WordNet

plot a map of (land)
a detailed critical inspection (同)study
consider in a comprehensive way; "He appraised the situation carefully before acting" (同)appraise
look over carefully or inspect; "He surveyed his new classmates"
make a survey of; for statistical purposes
someone who responds (同)responder, answerer
the codefendant (especially in a divorce proceeding) who is accused of adultery with the corespondent
the act of gathering something together (同)collecting, assembling, aggregation
several things grouped together or considered as a whole (同)aggregation, accumulation, assemblage
a publication containing a variety of works (同)compendium
a collection of facts from which conclusions may be drawn; "statistical data" (同)information
use of chemical analysis to estimate the age of geological specimens (同)geological dating

PrepTutorEJDIC

(全体的に)〈景色など〉‘を'『見渡す』,〈情勢など〉‘を'『概観する』 / (状態・価値などを確かめるため評細に)…‘を'『調査する』,検分する / 〈土地〉‘を'『測量する』 / 土地を測量する / 〈C〉〈U〉(…の)(詳細な)『調査』,検分《+of+名》 / 〈C〉(…を)『見渡すこと』,(…の)概観《+of+名》 / 〈C〉〈U〉(土地の)測量 / 〈C〉測量図
答える,応答する / 反応する / (特に離婚裁判の)被上訴人,被告,被告人
〈U〉〈C〉(…を)『集めること』,(…の)収集,採集;(税金などの)徴集,集金《+『of』+『名』》 / 〈C〉(…の)『収集物』,収蔵物,コレクション《+『of』+『名』》 / 〈U〉『募金』,〈C〉寄付金,献金 / 〈C〉(水・ちりなどの)堆積,集積,たまり《+『of』+『名』》
『資料』,事実;情報

Wikipedia preview

出典(authority):フリー百科事典『ウィキペディア（Wikipedia）』「2017/08/14 21:40:15」(JST)

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Example of data collection in the biological sciences: Adélie penguins are identified and weighed each time they cross the automated weighbridge on their way to or from the sea.^[1]

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a component of research in all fields of study including physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the questions that have been posed.

Importance

Regardless of the field of study or preference for defining data (quantitative or qualitative), accurate data collection is essential to maintaining the integrity of research. Both the selection of appropriate data collection instruments (existing, modified, or newly developed) and clearly delineated instructions for their correct use reduce the likelihood of errors occurring.

A formal data collection process is necessary as it ensures that the data gathered are both defined and accurate and that subsequent decisions based on arguments embodied in the findings are valid.^[2] The process provides both a baseline from which to measure and in certain cases an indication of what to improve.

Impact of faulty data

Consequences from improperly collected data include:

Inability to answer research questions accurately;
Inability to repeat and validate the study.

Distorted findings result in wasted resources and can mislead other researchers into pursuing fruitless avenues of investigation; it may also compromise decisions, for example for public policy, which may cause disproportionate harm.^[3]

References

^ Lescroël, A. L.; Ballard, G.; Grémillet, D.; Authier, M.; Ainley, D. G. (2014). Descamps, Sébastien, ed. "Antarctic Climate Change: Extreme Events Disrupt Plastic Phenotypic Response in Adélie Penguins". PLoS ONE. 9 (1): e85291. PMC 3906005 . PMID 24489657. doi:10.1371/journal.pone.0085291.
^ Data Collection and Analysis By Dr. Roger Sapsford, Victor Jupp ISBN 0-7619-5046-X
^ Weimer, J. (ed.) (1995). Research Techniques in Human Engineering. Englewood Cliffs, NJ: Prentice Hall ISBN 0-13-097072-7

External links

Bureau of Statistics, Guyana by Arun Sooknarine

UpToDate Contents

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1. 集中治療室（ICU）における予測スコアシステム predictive scoring systems in the intensive care unit
2. 喘息の疫学 epidemiology of asthma
3. 長期介護施設における感染管理の原則 principles of infection control in long term care facilities
4. 癌検診のための乳房の画像検査：マンモグラフィーおよび超音波検査 breast imaging for cancer screening mammography and ultrasonography
5. 副腎皮質機能の臨床検査の基本原則 basic principles in the laboratory evaluation of adrenocortical function

English Journal

Using a participatory evaluation design to create an online data collection and monitoring system for New Mexico's Community Health Councils.

Andrews ML, Sánchez V, Carrillo C, Allen-Ananins B, Cruz YB.SourceFamily & Community Medicine, Public Health Program, MSC 09_5060, 1 University of New Mexico 87131, Albuquerque, NM 87131, United States.
Evaluation and program planning.Eval Program Plann.2014 Feb;42:32-42. doi: 10.1016/j.evalprogplan.2013.09.003. Epub 2013 Sep 20.
We present the collaborative development of a web-based data collection and monitoring plan for thirty-two county councils within New Mexico's health council system. The monitoring plan, a key component in our multiyear participatory statewide evaluation process, was co-developed with the end users:
PMID 24184843

Utilization of elongation factor Tu gene (tuf) sequencing and species-specific PCR (SS-PCR) for the molecular identification of Acetobacter species complex.

Huang CH, Chang MT, Huang L, Chu WS.SourceBioresource Collection and Research Center, Food Industry Research and Development Institute, 331 Shih-Pin Road, Hsinchu 30062, Taiwan, ROC.
Molecular and cellular probes.Mol Cell Probes.2014 Feb;28(1):31-3. doi: 10.1016/j.mcp.2013.07.004. Epub 2013 Aug 19.
The aim of this study was to use tuf gene as a molecular target for species discrimination in the Acetobacter genus, as well as to develop species-specific PCR method for direct species identification of Acetobacter aceti. The results showed that most Acetobacter species could be clearly distinguish
PMID 23969032

Time domain functional NIRS imaging for human brain mapping.

Torricelli A, Contini D, Pifferi A, Caffini M, Re R, Zucchelli L, Spinelli L.SourcePolitecnico di Milano, Dipartimento di Fisica, piazza Leonardo da Vinci 32, I-20133, Milan, Italy. Electronic address: alessandro.torricelli@polimi.it.
NeuroImage.Neuroimage.2014 Jan 15;85 Pt 1:28-50. doi: 10.1016/j.neuroimage.2013.05.106. Epub 2013 Jun 5.
This review is aimed at presenting the state-of-the-art of time domain (TD) functional near-infrared spectroscopy (fNIRS). We first introduce the physical principles, the basics of modeling and data analysis. Basic instrumentation components (light sources, detection techniques, and delivery and col
PMID 23747285