Standardized Data Set for School Health Services

Maughan, Erin D.; Johnson, Kathleen; Bergren, Martha Dewey; Wolfe, Linda C.; Cole, Marjorie; Pontius, Deborah J.; Mendonça, Linda; Watts, Estelle; Patrick, Kathleen

doi:10.1177/1942602x14538414

Cited by 20 publications

(14 citation statements)

References 5 publications

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“…'Big Data' approaches integrated with other new managerial approaches have been applied to industrial pollution reduction and pollutant treatment, improved health care and in other applications. (Cao, 2014;Maughan et al, 2014).…”

Section: Pollution Prevention Treatment and Environmental Efficiencymentioning

confidence: 98%

Improving natural resource management and human health to ensure sustainable societal development based upon insights gained from working within ‘Big Data Environments’

Song

Cen

Zheng³

et al. 2015

Journal of Cleaner Production

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Section: Pollution Prevention Treatment and Environmental Efficiencymentioning

confidence: 98%

Improving natural resource management and human health to ensure sustainable societal development based upon insights gained from working within ‘Big Data Environments’

Song

Cen

Zheng³

et al. 2015

Journal of Cleaner Production

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“…At the center of every technological advancement including big data analytics is the problem of ethical concerns that technology does not put into consideration, technology might have a default way of solving problems but the moral and ethical boundaries of any discipline must be put into consideration [16]. Privacy: privacy has been a major concern when dealing with big data, in the health sector, laws have been put in place to govern the privacy of patients.…”

Section: Management Challengesmentioning

confidence: 99%

Big Data Analytics For Organizations: Challenges and Opportunities and Its Effect on International Business Education

Ali

Kaya

2019

KJAR

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Big Data refers to large volumes of information. This information varies from pictures, videos, texts, audios and other heterogeneous data. In recent years, the amount of such big data has exceeded the capacity of online or cloud storage systems. The amount of data collected yearly has doubled in the past years and the concern for the volume of this data has reached its Exabyte yearly range. This paper focuses on the major issues and opportunities as well as big data storage with the aid of academic tools and researches conducted earlier by scholars for big data analysis. Modern learning environment (MLE) has to be understood in order to know how it supports learning in areas of big data such as university education systems. The utilization of online resources and web pages with laptops and mobile phones need to be understood as an attempt to integrate the modern learning environment and improve teaching in international bossiness. Big data can be fine-tuned and used to create new online learning programmers. Data collected by government departments, universities and institutions could be used as a new innovative learning system such as (MLE) which has a passive and active character i.e. it can be accessed anywhere at any time. This would also help in minimizing extended classroom activities because students would have controlled access to online knowledge from their homes.

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“…The Joint Workgroup invited all school nurses at the NASN Annual Conference and via articles and webinars to participate in the national initiative (Maughan & Johnson, 2015;Maughan et al, 2014;Patrick et al, 2014). At conferences and meetings of the NASSNC, the Joint Workgroup asked all state school nurse consultants to become Designated State Data Champions.…”

Section: Dispostions -Students Seen By Rnmentioning

confidence: 99%

What’s Up With “Step Up”? Step Up and Be Counted

Bergren¹,

Maughan

Wolfe

et al. 2016

NASN School Nurse

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The health and well-being of children who attend school is not collected in any national data sets. To effectively advocate for the health needs of children where they live, learn, and play, it is essential to build a National Uniform School Nurse Data Set. In 2014, school nurses nationwide were invited to join the Step Up and Be Counted! initiative. To prepare nurses for data collection and reporting, an informational website was established, a marketing campaign was launched, and a data collection tool was developed. Trainings were held at the national conferences of both the National Association of School Nurses and the National Association of State School Nurse Consultants, and locally by state school nurse consultants and champions. The goal of the 2014-2015 academic year was to establish the processes for such a large-scale effort. In Year 1, only three initial data sets were collected from participating school nurses from 37 states. The first year yielded much data, and challenges have been identified and addressed.

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Standardized Data Set for School Health Services

Cited by 20 publications

References 5 publications

Improving natural resource management and human health to ensure sustainable societal development based upon insights gained from working within ‘Big Data Environments’

Improving natural resource management and human health to ensure sustainable societal development based upon insights gained from working within ‘Big Data Environments’

Big Data Analytics For Organizations: Challenges and Opportunities and Its Effect on International Business Education

What’s Up With “Step Up”? Step Up and Be Counted

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