scholarly journals Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: A Multi-Method Study (Preprint)

2021 ◽  
Author(s):  
Sylvia Cho ◽  
Chunhua Weng ◽  
Michael G Kahn ◽  
Karthik Natarajan
Keyword(s):  
Focus Group ◽  
Literature Review ◽  
Data Quality ◽  
Group Discussion ◽  
Wearable Device ◽  
Domain Experts ◽  
Secondary Use ◽  
Quality Dimensions ◽  
Data Quality Dimensions ◽  
Incorrect Data

BACKGROUND There is a growing interest in using person-generated wearable device data for biomedical research, but concerns in the quality of data such as missing or incorrect data exists. This emphasizes the importance of assessing data quality prior to conducting research. In order to perform data quality assessments, it is essential to define what data quality means for person-generated wearable device data by identifying data quality dimensions. OBJECTIVE The goal of this study was to identify data quality dimensions for person-generated wearable device data for research purposes. METHODS Study was conducted in three phases: (1) literature review, (2) survey, and (3) focus group discussion. Literature review was conducted following the PRISMA guideline to identify factors affecting data quality and its associated data quality challenges. In addition, a survey was conducted to confirm and complement results from the literature review, and to understand researchers’ perception on data quality dimensions that were previously identified as dimensions for the secondary use of electronic health record (EHR) data. The survey was sent out to researchers with experience in analyzing wearable device data. Focus group discussion sessions were conducted with domain experts to derive data quality dimensions for person-generated wearable device data. Based on the results from the literature review and survey, a facilitator proposed potential data quality dimensions relevant to person-generated wearable device data, and the domain experts accepted or rejected the suggested dimensions. RESULTS Nineteen studies were included in the literature review. Three major themes emerged: device- and technical-related, user-related, and data governance-related factors. Associated data quality problems were incomplete data, incorrect data, and heterogeneous data. Twenty respondents answered the survey. Major data quality challenges faced by researchers were completeness, accuracy, and plausibility. The importance ratings on data quality dimensions in an existing framework showed that dimensions for secondary use of EHR data is applicable to person-generated wearable device data. There were three focus group sessions with domain experts in data quality and wearable device research. The experts concluded that intrinsic data quality features such as conformance, completeness, and plausibility, and contextual/fitness-for-use data quality features such as completeness (breadth and density) and temporal data granularity are important data quality dimensions for assessing person-generated wearable device data for research purposes. CONCLUSIONS In this study, intrinsic and contextual/fitness-for-use data quality dimensions for person-generated wearable device data were identified. The dimensions were adapted from data quality terminologies and frameworks for the secondary use of EHR data with a few modifications. Further research on how data quality can be assessed in regards to each dimension is needed.

scholarly journals Big Data Quality Dimensions: A Systematic Literature Review

2020 ◽  
Author(s):  
Anandhi Ramasamy ◽  
Soumitra Chowdhury
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Data Quality ◽  
Systematic Literature Review ◽  
Academic Research ◽  
Past Research ◽  
Quality Dimension ◽  
Quality Aspects ◽  
Quality Dimensions ◽  
Data Quality Dimensions

Although big data has become an integral part of businesses and society, there is still concern about the quality aspects of big data. Past research has focused on identifying various dimensions of big data. However, the research is scattered and there is a need to synthesize the ever involving phenomenon of big data. This research aims at providing a systematic literature review of the quality dimension of big data. Based on a review of 17 articles from academic research, we have presented a set of key quality dimensions of big data.

Anchoring data quality dimensions in ontological foundations

1996 ◽  
Vol 39 (11) ◽  
pp. 86-95 ◽  
Author(s):  
Yair Wand ◽  
Richard Y. Wang
Keyword(s):  
Data Quality ◽  
Quality Dimensions ◽  
Data Quality Dimensions

scholarly journals An Evidence-based Model of Teacher Engagement in Indonesia: Indonesian Teacher Engagement Index (ITEI)

2018 ◽  
Vol 7 (3.30) ◽  
pp. 297
Author(s):  
Sasmoko . ◽  
Yasinta Indrianti ◽  
Aqeel Khan ◽  
Nor Fadila Amin
Keyword(s):  
Focus Group ◽  
Literature Review ◽  
Focus Group Discussion ◽  
Group Discussion ◽  
Evidence Based ◽  
Teacher Engagement ◽  
Educational Transformation ◽  
Exploratory Stage ◽  
Teacher Professional ◽  
Evidence Based Model

Educational transformation can occur when teachers are directly involved in seeking change through self-diagnostic measurements to have a clear picture of Indonesian teachers’ capacity as a teacher, professional and Indonesian character educator.  The instrument discussed in this research is the Indonesian Teacher Engagement Index (ITEI). This research is the result of the literature review to produce the ITEI model. The research used Neuroresearch method with an exploratory stage through journal study and focus group discussion. The result of the research found that there is a teacher engagement model that is suitable for the characteristics of teachers in Indonesia.  

Big data to knowledge – Harnessing semiotic relationships of data quality and skills in genome curation work

2018 ◽  
Vol 44 (6) ◽  
pp. 785-801
Author(s):  
Hong Huang
Keyword(s):  
Quality Assurance ◽  
Big Data ◽  
Data Quality ◽  
Strong Support ◽  
Policy Makers ◽  
Specific Data ◽  
Theoretical Perspectives ◽  
Funding Agencies ◽  
Quality Dimensions ◽  
Data Quality Dimensions

This article aims to understand the views of genomic scientists with regard to the data quality assurances associated with semiotics and data–information–knowledge (DIK). The resulting communication of signs generated from genomic curation work, was found within different semantic levels of DIK that correlate specific data quality dimensions with their respective skills. Syntactic data quality dimensions were ranked the highest among all other semiotic data quality dimensions, which indicated that scientists spend great efforts for handling data wrangling activities in genome curation work. Semantic- and pragmatic-related sign communications were about meaningful interpretation, thus required additional adaptive and interpretative skills to deal with data quality issues. This expanded concept of ‘curation’ as sign/semiotic was not previously explored from the practical to the theoretical perspectives. The findings inform policy makers and practitioners to develop framework and cyberinfrastructure that facilitate the initiatives and advocacies of ‘Big Data to Knowledge’ by funding agencies. The findings from this study can also help plan data quality assurance policies and thus maximise the efficiency of genomic data management. Our results give strong support to the relevance of data quality skills communication for relationship with data quality assurance in genome curation activities.

scholarly journals Development of a Peer Education Program to Improve Concussion Knowledge and Reporting in Collegiate Athletes

2020 ◽  
Vol 55 (5) ◽  
pp. 448-455 ◽  
Author(s):  
William Ernst ◽  
Meredith E. Kneavel
Keyword(s):  
Focus Group ◽  
Literature Review ◽  
Education Program ◽  
Student Athletes ◽  
National Collegiate Athletic Association ◽  
Group Discussion ◽  
Collegiate Athletes ◽  
Concussion Knowledge ◽  
Pilot Implementation ◽  
Women's Soccer

Context A novel peer concussion-education program (PCEP) was developed to enhance concussion knowledge and reporting among collegiate student-athletes. Objective To describe the PCEP and its development and implementation. Design Program development consisting of a literature review, focus group, and pilot implementation. Setting Athletics department at a college participating at the National Collegiate Athletic Association Division II-sanctioned competition level. Patients or Other Participants Fifteen student-athletes from the women's soccer and men's lacrosse teams participated in the focus group. Four peer concussion educators (PCEs) were debriefed after the pilot implementation of the PCEP with the women's soccer and men's lacrosse teams. Data Collection and Analysis Focus-group data were analyzed qualitatively. The PCEs were debriefed, and responses were organized into recommendation types. Results The literature review contributed information that supported the development of the PCEP's conceptual model. Focus-group results provided information used to train the PCEs and refine the PCEP's education modules. The pilot implementation and PCE debriefing supplied information used to further revise the education modules, PCE training, and PCEP implementation procedure. Conclusions The PCEP was developed based on the Theory of Reasoned Action and Planned Behavior and uses a peer-mediated, cognitive-behavioral, and interdisciplinary model to enhance concussion knowledge of and reporting by collegiate student-athletes. After a focus-group discussion and pilot implementation, we revised the PCEP and its education modules and developed an online manual to facilitate broad dissemination.

Data quality requirements for water bills

2016 ◽  
Vol 28 (6) ◽  
pp. 933-953 ◽  
Author(s):  
Patrícia Moura e Sá ◽  
Rita Martins
Keyword(s):  
Data Quality ◽  
Design Methodology ◽  
General Interest ◽  
Plain Language ◽  
Quality Requirements ◽  
Content Type ◽  
Services Of General Interest ◽  
Quality Dimensions ◽  
Data Quality Dimensions ◽  
Practical Implications

Purpose The purpose of this paper is to uncover the customers’ concerns with the information disclosed in water services invoices and to analyse them with reference to the data quality dimensions usually proposed in the literature. In the context of services of general interest invoices are particularly relevant as a vehicle to convey information to all consumers. Design/methodology/approach Based on the principles of quality planning, the research uses a qualitative approach to identify the data quality requirements of water invoices. Customer voices were collected by means of focus groups and their meanings analysed using an affinity diagram. Findings Findings show that plain language efforts and strategies to enhance trust on the service provided need to be further reinforced. Consumers’ requirements together with the regulator recommendations also confirm the data quality dimensions identified in the literature. Practical implications This research highlights that avoiding technical language and making visible the consequences of different consumption levels on the amounts to be paid is essential when designing water invoices. Moreover, it emphasises that there is still room for improvement in the way the economic regulator performs its role in ensuring the provision of sound information. Originality/value This research addresses a literature gap by conducting a study on data quality requirements outside the context of information systems for organisations. The study is original because it looks at water invoices as a “product” that can be designed to meet the needs of their users.

scholarly journals MENGANTISIPASI KEJAHATAN SEKSUAL TERHADAP ANAK MELALUI PEMBELAJARAN “AKU ANAK BERANI MELINDUNGI DIRI SENDIRI”: Studi di Yayasan al-Hikmah Grobogan

2017 ◽  
Vol 12 (2) ◽  
pp. 187
Author(s):  
Siti Hikmah
Keyword(s):  
Sexual Abuse ◽  
Focus Group ◽  
Literature Review ◽  
Focus Group Discussion ◽  
Group Discussion ◽  
Field Research ◽  
Secondary Data ◽  
Primary Data ◽  
Sexual Crimes ◽  
Teachers And Students

<p class="IIABSTRAK333">Recently, the sexual crime for children tends to increase significantly and it causes a traumatic impact on the victims. So it needs strong effort to anticipate the sexual crimes for children as early as possible. This paper describes the efforts to anticipate sexual abuse for children through learning method namely “I dare to take care of myself” at al-Hikmah Foundation, Grobogan. The method used was qualitative descriptive and field research by conducting Focus Group Discussion (FGD). The researcher used interviews and documentation technique for data collection. The teachers and students of al-Hikmah foundation Grobogan became the sources of primary data. While the secondary data sources were taken from a literature review that is relevant to this study. The result showed that one of the efforts to anticipate sexual abuse for children was by optimizing the teachers’ role and parents through Focus Group Discussion activities. Indeed, it was found ten themes to motivate children defending themselves, namely: Why different?, Where the baby came out?, Where to pee?, What kind of touch is it?, Do I tell you or not?, I’m afraid of ghost, Who is he?, Circumcision, Why is it not allowed?, Who could protect me? These activities would produce an understanding of the importance of taking care of themselves to avoid sexual crimes for children and parents.</p><p class="IIABSTRAK333" align="center">_________________________________________________________</p>Kejahatan seksual anak dari tahun ke tahun semakin meningkat, dan menyebabkan dampak traumatis terhadap korban. Maka diperlukan upaya untuk mengantisipasi kejahatan seksual pada anak sedini. Tulisan ini menjelaskan mengenai upaua meng­antisi­pasi kejahatan seksual anak melalui pembelajaran aku anak berani melindungi diri sendiri di Yayasan al-Hikmah Grobogan. metode yang digunakan ada­lah kualitatif deskriptif, jenis <em>field research</em>, dengan <em>Focus Group Discussion</em> (FGD). Teknik pe­ngumpul­­an data menggunakan wa­wan­cara dan dokumentasi. Sumber data primer adalah guru kelas dan siswa MI Yayasan al-Hikmah Grobogan. Sumber data sekunder adalah kajian pustaka dan literature review yang relevan dengan kajian ini. Upaya yang dapat dilakukan untuk mengantisipasi kejahatan seksual anak dilakukan dengan optimali­sasi peran guru kelas dan orang tua siswa melalui kegiatan FGD. Mengantisipasi kejahatan seksual pada anak dilakukan melalui pembelajaran aku anak berani melindungi diri sendiri melalui se­puluh tema yaitu: kenapa berbeda, dari mana keluar­­nya adik bayi, pipis dimana, sentuhan apa nih, cerita nggak ya, ih takut ada hantu, siapa itu, khitan, mengapa tidak boleh, siapa yang bisa melindungiku. Kegiatan ini menghasilkan pemahaman kepada anak dan orang tua pentingnya menjaga diri sendiri agar terhindar dari kejahatan seksual.

scholarly journals PENGARUH IKLAN DI MEDIA SOSIAL INSTAGRAM TERHADAP MINAT BELI MASYARAKAT PADA E-COMMERCE

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Erick Hartawan ◽  
Delfin Liu ◽  
Marc Richardo Handoko ◽  
Geraldo Evan ◽  
Handyanto Widjojo
Keyword(s):  
Social Media ◽  
Mixed Methods ◽  
Focus Group ◽  
Literature Review ◽  
Focus Group Discussion ◽  
Purchase Intention ◽  
Group Discussion ◽  
Image Information ◽  
Research Findings

 Abstract: In line with the development of Instagram usage as social media, many companies advertise their offerings through Instagram to build consumers’ purchase intention through e-commerce. This research aims to explore and identify the factors on Instagram ads that significantly influence purchase intention on e-commerce. Mixed-methods are conducted through interviews, focus group discussion, literature review, and survey. The findings show that promotion, image, and information on Instagram significantly influence purchase intention through e-commerce. The e-commerce companies could benefit from the research findings to optimize their marketing communicationand increase the e-commerce transaction.    Abstrak: Dengan semakin berkembangnya penggunaan Instagram sebagai media sosial, maka banyak perusahaan yang memasang iklan pada Instagram untuk membangun keinginan membeli konsumen. Penelitian ini bertujuan menggali faktor-faktor pada iklan di Instagram yang mempengaruhi minat membeli melalui e-commerce. Pendekatan mixed-methods dilakukan melalui wawancara, focus group discussion, tinjauan pustaka, dan survey. Hasil penelitian ini menunjukkan pengaruh faktor promosi, gambar dan informasi pada iklan di Instagram terhadap intensi pembelian melalui e-commerce. Perusahaan e-commerce dapat meningkatkan transaksi e-commerce dengan mengoptimalkan faktor-faktor tersebut dalam strategi komunikasi pemasarannyaKeywords: Instagram, e-commerce, promotion, image, information   Kata Kunci: Instagram, e-commerce, promosi, gambar, informasi

Sign in / Sign up

Export Citation Format

Share Document