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Wyszukujesz frazę "data quality" wg kryterium: Temat


Tytuł:
Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul
Autorzy:
Basaraner, Melih
Powiązania:
https://bibliotekanauki.pl/articles/1191768.pdf
Data publikacji:
2020
Wydawca:
Oddział Kartograficzny Polskiego Towarzystwa Geograficznego
Tematy:
OpenStreetMap
building features
geometric data quality
semantic data quality
topographic data
Opis:
Nowadays volunteered geographic information (VGI) and collaborative mapping projects such as OpenStreetMap (OSM) have gained popularity as they not only offer free data but also allow crowdsourced contributions. Spatial data entry in this manner creates quality concerns for further use of the VGI data. In this regard, this article focuses on the assessments of geometric and semantic quality of the OSM building features (BFs) against a large-scale topographic (TOPO) data belonging to some areas of Istanbul. The comparison is carried out based on the one-to-one matched BFs according to a geometric matching ratio. In geometric terms, various parameters of position (i.e. X, Y), size (i.e. area, perimeter and granularity), shape (i.e. convexity, circularity, elongation, equivalent rectangular index, rectangularity and roughness index), and orientation (i.e. orientation angle) elements are computed and compared. In semantic terms, BF type coherences are evaluated. According to the findings of geometric quality, the average positional difference was less than three meters. In addition, the perimeter values tended to decrease while area and granularity values tended to increase in OSM data against TOPO data. Those showed that the level of the detail of the OSM BFs was lower than TOPO BFs in general. This was also confirmed by the decreasing tendency of shape complexity according to the parameters of shape element. Orientation angle differences was often low except for some special cases. It was found that the scale of the OSM dataset, even though not homogenous, approximately corresponded to the lower limit of medium scale maps (i.e. 1:10,000) or a slightly smaller scale. According to the findings of semantic quality, in case of the presence of specific type definition, the coherence was rather high between OSM and TOPO BFs while the most OSM BFs did not have a specific type attribute. This study showed that the matching process needed some improvements while the followed approach was largely successful in the evaluation of the matched buildings from geometric and semantic aspects.
Źródło:
Polish Cartographical Review; 2020, 52, 3; 94-107
2450-6974
Pojawia się w:
Polish Cartographical Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An algorithm for data quality assessment in predictive toxicology
Autorzy:
Malazizi, L.
Neagu, D.
Chaudhry, Q.
Powiązania:
https://bibliotekanauki.pl/articles/1943267.pdf
Data publikacji:
2007
Wydawca:
Politechnika Gdańska
Tematy:
QSAR models
data quality
data cleaning
Opis:
Lack of the quality of the information that is integrated from heterogeneous sources is an important issue in many scientific domains. In toxicology the importance is even greater since the data is used for Quantitative Structure Activity Relationship (QSAR) modeling for prediction of chemical toxicity of new compounds. Much work has been done on QSARs but little attention has been paid to the quality of the data used. The underlying concept points to the absence of the quality criteria framework in this domain. This paper presents a review on some of the existing data quality assessment methods in various domains and their relevance and possible application to predictive toxicology, highlights number of data quality deficiencies from experimental work on internal data and also proposes some quality metrics and an algorithm for assessing data quality concluded from the results.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2007, 11, 1-2; 103-115
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The method for the quality evaluation of open geospatial data for creation and updating of datasets for National Spatial Data Infrastructure in Ukraine
Autorzy:
Kin, Danylo
Lazorenko-Hevel, Nadiia
Powiązania:
https://bibliotekanauki.pl/articles/1505977.pdf
Data publikacji:
2021
Wydawca:
Oddział Kartograficzny Polskiego Towarzystwa Geograficznego
Tematy:
open data
data quality
GKI
NSDI
RDF
Opis:
The purpose of the article is to present the research on method of the quality evaluation of published open geospatial data and its implementation in Ukraine. The method of the quality evaluation of open geospatial data considers the international standard ISO 19157 “Geographic information. Data quality”. This method is to determine the number of points or levels (maximum - 5). The research was carried out for the evaluation of open geoinformation resources for production of geospatial datasets, as denfied in the Ukrainian Law on NSDI. The authors evaluated the quality of 142 open geoinformation resources and other information resources (materials) for the production and updating of 34 geospatial datasets for the development of NSDI in Ukraine. The authors present the example of the quality evaluation of geospatial data for datasets: “State Geodetic Reference Coordinate System UCS-2000”, “State Geodetic Network”, “Geographical Names” and “Administrative Units” because they are the components of the Core Reference Dataset of NSDI. Limitations of the research were determined by the adopted the Law of Ukraine “On National Spatial Data Infrastructure” and the Order for NSDI functioning in Ukraine and the requirements of the international standard ISO 19157 “Geographic information. Data quality”. The results of the research will be employed to evaluate the quality of NSDI implementation in Ukraine. The proposed method allows evaluating the quality of open geospatial dataset before using them for analysis and modeling of terrain, phenomena. This method takes into account the quality of geospatial data, and its related requirements for their production, updating and publication.
Źródło:
Polish Cartographical Review; 2021, 53; 13-20
2450-6974
Pojawia się w:
Polish Cartographical Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Knowledge mining from data: methodological problems and directions for development
Autorzy:
Kulikowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/1934003.pdf
Data publikacji:
2011
Wydawca:
Politechnika Gdańska
Tematy:
data mining
knowledge discovery
data quality
CODATA
Opis:
The development of knowledge engineering and, within its framework, of data mining or knowledge mining from data should result in the characteristics or descriptions of objects, events, processes and/or rules governing them, which should satisfy certain quality criteria: credibility, accuracy, verifiability, topicality, mutual logical consistency, usefulness, etc. Choosing suitable mathematical models of knowledge mining from data ensures satisfying only some of the above criteria. This paper presents, also in the context of the aims of The Committee on Data for Science and Technology (CODATA), more general aspects of knowledge mining and popularization, which require applying the rules that enable or facilitate controlling the quality of data.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2011, 15, 2; 227-233
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Processing of 3D Weather Radar Data with Application for Assimilation in the NWP Model
Autorzy:
Ośródka, Katarzyna
Szturc, Jan
Jakubiak, Bogumił
Jurczyk, Anna
Powiązania:
https://bibliotekanauki.pl/articles/2037641.pdf
Data publikacji:
2014-10-10
Wydawca:
Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:
Weather radar
radar refectivity
data quality
data assimilation
Opis:
The paper is focused on the processing of 3D weather radar data to minimize the impact of a number of errors from different sources, both meteorological and non-meteorological. The data is also quantitatively characterized in terms of its quality. A set of dedicated algorithms based on analysis of the reflectivity field pattern is described. All the developed algorithms were tested on data from the Polish radar network POLRAD. Quality control plays a key role in avoiding the introduction of incorrect information into applications using radar data. One of the quality control methods is radar data assimilation in numerical weather prediction models to estimate initial conditions of the atmosphere. The study shows an experiment with quality controlled radar data assimilation in the COAMPS model using the ensemble Kalman filter technique. The analysis proved the potential of radar data for such applications; however, further investigations will be indispensable.
Źródło:
Miscellanea Geographica. Regional Studies on Development; 2014, 18, 3; 31-39
0867-6046
2084-6118
Pojawia się w:
Miscellanea Geographica. Regional Studies on Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Methodology of assessing quality of spatial data describing course of shoreline as tool supporting water resource management process
Autorzy:
Kwartnik-Pruc, Anita
Mączyńska, Aneta
Powiązania:
https://bibliotekanauki.pl/articles/27312658.pdf
Data publikacji:
2023
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
data quality
data validity
shoreline
water resource management
Opis:
The proper management of water resources is currently an important issue, not only in Poland, but also worldwide. Water resource management involves various activities including monitoring, modelling, assessment and designing the condition and extent of waters sources. The efficient management of water resources is essential, especially in rural areas where it ensures greater stability and efficiency of production in all sectors of the economy and leads to the well-being of the ecosystem. The performed analyses have demonstrated that the time of origin of the cadastral data defining the course of water boundaries has a significant effect on their quality. Having analysed the factors (timeliness, completeness, redundancy) used to assess the quality of cadastral data, their clear trend of changes in time was noticed. Thus, it is possible to specify the estimated degree of quality of cadastral data defining the course of watercourse boundaries only based on the information about the method, time and area of data origin in the context of the former partition sector. This research paper presents an original method of assessing the quality of spatial data that is used to determine the course of the shoreline of natural watercourses with unregulated channels flowing through agricultural land. The research has also demonstrated that in order to increase the efficiency of work, the smallest number of principal factors should be selected for the final analysis. Limiting the analyses to a smaller number of factors does not affect the final result, yet it definitely reduces the amount of work.
Źródło:
Journal of Water and Land Development; 2023, 57; 167--180
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neonatal Mortality by Gestational Age and Birth Weight in Italy, 1998-2003: A Record Linkage Study
Autorzy:
Marini, Cristiano
Nuccitelli, Alessandra
Powiązania:
https://bibliotekanauki.pl/articles/465989.pdf
Data publikacji:
2011
Wydawca:
Główny Urząd Statystyczny
Tematy:
administrative data
Boolean linear programming
data quality
greedy algorithm
Opis:
Neonatal mortality rates by gestational age and birth weight category are important indicators of maternal and child health and care quality. However, due to recent laws on administrative simplification and privacy, these specific rates have not been calculated in Italy since 1999. The main aim of this work is to assess the possibility of retrieving information on neonatal mortality by the linkage between records related to live births and records related to infant deaths within the first month of life, with reference to 2003 and 2004 birth cohorts. From a strict methodological point of view, some critical aspects of the most used record linkage approach are highlighted: specific problems may arise from the choice of records to be linked if there are consistency constraints between pairs (in this context, one death record can be linked to at most one birth record). In the light of considerations on the quality of the starting data, the retrieval of information on neonatal mortality by gestational age and birth weight is restricted to Northern Italy. Specific neonatal mortality rates are provided with reference to 2003 and discussed with particular emphasis on quality issues in the data collection processes.
Źródło:
Statistics in Transition new series; 2011, 12, 1; 207-222
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
ICA and ICS-based rankings of EU countries according to quality of mirror data on intra-Community trade in goods in the years 2014-2017
Autorzy:
Markowicz, Iwona
Baran, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/19090893.pdf
Data publikacji:
2019
Wydawca:
Instytut Badań Gospodarczych
Tematy:
official statistics data quality
mirror data
intra-Community trade
EU
Opis:
Research background: As a system of official EU statistics, Intrastat contains data collected by Member States aggregated by Eurostat on the Union's level in the form of COMEXT database. Country-level data are based on declarations made by businesses dispatching or acquiring goods from other EU Member States. Since the same transaction is declared twice - as an ICS in one country and at the same time as an ICA in another country by the partner - the database contains mirror data. Analysis of mirror data lets us assess the quality of public statistics data on international trade. Purpose of the article: The aim of the article is to rank EU Member States according to quality of data on intra-Community trade in goods collected by Intrastat. Foreign trade stimulates economic development on one hand and is the development's reflection on the other. Thus it is very important that official statistics in this area be of good quality. Analysis of mirror data from partner states in intra-Community trade in goods allows us to claim that not every Member State pro-vides data of satisfactory quality level. Methods: We used the authors' methodology of assessing quality of mirror data. These include data asymmetry indices, both proposed by Eurostat and the authors' own proposals. We have also examined the changes in the above mentioned rankings over time. Findings & Value added: The result of the survey is ordering of EU Member States according to the quality of data on intra-Community trade in goods. The rankings are presented for the period of 2014-2017, during which there were 28 Member States of the EU. Changes in distinct countries' positions were shown as a result of changes in overall quality of statistical data collected in these countries. The research methodology can be used in the process of monitoring data quality of the Intrastat system.
Źródło:
Oeconomia Copernicana; 2019, 10, 1; 55-68
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of ARIMA Models for the Analysis of Utilization Process of Military Technical Objects
Autorzy:
Borucka, Anna
Powiązania:
https://bibliotekanauki.pl/articles/503736.pdf
Data publikacji:
2018
Wydawca:
Międzynarodowa Wyższa Szkoła Logistyki i Transportu
Tematy:
aircraft
forecasting
ARIMA models
military data analysis
data quality issue
Opis:
The newest solutions in Polish Armed Forces are implemented gradually and focus mainly on soldiers’ combat readiness. Many concurrent processes occur, for which proper analysis and interpretation could constitute command process and task realization support; however poor and standing (paper) record seems to be an obstacle in their modelling. Therefore the author of the article tried to depict the process of military technical objects exploitation based on archived data according to present methods of documents preparation, circuit and record, applicable in Polish Armed Forces. Based on that, the method of research the readiness of aircraft ships from military air base, powered by ARIMA model, was proposed. Using empirical data of two years of exploitation, the identification of researched time series, and then a few models estimation was made. Finally, the best model was chosen and verified.
Źródło:
Logistics and Transport; 2018, 37, 1; 13-22
1734-2015
Pojawia się w:
Logistics and Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Microarray Inspector: tissue cross contamination detection tool for microarray data
Autorzy:
Stępniak, Piotr
Maycock, Matthew
Wojdan, Konrad
Markowska, Monika
Perun, Serhiy
Srivastava, Aashish
Wyrwicz, Lucjan
Świrski, Konrad
Powiązania:
https://bibliotekanauki.pl/articles/1039460.pdf
Data publikacji:
2013
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
microarray
transcription profiling
contamination analysis
adipose tissue
cancer
data quality
Opis:
Microarray technology changed the landscape of contemporary life sciences by providing vast amounts of expression data. Researchers are building up repositories of experiment results with various conditions and samples which serve the scientific community as a precious resource. Ensuring that the sample is of high quality is of utmost importance to this effort. The task is complicated by the fact that in many cases datasets lack information concerning pre-experimental quality assessment. Transcription profiling of tissue samples may be invalidated by an error caused by heterogeneity of the material. The risk of tissue cross contamination is especially high in oncological studies, where it is often difficult to extract the sample. Therefore, there is a need of developing a method detecting tissue contamination in a post-experimental phase. We propose Microarray Inspector: customizable, user-friendly software that enables easy detection of samples containing mixed tissue types. The advantage of the tool is that it uses raw expression data files and analyses each array independently. In addition, the system allows the user to adjust the criteria of the analysis to conform to individual needs and research requirements. The final output of the program contains comfortable to read reports about tissue contamination assessment with detailed information about the test parameters and results. Microarray Inspector provides a list of contaminant biomarkers needed in the analysis of adipose tissue contamination. Using real data (datasets from public repositories) and our tool, we confirmed high specificity of the software in detecting contamination. The results indicated the presence of adipose tissue admixture in a range from approximately 4% to 13% in several tested surgical samples.
Źródło:
Acta Biochimica Polonica; 2013, 60, 4; 647-655
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł

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