scholarly journals Main Influencing Factors of Quality Determination of Collaborative Open Data Pages

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 283
Author(s):  
Ralf-Christian Härting ◽  
Włodzimierz Lewoniewski
Keyword(s):  
Influencing Factors ◽  
Qualitative Content Analysis ◽  
Open Data ◽  
Knowledge Bases ◽  
Poor Quality ◽  
Process Efficiency ◽  
Sources Of Information ◽  
Structured Interviews

Collaborative knowledge bases allow anyone to create and edit information online. One example of a resource with collaborative content is Wikipedia. Despite the fact that this free encyclopedia is one of the most popular sources of information in the world, it is often criticized for the poor quality of its content. Articles in Wikipedia in different languages on the same topic, can be created and edited independently of each other. Some of these language versions can provide very different but valuable information on each topic. Measuring the quality of articles using metrics is intended to make open data pages such as Wikipedia more reliable and trustworthy. A major challenge is that the ‘gold standard’ in determining the quality of an open data page is unknown. Therefore, we investigated which factors influence the potentials of quality determination of collaborative open data pages and their sources. Our model is based on empirical data derived from the experience of international experts on knowledge management and data quality. It has been developed by using semi-structured interviews and a qualitative content analysis based on Grounded Theory (GT). Important influencing factors are: Better outcomes, Better decision making, Limitations, More efficient workflows for article creation and review, Process efficiency, Quality improvement, Reliable and trustworthy utilization of data.

scholarly journals Geospatial Open Data Usage and Metadata Quality

2021 ◽  
Vol 10 (1) ◽  
pp. 30
Author(s):  
Alfonso Quarati ◽  
Monica De Martino ◽  
Sergio Rosim
Keyword(s):  
Spatial Information ◽  
Open Data ◽  
Poor Quality ◽  
Data Usage ◽  
Open Government Data ◽  
Metadata Quality ◽  
Geospatial Datasets ◽  
Government Data ◽  
Determining Factor

The Open Government Data portals (OGD), thanks to the presence of thousands of geo-referenced datasets, containing spatial information are of extreme interest for any analysis or process relating to the territory. For this to happen, users must be enabled to access these datasets and reuse them. An element often considered as hindering the full dissemination of OGD data is the quality of their metadata. Starting from an experimental investigation conducted on over 160,000 geospatial datasets belonging to six national and international OGD portals, this work has as its first objective to provide an overview of the usage of these portals measured in terms of datasets views and downloads. Furthermore, to assess the possible influence of the quality of the metadata on the use of geospatial datasets, an assessment of the metadata for each dataset was carried out, and the correlation between these two variables was measured. The results obtained showed a significant underutilization of geospatial datasets and a generally poor quality of their metadata. In addition, a weak correlation was found between the use and quality of the metadata, not such as to assert with certainty that the latter is a determining factor of the former.

Usability of India’s government statistics1

2020 ◽  
pp. 1-17
Author(s):  
Vikas Kumar
Keyword(s):  
National Sample ◽  
Poor Quality ◽  
Sample Surveys ◽  
Sources Of Information ◽  
Cross Sectional ◽  
Jammu And Kashmir ◽  
The Poor ◽  
Government Statistics

The quality of metadata is a crucial determinant of usability/interpretability of data. This paper draws attention to the poor quality of India’s government statistics and the paucity of metadata necessary to understand the problems. The paper suggests that there has been a decline in India both in terms of the availability and quality of metadata for key government sources of information including maps, decennial population censuses and National Sample Surveys amidst growing sophistication in the understanding of metadata. The poor quality of metadata impairs cross-sectional as well as inter-temporal comparisons and policymaking apart from concealing biases and lapses of government statisticians. The paper draws on the experience of three states – erstwhile Jammu and Kashmir, Manipur and Nagaland – where government statistics have been affected by serious errors that are not well-understood due to the lack of adequate metadata.

Quality of Design Documentation in the Construction Industry: A Review Using Meta-Synthesis Approach

2021 ◽  
Vol 18 (06) ◽  
Author(s):  
Peter Dodzi Kwasi Agbaxode ◽  
Sitsabo Dlamini ◽  
Ehsan Saghatforoush
Keyword(s):  
Construction Industry ◽  
Influencing Factors ◽  
Construction Projects ◽  
Poor Quality ◽  
Improve Design ◽  
Documentation Quality ◽  
Design Documentation ◽  
Quality Design ◽  
Synthesis Approach

A meta-synthesis approach was used to identify, synthesize, and categorize appropriately factors in the literature that contribute to design documentation quality. The categories include factors on quality attributes, quality indicators, and quality-influencing factors. Findings indicate that the quality of design documentation in practice is unsatisfactory, therefore, there is a need for collaboration between the owner, designers, and end-users to improve design documentation quality. The results offer pragmatic data on design documentation quality in the construction industry between the years 1992 and 2019. However, further research on the significant impacts of poor-quality design documentation on construction projects is recommended.

scholarly journals Exploring the experiences of nurses caring for patients with COVID-19: a qualitative study in Iran

BMC Nursing ◽  
2022 ◽  
Vol 21 (1) ◽  
Author(s):  
Sudabeh Ahmadidarrehsima ◽  
Nasibeh Salari ◽  
Neda Dastyar ◽  
Foozieh Rafati
Keyword(s):  
Compassion Fatigue ◽  
Qualitative Content Analysis ◽  
Patient Care Team ◽  
Social Experiences ◽  
Mitigation Strategies ◽  
Structured Interviews ◽  
Master's Degrees ◽  
Social Burden ◽  
Professional Needs

Abstract Background The coronavirus disease (COVID-19) is now a major public health emergency in the world. Nurses as key members of the COVID-19 patient care team are exposed to most challenges caused by the disease. As exploring the experiences of nurses as patient supporters and caregivers can play an important role in improving the quality of care for patients with COVID-19 disease, the present study explored the experiences of nurses caring for patients with COVID-19. Methods The study employed a qualitative design. This study employed purposive sampling to select 10 nurses with bachelors and master’s degrees in nursing who were taking care of patients with COVID-19 in ICUs or inpatient wards in southern Iran. Data were collected through semi-structured interviews. The collected data were analyzed using the qualitative content analysis procedure proposed by Graneheim and Lundman. Results The analysis of the data revealed four main themes and ten sub-themes: A) physical, psychological, and social burden of care (excessive workload; fear, anxiety, worry; unpleasant social experiences; compassion fatigue) B) unmet needs (personal needs and professional needs) C) positive experiences (pleasant social experiences and inner satisfaction), and D) strategies (problem-solving strategies and stress symptom mitigation strategies). Conclusions An analysis of the themes and subthemes extracted in this study suggested that the nurses who participated in this study faced many personal and professional challenges. Therefore, health officials and specialists need to pay special attention to nurses’ challenges and needs.

An Unsupervised Approach for Determining Link Specifications

2018 ◽  
Vol 13 (4) ◽  
pp. 104-123
Author(s):  
Khayra Bencherif ◽  
Mimoun Malki ◽  
Djamel Amar Bensaber
Keyword(s):  
Linked Data ◽  
Open Data ◽  
Real Data ◽  
Knowledge Bases ◽  
Structured Data ◽  
Data Sets ◽  
Novel Approach ◽  
Link Discovery ◽  
Unsupervised Approach

This article describes how the Linked Open Data Cloud project allows data providers to publish structured data on the web according to the Linked Data principles. In this context, several link discovery frameworks have been developed for connecting entities contained in knowledge bases. In order to achieve a high effectiveness for the link discovery task, a suitable link configuration is required to specify the similarity conditions. Unfortunately, such configurations are specified manually; which makes the link discovery task tedious and more difficult for the users. In this article, the authors address this drawback by proposing a novel approach for the automatic determination of link specifications. The proposed approach is based on a neural network model to combine a set of existing metrics into a compound one. The authors evaluate the effectiveness of the proposed approach in three experiments using real data sets from the LOD Cloud. In addition, the proposed approach is compared against link specifications approaches to show that it outperforms them in most experiments.

scholarly journals Determination of prioritization for maintenance of the upper structure of truss bridge

2019 ◽  
Vol 276 ◽  
pp. 01036 ◽  
Author(s):  
Heni Fitriani ◽  
M. Ade Surya Pratama ◽  
Yakni Idris ◽  
Gunawan Tanzil
Keyword(s):  
Poor Quality ◽  
Truss Bridges ◽  
Vehicle Load ◽  
Bridge Maintenance ◽  
Wide Range ◽  
Maintenance Systems ◽  
Truss Bridge ◽  
Hierarchy Process

Bridge maintenance is one of the major issues of infrastructure problems. Deterioration of a bridge’s structure will continuously increase without proper maintenance. This condition will adversely affect the service life of a bridge. Moreover, the damage will also have a direct impact on structural and functional failure of the bridge. This paper aims at identifying the damages of truss bridges and determining the most significant criteria and sub-criteria used in prioritizing bridge maintenance. Analytical Hierarchy Process (AHP) was used to assess the most important criteria that give significant weight to bridge maintenance analysis. The objects of research were nine truss bridges with a wide range of types and levels of damage. It was found that there were approximately 900 m' of components damaged at the railing of Baruga Bridge and 227 m' truss damages due to poor quality of the galvanized paint. Furthermore, based on the analysis, the most significant criteria were the level of damage (27.6%), the technical aspects (25.7%), the finance (21%), the vehicle load (13.6%) and the resources (12%). The results of this research showed important findings in determining the priority scales for bridge repair and maintenance systems.

scholarly journals The quality of carbon management accounting reporting as a financial barrier to clean development mechanism projects development

2018 ◽  
Vol 16 (3) ◽  
pp. 345-354
Author(s):  
André Luiz Bufoni ◽  
Aracéli Cristina de Sousa Ferreira ◽  
Luciano Basto Oliveira
Keyword(s):  
Clean Development Mechanism ◽  
Qualitative Content Analysis ◽  
Ghg Emissions ◽  
Poor Quality ◽  
Research Field ◽  
Emissions Reduction ◽  
Disclosure Quality ◽  
Analysis Methodology ◽  
Development Mechanism

Abstract Recent works reveal that financial attractiveness is a severe barrier to the GHG emissions reduction projects in developing countries. Because of price collapse of the carbon market since 2013, the importance of projects budgeting and forecast has risen. This article aims to investigate the financial information and disclosure quality of 432 projects of the waste management sector using UNFCCC’s Clean Development Mechanism as a Kyoto Protocol Instrument. The research used the qualitative content analysis methodology supported by NVivo® software. The results indicate that the lack of reporting standards and the poor-quality information lead to significant reduction of the audits utility, due to the uniformity, consistency, trustworthiness, and predictive and feedback qualitative characteristics of data presented. The real situation and the performance of initiatives are hardly known, but according to data activities, projects are continually compromised. However, the study concludes that the need for quality is a great professional and research field to explore.

scholarly journals REFLECTIVE PORTFOLIO IN PROFESIONAL TRAINIGH OF FUTURE SPECIALITS

2021 ◽  
Vol 1 (192) ◽  
pp. 48-53
Author(s):  
Larysa Garbuzenko ◽  
◽  
Svitlana Omelianenko ◽  
Keyword(s):  
Professional Training ◽  
Sources Of Information ◽  
Working Process ◽  
Self Assessment ◽  
Preparatory Stage ◽  
Three Stages ◽  
Training Exercises ◽  
Reflective Skills

The authors make actual the possibilities of a reflexive portfolio use in future specialists’ professional training. A reflexive portfolio provides an assessment and self-assessment of achieving goals, features of the course and quality of work with various sources of information, feelings, reflections, impressions and it also reflects both a problem of a study topic and a working process on it. An algorithm for creating a reflective portfolio is considered, which consists of three stages. The preparatory stage provides modelling of the structure and content of a reflexive portfolio. The search and analytical stage includes the systematization of materials reflecting the analysis, evaluation of the process and results of activities. At the final stage, there is a reflection of one’s own reflective activity and the presentation of a reflective portfolio. The article suggests the structure of a reflective portfolio: sections «My expectations», «A step to success», «Defect-effect», «I am a creator». In the process of the creation and presentation of a reflective portfolio, training exercises «The goal of studying», «The chart of my goals», «A suitcase», «The diary of double notes», «Gifts», which develop situational, retrospective and prospective reflection in students. Based on the results of the analysis of the results of the implementation of a reflexive portfolio, it was revealed that this work contributes to the development of reflective skills, the determination of the possibilities of one’s own activity, the choice of optimal options for achieving the intended goals, and the forecasting of the results of one’s activity.

Identification of factors that influence occupational accidents in the petroleum industry: A qualitative approach

Work ◽  
2020 ◽  
Vol 67 (2) ◽  
pp. 419-430
Author(s):  
Zahra Naghavi-Konjin ◽  
Seyed Bagher Mortazavi ◽  
Hassan Asilian Mahabadi ◽  
Ebrahim Hajizadeh
Keyword(s):  
Organizational Climate ◽  
Influencing Factors ◽  
Occupational Safety ◽  
Qualitative Content Analysis ◽  
Influence Factors ◽  
Petroleum Industry ◽  
Organizational Factors ◽  
Qualitative Approach ◽  
Occupational Accidents ◽  
Structured Interviews

BACKGROUND: Exploring experiences of individuals for barriers they confront relating to safety could help to design safety interventions with an emphasis on the most safety influencing factors. OBJECTIVE: This study strived to present an empirical exploration of individuals’ experiences across the petroleum industry at different levels of the organizational structure for factors that influence occupational accidents. METHOD: Based on accidents history, face-to-face semi-structured interviews were conducted with individuals who engaged in fatal activities, as well as authorities responsible for managing safety. The qualitative content analysis of 46 interview transcripts was conducted using MAXQDA software. RESULTS: A three-layer model comprising organizational, supervisory and operator level influencing factors with 16 categories were found influence factors of occupational safety. The results highlighted the role of organizational factors, including inappropriate contract management, inadequate procedures, and issues relating to competency management and the organizational climate. Moreover, defects relating to the monitoring and supervision system were identified as important causes of accidents. CONCLUSIONS: The findings demonstrated that the qualitative approach could reveal additional latent aspects of safety influencing factors, which require consideration for the appropriate management of occupational safety. This study can guide the planning of preventive strategies for occupational accidents in the petroleum industry.

Perceptions of prognosis and goals of care in patients receiving radiation therapy.

2019 ◽  
Vol 37 (31_suppl) ◽  
pp. 30-30
Author(s):  
Claudia Sofia Roldan ◽  
Jie Jane Chen ◽  
Alexandra N. Nichipor ◽  
Tracy A. Balboni ◽  
Monica Shalini Krishnan ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Radiation Therapy ◽  
Lung Metastases ◽  
Qualitative Content Analysis ◽  
Metastatic Cancer ◽  
Structured Interviews ◽  
Goals Of Care ◽  
Palliative Radiation Therapy ◽  
Medical Teams

30 Background: We aimed to gain insight into the experiences and perceptions of patients with advanced metastatic cancer surrounding palliative radiation therapy (RT). Methods: In-depth structured interviews were conducted from 9/2016 to 10/2018 with 17 patients with bone or lung metastases receiving their first course of palliative RT. Patient answers about understandings of goals of care and disease prognosis were recorded and analyzed through qualitative content analysis. Medical records were reviewed to obtain demographic and clinical data. Results: The median age of patients was 64 years (range: 21-82). The median survival from time of metastatic diagnosis was 17.6 months (range: 1-46). When asked about goals of RT, qualitative analysis revealed that half (53%) linked receiving palliative RT to improving their quality of life, however 35% believed RT would completely get rid of their tumor. Words that were used commonly throughout patient answers included alleviating pain (41%), cure (29%), and reducing tumor growth (24%). All patients reported they received their information about goals of care from their medical teams. When asked about prognosis, 53% said prognosis had been discussed with them, whereas 76.5% said they were interested in information about prognosis. When asked “What do you believe lies ahead?,” about half (47%) expressed uncertainty about the future, while others (41%) were focused on the next steps in treatment. In the patients interested in learning more about their prognosis, there was a strong preference for this information to come from their medical teams. Conclusions: More than half of patients accurately identified the goal of RT as improving their quality of life, however some patients believed that the palliative RT would cure their tumor. This highlights the ongoing gap in patient provider communication and the need for improvement in this area. Inaccurate perceptions of goals of treatment and prognosis may motivate some patients to pursue unnecessarily aggressive treatments, which could affect quality of life without improving survival. Referrals to radiation oncologists present a potential opportunity to reopen discussions on goals of care and prognosis to adjust patient expectations.

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