Refining Big Data

2017 ◽  
Vol 37 (4) ◽  
pp. 212-217
Author(s):  
Włodzimierz Gogołek
Keyword(s):  
Big Data ◽  
Information Sources ◽  
Wide Spectrum ◽  
Statistical Significance ◽  
Current Status ◽  
Research Subject ◽  
Sources Of Information ◽  
The Past ◽  
Social Scientific ◽  
The Web

Refining big data is a new multipurpose way to find, collect, and analyze information obtained from the web and off-line information sources about any research subject. It gives the opportunity to investigate (with an assumed level of statistical significance) the past and current status of information on a subject, and it can even predict the future. The refining of big data makes it possible to quantitatively investigate a wide spectrum of raw information on significant human issues—social, scientific, political, business, and others. Refining creates a space for new, rich sources of information and opens innovative ways for research. The article describes a procedure for refining big data and gives examples of its use.

scholarly journals When ‘Significant’ is not Significant

2014 ◽  
Vol 56 (5) ◽  
pp. 591-607 ◽  
Author(s):  
Rachel Kennedy ◽  
John Scriven ◽  
Magda Nenycz-Thiel
Keyword(s):  
Big Data ◽  
Market Research ◽  
Statistical Significance ◽  
Data Interpretation ◽  
Case Examples ◽  
The Past ◽  
Marketing Decision ◽  
Solid Foundation ◽  
The Right ◽  
Descriptive Models

Big data is here for some and coming for many. It promises access to new knowledge along with some challenges, but let's not forget the important lessons of the past to ensure that we are advancing knowledge and making the right decisions from the data we have. In this paper, we submit that marketing's emphasis on statistical significance is misplaced, especially in the new world of big data. We include case examples to demonstrate how statistical significance is easy to find, but not necessarily important. We will also discuss the alternative route for generating robust knowledge. Specifically, we espouse the tradition pioneered by Andrew Ehrenberg of Many Sets of Data (MSoD) and descriptive models as the way to advance marketing science, and as a solid foundation for data interpretation in market research studies. We offer insights for market research practitioners and marketers alike, to ensure they are getting the best from their data for robust marketing decision-making.

scholarly journals Big Data Characteristics (V’s) in Industry

2021 ◽  
Vol 8 (1) ◽  
pp. 1-9
Author(s):  
Nagham Saeed ◽  
Laden Husamaldin
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Daily Basis ◽  
Current Status ◽  
Multiple Channels ◽  
Industry Sector ◽  
The Past ◽  
General Scope ◽  
Over Time

In the new digital age, Data is the collection of the observation and facts in terms of events, thus data is continuously growing, getting denser and more varied by the minute across multiple channels. Nowadays, consumers generate mass amounts of data on a daily basis. Hence, Big Data (BD) emerged and is evolving rapidly, the various types of data being processed are huge, and ensuring that this data is being used efficiently is becoming increasingly more difficult. BD has been differentiated into several characteristics (the V’s) and many researchers have been developing more characteristics for new purposes over the past years. Therefore, it is shown from observation that there is a clear gap between researchers about the current status of the BD characteristics. Even after the introduction of newer characteristics, many papers are still proposing the use of 3 or 5 V’s, while some researchers are far more progressed and has reached up to 10V’s. This paper will provide an overview of the main characteristics that have been added over time and investigate the recent growth of Big Data Analytics (BDA) characteristics in each industry sector which will provide some detailed and general scope for most researchers to consider and learn from.

scholarly journals Integrating Social Scientific Perspectives on the Quantified Employee Self

2019 ◽  
Vol 8 (9) ◽  
pp. 262 ◽  
Author(s):  
Thomas Calvard
Keyword(s):  
Big Data ◽  
Data Science ◽  
Well Being ◽  
Quantified Self ◽  
Sources Of Information ◽  
Organizational Environments ◽  
Theoretical Perspectives ◽  
Power And Control ◽  
Social Scientific ◽  
And Control

A key technological trend in big data science is that of the quantified self, whereby individuals can self-track their health and well-being using various sources of information. The aim of this article was to integrate multidimensional views on the positive and negative implications of the quantified self for employees and workplaces. Relevant human and social scientific literature on the quantified (employee) self and self-tracking were drawn upon and organized into three main influential perspectives. Specifically, the article identified (1) psychological perspectives on quantified attitudes and behaviors, (2) sociological perspectives on sociomaterial user construction, and (3) critical theoretical perspectives on digital power and control. This article suggests that the three perspectives are complementary and can be usefully integrated into an embodied sensemaking perspective. Embodied sensemaking views the employee as a self-conscious user of big data seeking to make sense of their embeddedness in wider digital and organizational environments. This article concludes with implications for protecting employee agency in tension with employers’ big data strategies for governing and managing the performance of quantified digital employee selves.

Statistical significance in the era of big data

2019 ◽  
Vol 64 (11) ◽  
pp. 42-57
Author(s):  
Mirosław Szreder
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Statistical Significance ◽  
P Value ◽  
Data Sets ◽  
Sources Of Information ◽  
Bayesian Approaches ◽  
Statistical Hypotheses ◽  
Statistical Surveys ◽  
Verification Process

The development of new technologies has affected both the procedures of traditional statistical surveys and the perception of their results in the light of other availa-ble sources of information. In this connection, the roleof the verification of statistical hypotheses and of the interpretation and presentation of its results, including the use of statistical significance and p-value, has recently returned as a frequent topic for discussion among the scientific community. The author was inspired to write this paper by a wave of discussion regarding this matter held at the beginning of 2019 in the Natureand The American Statistician journals. The aim of the paper is to present the opportunities provided and challenges posedby the use of big data to the hypothesis verification process and to statistical inference, both in the traditional and Bayesian approaches. The author explains the necessity of discontinuing adopting excessivesimplifications while performing statisticalinference and pre-senting the results of the verification of hypotheses. This involves both the postulate to pay greater attention tothe quality of sampling data, especially in the case of data originating from big data sets, as well as the postulate to providefull information about the statistical model on the basis of which the inference is being performed.

Advances In Asthma Care

2003 ◽  
Vol 1 (1) ◽  
pp. 87-90 ◽  
Author(s):  
Chris Garvey
Keyword(s):  
Healthcare Costs ◽  
Professional Organizations ◽  
Current Status ◽  
Asthma Care ◽  
Advanced Level ◽  
Clinical Criteria ◽  
Asthma Knowledge ◽  
The Past ◽  
The Us ◽  
Examination Process

Asthma rates in the US have risen during the past 25 years, as have asthma-related morbidity and healthcare costs. Professional organizations involved in asthma care have identified the need to assure that an advanced level of asthma knowledge and skill is available to patients with asthma, their families, and insurers. This need led to development of the certification for asthma educators. The Certified Asthma Educator (AE-C) must meet specific clinical criteria and pass a standardized examination designed to evaluate knowledge and skill for providing competent asthma education and coordination. The development and current status of the Certified Asthma Educator examination process and content are discussed, as are goals of the certification

Impact of microRNAs on molecular epidemiology

2011 ◽  
Vol 152 (16) ◽  
pp. 633-641 ◽  
Author(s):  
Katalin Gőcze ◽  
Katalin Gombos ◽  
Gábor Pajkos ◽  
Ingrid Magda ◽  
Ágoston Ember ◽  
...  
Keyword(s):  
Functional Analysis ◽  
Cancer Research ◽  
Molecular Epidemiology ◽  
Wide Spectrum ◽  
Translation Regulation ◽  
Rna Sequences ◽  
Serum Mirna ◽  
The Past ◽  
Non Coding Rna ◽  
Free Serum

Cancer research concerning short non-coding RNA sequences and functionally linked to RNA interference (RNAi) have reached explosive breakthrough in the past decade. Molecular technology applies microRNA in extremely wide spectrum from molecular tumor prediction, diagnostics, progression monitoring and prevention. Functional analysis of tissue miRNA and cell-free serum miRNA in posttranscription and translation regulation innovated and restructured the knowledge on the field. This review focuses on molecular epidemiology and primary prevention aspects of the small non-coding RNA sequences. Orv. Hetil., 2011, 152, 633–641.

Learning Analytics Considered Harmful

2012 ◽  
Vol 16 (3) ◽  
Author(s):  
Laurie P Dringus
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Learning Analytics ◽  
Online Courses ◽  
Research Community ◽  
Current Status ◽  
Online Course ◽  
Full Potential

This essay is written to present a prospective stance on how learning analytics, as a core evaluative approach, must help instructors uncover the important trends and evidence of quality learner data in the online course. A critique is presented of strategic and tactical issues of learning analytics. The approach to the critique is taken through the lens of questioning the current status of applying learning analytics to online courses. The goal of the discussion is twofold: (1) to inform online learning practitioners (e.g., instructors and administrators) of the potential of learning analytics in online courses and (2) to broaden discussion in the research community about the advancement of learning analytics in online learning. In recognizing the full potential of formalizing big data in online coures, the community must address this issue also in the context of the potentially "harmful" application of learning analytics.

Water resources management in Greece: current status and prospective outlook

1995 ◽  
Vol 32 (9-10) ◽  
pp. 267-272 ◽  
Author(s):  
A. Angelakis ◽  
E. Diamadopoulos
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Water Demand ◽  
Treatment Plant ◽  
Current Status ◽  
Reclaimed Wastewater ◽  
Resources Management ◽  
The Past ◽  
Precipitation Water ◽  
Pollution Loads

The basic aim of this paper is to present the existing conditions and problems of water resources management in Greece. Water demand has increased tremendously over the past 30 years. Despite adequate precipitation, water imbalance is often experienced, due to temporal and regional variations of the precipitation, the increased water demand during the summer months and the difficulty of transporting water due to the mountainous terrain. Integration of reclaimed wastewater originating from the wastewater treatment plant effluents into the water resources management is proposed. This plan exhibits the potential for reducing the pollution loads entering sea or inland waters, while at the same time providing water for irrigation.

Recent Advances in Therapeutic Applications of Bisbenzimidazoles

2020 ◽  
Vol 16 (4) ◽  
pp. 454-486 ◽  
Author(s):  
Smita Verma ◽  
Vishnuvardh Ravichandiran ◽  
Nihar Ranjan ◽  
Swaran J.S. Flora
Keyword(s):  
Heterocyclic Compounds ◽  
Wide Spectrum ◽  
Dna Recognition ◽  
Present Review ◽  
Pharmacological Activities ◽  
Structural Motifs ◽  
Therapeutic Applications ◽  
The Past ◽  
Recent Advances

Nitrogen-containing heterocycles are one of the most common structural motifs in approximately 80% of the marketed drugs. Of these, benzimidazoles analogues are known to elicit a wide spectrum of pharmaceutical activities such as anticancer, antibacterial, antiparasitic, antiviral, antifungal as well as chemosensor effect. Based on the benzimidazole core fused heterocyclic compounds, crescent-shaped bisbenzimidazoles were developed which provided an early breakthrough in the sequence-specific DNA recognition. Over the years, a number of functional variations in the bisbenzimidazole core have led to the emergence of their unique properties and established them as versatile ligands against several classes of pathogens. The present review provides an overview of diverse pharmacological activities of the bisbenzimidazole analogues in the past decade with a brief account of its development through the years.

Upcoming Drifts In Bio-Similars

2020 ◽  
Vol 15 ◽  
Author(s):  
Geeta Aggarwal ◽  
Manju Nagpal ◽  
Ameya Sharma ◽  
Vivek Puri ◽  
Gitika Arora Dhingra
Keyword(s):  
Metabolic Diseases ◽  
Market Competition ◽  
Current Status ◽  
Medicinal Products ◽  
The Past ◽  
Biologic Activity ◽  
Emerging Trends ◽  
Regulatory Guidelines ◽  
Food Drug Administration ◽  
Insight Into

Background: Biopharmaceuticals such as Biologic medicinal products have been in clinical use over the past three decades and have benefited towards the therapy of degenerative and critical metabolic diseases. It is forecasted that market of biologics will be going to increase at a rate of 20% per year, and by 2025, more than ˃ 50% of new drug approvals may be biological products. The increasing utilization of the biologics necessitates for cost control, especially for innovators products that have enjoyed a lengthy period of exclusive use. As the first wave of biopharmaceuticals is expired or set to expire, it has led to various opportunities for the expansion of bio-similars i.e. copied versions of original biologics with same biologic activity. Development of biosimilars is expected to promote market competition, meet worldwide demand, sustain the healthcare systems and maintain the incentives for innovation. Methods: Appraisal of published articles from peer reviewed journals, PubMed literature, latest news and guidelines from European Medicine Agency, US Food Drug Administration (FDA) and India are used to identify data for review. Results: Main insight into the quality requirements concerning biologics, current status of regulation of biosimilars and upcoming challenges lying ahead for the upgrading of marketing authorization of bio-similars has been incorporated. Compiled literature on therapeutic status, regulatory guidelines and the emerging trends and opportunities of biosimilars has been thoroughly stated. Conclusion: Updates on biosimilars will support to investigate the possible impact of bio-similars on healthcare market.

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