Dynamic Distribution Method of Data Collection Platform for Multi-site Data Sharing

2021 ◽  
Vol 141 (12) ◽  
pp. 1444-1452
Author(s):  
Takuya Habara ◽  
Daisuke Ishii ◽  
Daisuke Ito ◽  
Yuji Ogata
Keyword(s):  
Data Collection ◽  
Data Sharing ◽  
Distribution Method ◽  
Dynamic Distribution

scholarly journals Getting Started Creating Data Dictionaries: How to Create a Shareable Data Set

2021 ◽  
Vol 4 (1) ◽  
pp. 251524592092800
Author(s):  
Erin M. Buchanan ◽  
Sarah E. Crain ◽  
Ari L. Cunningham ◽  
Hannah R. Johnson ◽  
Hannah Stash ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Sharing ◽  
Search Engine ◽  
Web Applications ◽  
Data Sets ◽  
Data Dictionary ◽  
Data Set ◽  
Entire Process ◽  
Shared Data ◽  
Source Data

As researchers embrace open and transparent data sharing, they will need to provide information about their data that effectively helps others understand their data sets’ contents. Without proper documentation, data stored in online repositories such as OSF will often be rendered unfindable and unreadable by other researchers and indexing search engines. Data dictionaries and codebooks provide a wealth of information about variables, data collection, and other important facets of a data set. This information, called metadata, provides key insights into how the data might be further used in research and facilitates search-engine indexing to reach a broader audience of interested parties. This Tutorial first explains terminology and standards relevant to data dictionaries and codebooks. Accompanying information on OSF presents a guided workflow of the entire process from source data (e.g., survey answers on Qualtrics) to an openly shared data set accompanied by a data dictionary or codebook that follows an agreed-upon standard. Finally, we discuss freely available Web applications to assist this process of ensuring that psychology data are findable, accessible, interoperable, and reusable.

scholarly journals ANALISIS KESALAHAN BERBAHASA DALAM PIDATO MAHASISWA MPBI-UMS [Analysis of Language Errors in MPBI-UMS Student Speech]

TOTOBUANG ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 185-196
Author(s):  
Wara Angreni ◽  
Atiqa Sabardila
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Research Method ◽  
Distribution Method ◽  
Student Speech ◽  
Reading Technology ◽  
Data Source ◽  
Phonological Change ◽  
Phonological Errors ◽  
Matching Techniques

This study aims to describe the form of speech errors of the candidates for Regional Head of Kulon Progo Regency. The research method used is qualitative descriptions. The data source is the utterances of the student speech. The data collection techniques are listening and note-taking. The data analysis used referential matching techniques and articulatory phonetic equivalents, extension techniques in the distribution method and sign reading technology. The results of the study shows that there are language errors in the form of speech of the candidates for Regional Head of Kulon Progo Regency The five areas of error are (1) phonological errors including phonological change, phoneme formation and pronunciation, (2) morphological errors including prepositions, repetition, tone, and combination of meN- and -kan prefixes, (3) syntax errors including ambiguous sentences, redundant words, and unclear sentence types (4) sociolinguistic errors, including misuse of language coding in sentences, and (5) spelling errors in capital letters, and punctuation.  Penelitian ini bertujuan mendeskripsikan bentuk kesalahan berbahasa pidato mahasiswa calon kepala daerah Kabupaten Kulon Progo. Metode penelitian menggunakan deskripsi kualitatif. Data penelitian berupa tuturan pidato mahasiswa. Teknik pengumpulan simak dan catat.  Analisis data menggunakan teknik padan referensial dan padan fonetis artikulatoris, teknik perluasan dalam metode agih dan teknologi membaca tanda. Hasil penelitian terjadi kesalahan bahasa pada bentuk tuturan pidato mahasiswa calon kepala daerah Kabupaten Kulon Progo memiliki lima wilayah kesalahan yaitu (1) kesalahan fonologi termasuk kesalahan perubahan fonem, kesalahan pembentukan dan pengucapan fonem, (2) kesalahan morfologi meliputi preposisi, penulisan ulang, bentuk nada, dan tulis kombinasi prefiks meN- dan -kan, (3) kesalahan sintaks termasuk kalimat yang ambigu, rancu, kata-kata yang berlebihan, jenis kalimat yang tidak jelas (4) kesalahan sosiolinguistik, termasuk penyalahgunaan campur kode bahasa dalam kalimat, dan (5) kesalahan ejaan dalam huruf kapital, dan tanda baca.

A Adaptive Wireless Sensor Networks for Marine Monitoring

2012 ◽  
Vol 542-543 ◽  
pp. 169-178
Author(s):  
Dong Hong Yang ◽  
Ji Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Data Collection ◽  
Data Acquisition ◽  
Sensor Network ◽  
Data Sharing ◽  
Monitoring System ◽  
Wireless Sensor ◽  
Energy Efficient Routing

The real-time online offshore monitoring system based on wireless sensor network has been designed.It successfully applied wireless sensor network technology to the field of ocean environmental monitoring system.The system is an automatic monitoring system without manual involvement,which runs automatically by the program from the data collection nodes import to the sink node through the communication nodes. The handheld sink has a slick looking interface.It is an offshore wireless sensor networks which can be set up flexibly and can monitor the changes of temperature,light intensity ,PH, dissolved oxygen and other parameters.The system is composed of three main components including data acquisition subsystem,data transmission control subsystem and data sharing subsystem.The subsystems are responsible for monitoring data collection,information transmission processing,data sharing ,and information service.This paper described the architecture of the entire system and the implementation of each module in details,especially the implementation of data acquisition subsystem including hardware packaging,software designing and environmental configuration.Through analyzing of telos node hardware and the energy status of routing protocols,it proposes energy-saving solutions based on energy-efficient routing and radio dormancy strategy. The system has been running for more than one year.It has been proved that the system is energy-saving.It has made an important impact on ocean ography.

scholarly journals SATUAN LINGUAL DAN SISTEM SAPAAN ISTILAH KEKERABATAN BAHASA BALI KASTA KSATRI DI JERO TENGAH KABUPATEN TABANAN

Widya Accarya ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 34-40
Author(s):  
I Gusti Ayu Putu Istri Aryasuari ◽  
I Gusti Ayu Putu Istri Aryasuari
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Birth Order ◽  
Large Family ◽  
Note Taking ◽  
Analysis Method ◽  
Distribution Method ◽  
Collection Method ◽  
Data Collection Method ◽  
Informal Method

Abstrak Penelitian ini meneliti satuan lingual sapaan istilah kekerabatan Bahasa Bali di kalangan kasta ksatria di Jero Tengah Kabupaten Tabanan. Penelitian ini khusus meneliti di satu keluarga besar Jero Tengah yang terletak di Banjar Tegal Baleran Kabupaten Tabanan. Penelitian ini bertujuan untuk mengetahui satuan lingual sapaan istilah kekerabatan Bahasa Bali kasta ksatria di Jero Tengah. Kasta Ksatria yang diteliti yaitu yang menggunakan nama Gusti. Metode pengumpulan data yang dilakukan dengan metode wawancara dengan narasumber dan dilanjutkan dengan teknik catat. Metode analisis data digunakan dengan metode agih, yaitu metode yang alat penentunya itu justru bagian dari Bahasa yang bersangkutan itu sendiri. Metode penyajian hasil analisis data menggunakan metode informal, yaitu hasil analisis disajikan dengan kata-kata dan kalimat. Satuan-satuan lingual sapaan istilah kekerabatan Bahasa Bali kasta ksatria di Jero Tengah yang ditemukan yaitu, kompyang ‘buyut’, ninik, mbah ‘nenek’, wayah ‘kakek’, ajik ‘ayah’, biang ‘ibu’, utik ‘ibu’, ‘ibu’, ji + urutan kelahiran ‘paman’, biang + urutan kelahiraan ‘bibi’, tik + urutan kelahiran ‘bibi’, bu + urutan kelahiran ‘bibi’, titu ‘bibi’, raka + urutan kelahiran ‘kakak laki-laki’, wi gus ‘kakak laki-laki’,  mbok gek ‘kakak perempuan’, gung + nama, gung + urutan kelahiran / nama saja ‘adik laki-laki/perempuan’. Satuan lingual dan sistem sapaan istilah kekerabatan Bahasa Bali yang ditemukan beragam sesuai dengan penggunaannya. Kata kunci: satuan lingual, sapaan istilah kekerabatan, bahasa Bali, kasta ksatria   Abstract This research examined the lingual units of greeting of Balinese kinship terms among ksatria caste in Jero Tengah Tabanan Regency. This study specifically examined a large family of Jero Tengah located in Banjar Tegal Baleran, Tabanan Regency. This study aimed to determine the lingual units of greeting of Balinese kinship terms among ksatria caste in Jero Tengah. The Ksatria caste studied were those whose names were Gusti. The data collection method was carried out by interviewing the interviewees and continued with note taking. The data analysis method used was the distribution method that is the method in which the determinant is precisely the part of the language itself. The method of presenting the results of the data analysis was informal method, in which the results of the analysis were presented by using words and sentences. The lingual units of greeting of Balinese kinship terms among ksatria caste in Jero Tengah found were kompyang 'great-grandfather', ninik, mbah 'grandmother', wayah 'grandfather', ajik 'father', biang 'mother', utik 'mother', ji + birth order 'uncle', biang + birth order 'aunt', tik + birth order 'aunt', bu + birth order 'aunt', titu 'aunt', raka + birth order 'older brother ', wi gus 'older brother', mbok gek 'older sister', gung + name, gung + birth order / name only 'younger brother / sister'. Lingual units and greeting systems of Balinese kinship terms found were various according to their use. Keywords: lingual units, greeting of kinship terms, Balinese, Ksatria caste

scholarly journals Attitudes towards Participation in a Passive Data Collection Experiment

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6085
Author(s):  
Bence Ságvári ◽  
Attila Gulyás ◽  
Júlia Koltai
Keyword(s):  
Data Collection ◽  
Data Sharing ◽  
Online Survey ◽  
User Participation ◽  
Sensor Data ◽  
Smart Devices ◽  
Future Research ◽  
General Level ◽  
Willingness To Participate ◽  
Passive Data

In this paper, we present the results of an exploratory study conducted in Hungary using a factorial design-based online survey to explore the willingness to participate in a future research project based on active and passive data collection via smartphones. Recently, the improvement of smart devices has enabled the collection of behavioural data on a previously unimaginable scale. However, the willingness to share this data is a key issue for the social sciences and often proves to be the biggest obstacle to conducting research. In this paper we use vignettes to test different (hypothetical) study settings that involve sensor data collection but differ in the organizer of the research, the purpose of the study and the type of collected data, the duration of data sharing, the number of incentives and the ability to suspend and review the collection of data. Besides the demographic profile of respondents, we also include behavioural and attitudinal variables to the models. Our results show that the content and context of the data collection significantly changes people’s willingness to participate, however their basic demographic characteristics (apart from age) and general level of trust seem to have no significant effect. This study is a first step in a larger project that involves the development of a complex smartphone-based research tool for hybrid (active and passive) data collection. The results presented in this paper help improve our experimental design to encourage participation by minimizing data sharing concerns and maximizing user participation and motivation.

scholarly journals Sensors data collection framework using mobile identification with secure data sharing model

2019 ◽  
Vol 9 (5) ◽  
pp. 4258
Author(s):  
Fulayjan Alanazi ◽  
Ahmed Elhadad ◽  
Safwat Hamad ◽  
A Ghareeb
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Data Sharing ◽  
Electronic Devices ◽  
Experimental Results ◽  
Data Repository ◽  
Monitoring Applications ◽  
Secure Data ◽  
Environmental Events ◽  
Privacy Issues

Sensors are the modules or electronic devices that are used to measure and get environmental events and send the captured data to other devices, usually computer processors allocated on the cloud. One of the most recent challenges is to protect and save the privacy issues of those sensors data on the cloud sharing. In this paper, sensors data collection framework is proposed using mobile identification and proxy re-encryption model for data sharing. The proposed framework includes: identity broker server, sensors managing and monitoring applications, messages queuing sever and data repository server. Finally, the experimental results show that the proposed proxy re-encryption model can work in real time.

scholarly journals Cloudlet based Medical Data Sharing with Privacy Protection

2019 ◽  
Vol 8 (9) ◽  
pp. 2538-2542
Keyword(s):  
Data Collection ◽  
Health Services ◽  
Data Sharing ◽  
Medical Information ◽  
Trust Model ◽  
Wearable Devices ◽  
Modern Technology ◽  
Medical Data ◽  
Ageing Population ◽  
Local Doctor

This modern society expects sophisticated modern health care services to enhance the healthy living conditions. The world’s ageing population and prevalence of chronic diseases has lead to high demand for medical data monitoring. The modern technology is supporting in all the way to realize the sophisticated health services. Specialized doctors are generally very rare and they may be geographically far away from needy patient. Without the support of technology, they cannot provide health services from remote places. In most of the cases, patients are immovable to doctor’s place due to their critical health conditions. But, the technology is a coming to help in such situations in a great way. The modern technology is helping in providing health services remotely with same quality as a local doctor can provide. The key concept behind this technology is collecting health data with highest possible accuracy and sharing it with remotely present health specialists. The wearable devices can collect body data most accurately and can send data to cloud for sharing it with remotely present health specialists. But, we know, sharing medical information is very critical and challenging issue because medical information contains patient’s important and highly confidential information. On the other hand, medical ethics says that doctors cannot share patient’s health records with others without the consent of patient. Such data will be shared between only authentic persons in cloud. The chain of processing mainly includes data collection, data storage, and data sharing. In this work a protected cloudlet based medical data sharing is proposed. In this paper, three major issues pertaining to medical data sharing are addressed. Firstly, a method for secured medical data sharing using cloudlet is proposed. During data collection, Number Theory Research Unit (NTRU) method used to encrypt user’s body data collected by wearable devices, then transmitted to nearby cloudlet. Secondly, a new trust model to help users to select trustable partners for sharing stored data in the cloudlet is presented. This model is to help similar patients to communicate with each other. Thirdly, a novel collaborative intrusion detection system (IDS) method based on cloudlet mesh is proposed, which can effectively prevent the remote healthcare big data cloud from attacks. Finally, an analysis of security to the information is presented and the results are quite encouraging.

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