science
Published in RUNG: 31.03.2021; Views: 3086; Downloads: 0
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28. Data analytics for better branding of e-governance and e-business systems : case of "digital India" campaignRajan Gupta, Saibal K. Pal, Sunil K. Muttoo, 2020, independent scientific component part or a chapter in a monograph Abstract: Efficient e-governance leads to stronger democracy which can be achieved through higher trust, visibility, and transparency in the system, which can be acquired through effective branding. Various techniques of data analytics can help in achieving trust
and transparency in the system. The objective of the study is to resolve various issues in the public sector through analytics-based improvement of different parameters of branding, namely, communication, consistency, clarity, and competition. The research design of the study is a combination of both qualitative and quantitative techniques like descriptive statistics. The main techniques emerged for data analysis includes rating and ranking analysis of government apps, social media analytics, text and
speech analytics, media analytics, statistical analytics and data mining, telecom analytics, and people demographics for government programs. It was found that the “Digital India” campaign under e-governance initiative was highly successful based on different kinds of analytical methods found in the study.
Keywords: e-governance, data analytics, e-business, business systems, information systems, government campaigns, branding
Published in RUNG: 31.03.2021; Views: 3027; Downloads: 14
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29. Dynamics of sunspot series on time scales from days to years : correlation of sunspot births, variable lifetimes, and evolution of the high-frequency spectral componentAlexander Shapoval, Jean-Louis Le Mouël, M. Shnirman, Vincent Courtillot, 2017, original scientific article Keywords: sunspots series, average lifetime, average birthrate, data analysis
Published in RUNG: 30.03.2021; Views: 2785; Downloads: 105
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