Standard Descriptive Vocabulary and Archaeology Digital Data Collection

2017 ◽  
Vol 5 (3) ◽  
pp. 250-264 ◽  
Author(s):  
Caroline Beebe
Keyword(s):  
Data Collection ◽  
Digital Technology ◽  
New Technologies ◽  
Controlled Vocabulary ◽  
Digital Data ◽  
Primary Data ◽  
Digital Information ◽  
Chau Hiix ◽  
Facet Analysis ◽  
Small Science

ABSTRACTArchaeology has embraced the shift to digital technology for collecting, analyzing, and sharing data. Digital repositories are now recognized as essential for data stewardship and are setting standards for data deposition. These new technologies and systems support the scientific need for reproducible results through intra-cultural as well as cross-cultural hypothesis testing. Methods of digital data collection in the field, however, are often site specific, restricted by the limited availability of digital technologies, or not well suited for creating systems that support the requirements of the new digital information paradigm. As a small science project, the Chau Hiix Project in Belize will provide examples of the pitfalls in and insights about shifting to digital technology to make its primary data shareable and reusable. These experiences suggest the need for an international collaborative agenda that develops digital data description standards based on controlled vocabulary, facet analysis, and crosswalks implemented at the analog point of collection.

The Data Imperative

2020 ◽  
pp. 19-43
Author(s):  
Henri Schildt
Keyword(s):  
Real Time ◽  
Business Processes ◽  
New Technologies ◽  
Digital Data ◽  
Digital Information ◽  
Information Flows ◽  
End Point ◽  
The World ◽  
The Creation ◽  
And Control

This chapter examines digitalization as a set of new normative ideals for managing and organizing businesses, enabled by new technologies. The data imperative consists of two mutually reinforcing goals: the pursuit of omniscience—the aspiration of management to capture the world relevant to the company through digital data; and the pursuit of omnipotence—an aspiration of managers to control and optimize activities in real-time and around the world through software. The data imperative model captures a self-reinforcing cycle of four sequential steps: (1) the creation and capture of data, (2) the combination and analysis of data, (3) the redesign of business processes around smart algorithms, and (4) the ability to control the world through digital information flows. The logical end-point of the data imperative is a ‘programmable world’, a conception of society saturated with Internet-connected hardware that is able to capture processes in real time and control them in order to optimize desired outcomes.

scholarly journals Consumer Views on Health Applications of Consumer Digital Data and Health Privacy Among US Adults: Qualitative Interview Study (Preprint)

2021 ◽  
Author(s):  
David Grande ◽  
Xochitl Luna Marti ◽  
Raina M Merchant ◽  
David A Asch ◽  
Abby Dolan ◽  
...  
Keyword(s):  
Data Collection ◽  
Digital Health ◽  
National Sample ◽  
Digital Data ◽  
Digital Information ◽  
Related Data ◽  
Qualitative Interview Study ◽  
Health Related ◽  
Digital Footprints ◽  
Health Applications

BACKGROUND In 2020, the number of internet users surpassed 4.6 billion. Individuals who create and share digital data can leave a trail of information about their habits and preferences that collectively generate a digital footprint. Studies have shown that digital footprints can reveal important information regarding an individual’s health status, ranging from diet and exercise to depression. Uses of digital applications have accelerated during the COVID-19 pandemic where public health organizations have utilized technology to reduce the burden of transmission, ultimately leading to policy discussions about digital health privacy. Though US consumers report feeling concerned about the way their personal data is used, they continue to use digital technologies. OBJECTIVE This study aimed to understand the extent to which consumers recognize possible health applications of their digital data and identify their most salient concerns around digital health privacy. METHODS We conducted semistructured interviews with a diverse national sample of US adults from November 2018 to January 2019. Participants were recruited from the Ipsos KnowledgePanel, a nationally representative panel. Participants were asked to reflect on their own use of digital technology, rate various sources of digital information, and consider several hypothetical scenarios with varying sources and health-related applications of personal digital information. RESULTS The final cohort included a diverse national sample of 45 US consumers. Participants were generally unaware what consumer digital data might reveal about their health. They also revealed limited knowledge of current data collection and aggregation practices. When responding to specific scenarios with health-related applications of data, they had difficulty weighing the benefits and harms but expressed a desire for privacy protection. They saw benefits in using digital data to improve health, but wanted limits to health programs’ use of consumer digital data. CONCLUSIONS Current privacy restrictions on health-related data are premised on the notion that these data are derived only from medical encounters. Given that an increasing amount of health-related data is derived from digital footprints in consumer settings, our findings suggest the need for greater transparency of data collection and uses, and broader health privacy protections.

scholarly journals Paper Versus Digital Data Collection Methods for Road Safety Observations: Comparative Efficiency Analysis of Cost, Timeliness, Reliability, and Results

10.2196/17129 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e17129
Author(s):  
Niloufer Taber ◽  
Amber Mehmood ◽  
Perumal Vedagiri ◽  
Shivam Gupta ◽  
Rachel Pinto ◽  
...  
Keyword(s):  
Risk Factor ◽  
Data Collection ◽  
Small Sample ◽  
Digital Data ◽  
Primary Data ◽  
Sample Sizes ◽  
Time Efficiency ◽  
Trade Offs ◽  
Digital Methods ◽  
Logistic Regressions

Background Roadside observational studies play a fundamental role in designing evidence-informed strategies to address the pressing global health problem of road traffic injuries. Paper-based data collection has been the standard method for such studies, although digital methods are gaining popularity in all types of primary data collection. Objective This study aims to understand the reliability, productivity, and efficiency of paper vs digital data collection based on three different road user behaviors: helmet use, seatbelt use, and speeding. It also aims to understand the cost and time efficiency of each method and to evaluate potential trade-offs among reliability, productivity, and efficiency. Methods A total of 150 observational sessions were conducted simultaneously for each risk factor in Mumbai, India, across two rounds of data collection. We matched the simultaneous digital and paper observation periods by date, time, and location, and compared the reliability by subgroups and the productivity using Pearson correlations (r). We also conducted logistic regressions separately by method to understand how similar results of inferential analyses would be. The time to complete an observation and the time to obtain a complete dataset were also compared, as were the total costs in US dollars for fieldwork, data entry, management, and cleaning. Results Productivity was higher in paper than digital methods in each round for each risk factor. However, the sample sizes across both methods provided a precision of 0.7 percentage points or smaller. The gap between digital and paper data collection productivity narrowed across rounds, with correlations improving from r=0.27-0.49 to 0.89-0.96. Reliability in risk factor proportions was between 0.61 and 0.99, improving between the two rounds for each risk factor. The results of the logistic regressions were also largely comparable between the two methods. Differences in regression results were largely attributable to small sample sizes in some variable levels or random error in variables where the prevalence of the outcome was similar among variable levels. Although data collectors were able to complete an observation using paper more quickly, the digital dataset was available approximately 9 days sooner. Although fixed costs were higher for digital data collection, variable costs were much lower, resulting in a 7.73% (US $3011/38,947) lower overall cost. Conclusions Our study did not face trade-offs among time efficiency, cost efficiency, statistical reliability, and descriptive comparability when deciding between digital and paper, as digital data collection proved equivalent or superior on these domains in the context of our project. As trade-offs among cost, timeliness, and comparability—and the relative importance of each—could be unique to every data collection project, researchers should carefully consider the questionnaire complexity, target sample size, implementation plan, cost and logistical constraints, and geographical contexts when making the decision between digital and paper.

scholarly journals Paper Versus Digital Data Collection Methods for Road Safety Observations: Comparative Efficiency Analysis of Cost, Timeliness, Reliability, and Results (Preprint)

2019 ◽  
Author(s):  
Niloufer Taber ◽  
Amber Mehmood ◽  
Perumal Vedagiri ◽  
Shivam Gupta ◽  
Rachel Pinto ◽  
...  
Keyword(s):  
Risk Factor ◽  
Data Collection ◽  
Small Sample ◽  
Digital Data ◽  
Primary Data ◽  
Sample Sizes ◽  
Time Efficiency ◽  
Trade Offs ◽  
Digital Methods ◽  
Logistic Regressions

BACKGROUND Roadside observational studies play a fundamental role in designing evidence-informed strategies to address the pressing global health problem of road traffic injuries. Paper-based data collection has been the standard method for such studies, although digital methods are gaining popularity in all types of primary data collection. OBJECTIVE This study aims to understand the reliability, productivity, and efficiency of paper vs digital data collection based on three different road user behaviors: helmet use, seatbelt use, and speeding. It also aims to understand the cost and time efficiency of each method and to evaluate potential trade-offs among reliability, productivity, and efficiency. METHODS A total of 150 observational sessions were conducted simultaneously for each risk factor in Mumbai, India, across two rounds of data collection. We matched the simultaneous digital and paper observation periods by date, time, and location, and compared the reliability by subgroups and the productivity using Pearson correlations (r). We also conducted logistic regressions separately by method to understand how similar results of inferential analyses would be. The time to complete an observation and the time to obtain a complete dataset were also compared, as were the total costs in US dollars for fieldwork, data entry, management, and cleaning. RESULTS Productivity was higher in paper than digital methods in each round for each risk factor. However, the sample sizes across both methods provided a precision of 0.7 percentage points or smaller. The gap between digital and paper data collection productivity narrowed across rounds, with correlations improving from <i>r</i>=0.27-0.49 to 0.89-0.96. Reliability in risk factor proportions was between 0.61 and 0.99, improving between the two rounds for each risk factor. The results of the logistic regressions were also largely comparable between the two methods. Differences in regression results were largely attributable to small sample sizes in some variable levels or random error in variables where the prevalence of the outcome was similar among variable levels. Although data collectors were able to complete an observation using paper more quickly, the digital dataset was available approximately 9 days sooner. Although fixed costs were higher for digital data collection, variable costs were much lower, resulting in a 7.73% (US $3011/38,947) lower overall cost. CONCLUSIONS Our study did not face trade-offs among time efficiency, cost efficiency, statistical reliability, and descriptive comparability when deciding between digital and paper, as digital data collection proved equivalent or superior on these domains in the context of our project. As trade-offs among cost, timeliness, and comparability—and the relative importance of each—could be unique to every data collection project, researchers should carefully consider the questionnaire complexity, target sample size, implementation plan, cost and logistical constraints, and geographical contexts when making the decision between digital and paper.

scholarly journals Incident Command Futurism

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Josh Gravenmier ◽  
Greg McGowan
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Mechanical Response ◽  
Cost Savings ◽  
Risk Identification ◽  
Digital Data ◽  
Digital Information ◽  
Incident Command ◽  
Response Status ◽  
Unified Command

ABSTRACT The availability of integrated remote sensing platforms and digital data collection and sharing tools is changing spill response. These tools facilitate a more effective and rapid decision-making process that can increase resource protection, improve responder safety, and reduce response costs. Early detection and response are a key to preventing smaller incidents from becoming larger. A variety of innovative tools now exist or are in development that could assist facilities and responders in the early stages and throughout an incident event to reduce human, environmental, and economic impacts. Real time field data collection for key parameters such as oil thickness and trajectory, SCAT data, oiled wildlife details, and resources at risk identification, allows for more robust data to be shared rapidly throughout the response operation. This information facilitates more effectively targeted deployment and re-deployment of human and mechanical response assets, and more immediate assessment of both environmental impacts and cleanup progress. Auto-population of incident command system forms as well as better document sharing and document retention through remote and cloud-based file saving platforms can improve the administrative and functional aspects of the response, contributing to enhanced efficiency. The ability to identify and effectively respond to rapidly changing circumstances provides the Unified Command with new tools to make better decisions and keep the public informed of progress. This paper considers new and emerging technologies as they may be applied to the work in a unified command setting, and how they may allow us to compress the operational period for decision-making and action, more accurately and more rapidly understand and share the spill response status, and how we may be able to enhance responder safety and recognize cost savings. We also consider some inherent risks associated with reliance on integrated technologies and digital information and will offer suggestions for drills and exercises to test and optimize these tools.

scholarly journals Consumer Views on Health Applications of Consumer Digital Data and Health Privacy Among US Adults: Qualitative Interview Study

10.2196/29395 ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. e29395
Author(s):  
David Grande ◽  
Xochitl Luna Marti ◽  
Raina M Merchant ◽  
David A Asch ◽  
Abby Dolan ◽  
...  
Keyword(s):  
Data Collection ◽  
Digital Health ◽  
National Sample ◽  
Digital Data ◽  
Digital Information ◽  
Related Data ◽  
Qualitative Interview Study ◽  
Health Related ◽  
Digital Footprints ◽  
Health Applications

Background In 2020, the number of internet users surpassed 4.6 billion. Individuals who create and share digital data can leave a trail of information about their habits and preferences that collectively generate a digital footprint. Studies have shown that digital footprints can reveal important information regarding an individual’s health status, ranging from diet and exercise to depression. Uses of digital applications have accelerated during the COVID-19 pandemic where public health organizations have utilized technology to reduce the burden of transmission, ultimately leading to policy discussions about digital health privacy. Though US consumers report feeling concerned about the way their personal data is used, they continue to use digital technologies. Objective This study aimed to understand the extent to which consumers recognize possible health applications of their digital data and identify their most salient concerns around digital health privacy. Methods We conducted semistructured interviews with a diverse national sample of US adults from November 2018 to January 2019. Participants were recruited from the Ipsos KnowledgePanel, a nationally representative panel. Participants were asked to reflect on their own use of digital technology, rate various sources of digital information, and consider several hypothetical scenarios with varying sources and health-related applications of personal digital information. Results The final cohort included a diverse national sample of 45 US consumers. Participants were generally unaware what consumer digital data might reveal about their health. They also revealed limited knowledge of current data collection and aggregation practices. When responding to specific scenarios with health-related applications of data, they had difficulty weighing the benefits and harms but expressed a desire for privacy protection. They saw benefits in using digital data to improve health, but wanted limits to health programs’ use of consumer digital data. Conclusions Current privacy restrictions on health-related data are premised on the notion that these data are derived only from medical encounters. Given that an increasing amount of health-related data is derived from digital footprints in consumer settings, our findings suggest the need for greater transparency of data collection and uses, and broader health privacy protections.

PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PELANGGAN PLN RAYON KEDIRI KOTA (STUDI KASUS PEMBAYARAN REKENING LISTRIK DI PLN RAYON KEDIRI KOTA)

2019 ◽  
Vol 1 (2) ◽  
pp. 96
Author(s):  
Septiyan Budi Santoso ◽  
Heribertus Budi Santoso ◽  
Ana Komari
Keyword(s):  
Quality Of Service ◽  
Data Collection ◽  
Customer Satisfaction ◽  
Primary Data ◽  
Customer Complaints ◽  
Work Area

This study aims to determine how high the level of customer satisfaction with the service of PLN Rayon Kediri Kota, to determine the quality of service to customer satisfaction PLN Rayon Kediri Kota, to determine the response of the PLN Kediri Kota in dealing with customer complaints. This research was conducted in the work area of PLN Rayon Kediri Kota. The research time was on March 18, 2017 to March 24, 2017. In writing this thesis, the author uses primary data collection techniques, namely by distributing questionnaires to PLN Rayon Kediri Kota customers who come to the payment counter. and PLN District Kediri City services. Based on the results of the research, the quality of service conducted by PLN District Kediri Kota is sufficient to satisfy its customers, as evidenced by the results of a questionnaire that has been conducted on 100 respondents of PLN Rayon Kediri City.Penelitian ini bertujuan untuk mengetahui seberapa tinggi tingkat kepuasan pelanggan terhadap pelayanan PLN Rayon Kediri Kota, Untuk mengetahui kualitas pelayanan terhadap kepuasan pelanggan PLN Rayon Kediri Kota, Untuk mengetahui respons pihak PLN Kediri Kota dalam menghadapi keluhan pelanggannya. Penelitian ini dilakukan di wilayah kerja PLN Rayon Kediri Kota. Waktu penelitian pada tanggal 18 Maret 2017 sampai dengan 24 Maret 2017. Dalam penulisan skripsi ini, penulis menggunakan teknik pengumpulan data primer yaitu dengan membagikan kuesioner terhadap pelanggan PLN Rayon Kediri Kota yang datang ke loket pembayaran dan pelayanan PLN Rayon Kediri Kota. Berdasarkan hasil penelitian kualitas pelayanan yang dilakukan oleh PLN Rayon Kediri Kota sudah cukup memuaskan pelanggannya terbukti dengan hasil kuesioner yang telah dilakukan terhadap 100 responden PLN Rayon Kediri Kota.

PROFITABILITY ANALYSIS OF TERUBUK FARMING (SACCHARUM EDULE HASSKARL) IN SUBDISTRICT TOSA DISTRICT OF EAST TIDORE OF TIDORE ISLAND

2018 ◽  
Author(s):  
Suwandi S. Sangadji
Keyword(s):  
Data Collection ◽  
Research Method ◽  
Quantitative Method ◽  
Secondary Data ◽  
Primary Data ◽  
Profitability Analysis ◽  
Sample Method ◽  
Document Review ◽  
Revenue Production

The purpose of this researchment is to ascertain how wide the farming of species Saccharun Edule Hasskarl (terubuk) in sub district Tosa, district of East Tidore of Tidore Island through the indicator of the value revenue, production and selling prices so that the farmers will achieve The Break Event Point (BEP). The research method was used a quantitative method with the number of samples of 30 people. The determination of the sample method is using the census method or involving all members of the population into a sample of researchment. The secondary data collection was done by using library literature in the form of document review and relevant references to research object while primary data collection was done by using questionnaire. The data is using equation R /C Ratio, BEP Revenue, BEP Price, and BEP Production. Therefore from the results of the researchment it can be explained that the two of the thirty farmers come through the break event point, while the other twenty-eight farmers declared having a business that worth to be develop or experiencing profit, because the R/C ratio is above 1.0 with average profit reach Rp. 989.000, - per production / farmer.

Life Cycle Development of Successful Women-owned Enterprises

2020 ◽  
Vol 3 (4) ◽  
pp. 142-152
Author(s):  
Mohammad Waliul Hasanat ◽  
Kamna Anum ◽  
Ashikul Hoque ◽  
Mahmud Hamid ◽  
Sandy Francis Peris ◽  
...  
Keyword(s):  
Life Cycle ◽  
Data Collection ◽  
Research Work ◽  
Primary Data ◽  
Small Scale ◽  
Data Collection Process ◽  
Theoretical Finding ◽  
Successful Women ◽  
Two Phases ◽  
Life Cycle Development

In developing countries, the role of women in the business sector is continuously improving. As a result, female enterprises have also been encouraged in Pakistan. This study is based on life cycle development phases from which women-owned enterprises have to go through in order to become successful. As a primary data source, face-to-face interviews with owners of successful women-owned enterprises were preferred. The data collection process was divided into two phases i.e. Phase-I and Phase-II. After data collection, qualitative analysis has been performed using NVIVO. Findings provide both generic and specific factors involved in life cycle development of women-owned enterprises. This study provides a detailed view of life cycle development model followed by successful women enterprises. The outcome of this research work is a theoretical finding which can be utilized by entrepreneurs owning small scale enterprises to improve their level of performance. Findings can also be helpful for potentially talented women interested in setting up their own business.

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