A New Approach of Imprecision Management in Qualitative Data Warehouse

2015 ◽  
pp. 115-132
Keyword(s):  
Data Warehouse ◽  
Qualitative Data ◽  
New Approach

Social organization in the Orcadian Neolithic: identification of elite domestic structures and settlements through analysis of excavation data

2018 ◽  
Vol 40 (1) ◽  
pp. 25-53 ◽  
Author(s):  
David MacInnes
Keyword(s):  
Social Organization ◽  
Qualitative Data ◽  
Social Hierarchy ◽  
Published Data ◽  
Early Neolithic ◽  
Late Neolithic ◽  
New Approach ◽  
Qualitative Evidence ◽  
Methods Of Analysis ◽  
The Subject

The nature of social organization during the Orcadian Neolithic has been the subject of discussion for several decades with much of the debate focused on answering an insightful question posed by Colin Renfrew in 1979. He asked, how was society organised to construct the larger, innovative monuments of the Orcadian Late Neolithic that were centralised in the western Mainland? There are many possible answers to the question but little evidence pointing to a probable solution, so the discussion has continued for many years. This paper takes a new approach by asking a different question: what can be learned about Orcadian Neolithic social organization from the quantitative and qualitative evidence accumulating from excavated domestic structures and settlements?In an attempt to answer this question, quantitative and qualitative data about domestic structures and about settlements was collected from published reports on 15 Orcadian Neolithic excavated sites. The published data is less extensive than hoped but is sufficient to support a provisional answer: a social hierarchy probably did not develop in the Early Neolithic but almost certainly did in the Late Neolithic, for which the data is more comprehensive.While this is only one approach of several possible ways to consider the question, it is by exploring different methods of analysis and comparing them that an understanding of the Orcadian Neolithic can move forward.

A New Approach to Generate Hospital Data Warehouse Schema

2016 ◽  
pp. 84-115 ◽  
Author(s):  
Nouha Arfaoui ◽  
Jalel Akaichi
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Information Exchange ◽  
Data Sources ◽  
Healthcare Industry ◽  
Schema Integration ◽  
Hospital Data ◽  
New Approach ◽  
Similar Elements ◽  
Existing Data

The healthcare industry generates huge amount of data underused for decision making needs because of the absence of specific design mastered by healthcare actors and the lack of collaboration and information exchange between the institutions. In this work, a new approach is proposed to design the schema of a Hospital Data Warehouse (HDW). It starts by generating the schemas of the Hospital Data Mart (HDM) one for each department taking into consideration the requirements of the healthcare staffs and the existing data sources. Then, it merges them to build the schema of HDW. The bottom-up approach is suitable because the healthcare departments are separately. To merge the schemas, a new schema integration methodology is used. It starts by extracting the similar elements of the schemas and the conflicts and presents them as mapping rules. Then, it transforms the rules into queries and applies them to merge the schemas.

On Hierarchical Content-Based Image Retrieval by Dynamic Indexing and Guided Search

2010 ◽  
Vol 4 (4) ◽  
pp. 18-36 ◽  
Author(s):  
Jane You ◽  
Qin Li ◽  
Jinghua Wang
Keyword(s):  
Image Retrieval ◽  
Data Warehouse ◽  
Image Data ◽  
Image Feature ◽  
Image Indexing ◽  
Content Based Image Retrieval ◽  
New Approach ◽  
Guided Search ◽  
Dynamic Image ◽  
Face Features

This paper presents a new approach to content-based image retrieval by using dynamic indexing and guided search in a hierarchical structure, and extending data mining and data warehousing techniques. The proposed algorithms include a wavelet-based scheme for multiple image feature extraction, the extension of a conventional data warehouse and an image database to an image data warehouse for dynamic image indexing. It also provides an image data schema for hierarchical image representation and dynamic image indexing, a statistically based feature selection scheme to achieve flexible similarity measures, and a feature component code to facilitate query processing and guide the search for the best matching. A series of case studies are reported, which include a wavelet-based image color hierarchy, classification of satellite images, tropical cyclone pattern recognition, and personal identification using multi-level palmprint and face features. Experimental results confirm that the new approach is feasible for content-based image retrieval.

scholarly journals ‘I actually felt like I was a researcher myself.’ On involving children in the analysis of qualitative paediatric research in the Netherlands

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e034433
Author(s):  
Malou L Luchtenberg ◽  
Els L M Maeckelberghe ◽  
AA Eduard Verhagen
Keyword(s):  
The Netherlands ◽  
Phase I ◽  
Phase Ii ◽  
Qualitative Data ◽  
Paediatric Research ◽  
Two Phase ◽  
New Approach ◽  
Time Investment ◽  
Framework Approach ◽  
Group Meetings

ObjectivesTo evaluate the feasibility of a new approach to paediatric research whereby we involved children in analysing qualitative data, and to reflect on the involvement process.SettingThis was a single-centre, qualitative study in the Netherlands. It consisted of research meetings with individual children at home (Phase I) or group meetings at school (Phase II). In Phase I, we identified themes from a video interview during five one-on-one meetings between a child co-researcher and the adult researcher. In Phase II, during two group meetings, we explored the themes in detail using fragments from 16 interviews.ParticipantsWe involved 14 school children (aged 10 to 14 years) as co-researchers to analyse children’s interviews about their experience while participating in medical research. Notes were taken, and children provided feedback. A thematic analysis was performed using a framework approach.ResultsAll co-researchers identified themes. The time needed to complete the task varied, as did the extent to which the meetings needed to be structured to improve concentration. The children rated time investment as adequate and they considered acting as co-researcher interesting and fun, adding that they had learnt new skills and gained new knowledge. The experience also led them to reflect on health matters in their own lives. The adult researchers considered the process relatively time intensive, but the project did result in a more critical assessment of their own work.ConclusionThe new, two-phase approach of involving children to help analyse qualitative data is a feasible research method. The novelty lies in involving children to help identify themes from original interview data, thereby limiting preselection of data by adults, before exploring these themes in detail. Videos make it easier for children to understand the data and to empathise with the interviewees, and limits time investment.

scholarly journals An Exploratory Study of the Relationship between the Openness and Effectiveness of Strategic Planning

2019 ◽  
Vol 23 ◽  
Author(s):  
Alireza Amrollahi ◽  
Bruce Rowlands
Keyword(s):  
Information Technology ◽  
Strategic Planning ◽  
Exploratory Study ◽  
Qualitative Data ◽  
Exploratory Research ◽  
New Approach ◽  
Moderating Factors ◽  
The Relationship ◽  
Theoretical Foundations

This paper focuses on a new approach for facilitating the participation of stakeholders in a process of strategic planning known as open strategic planning (OSP). OSP is recognised through three characteristics: inclusiveness, transparency, and the use of information technology (IT) tools. Drawing on the theoretical foundations of OSP, the research explores moderating factors impacting the relationship between these characteristics and OSP effectiveness by referring to qualitative data obtained from two open strategic planning projects. A secondary aim was to examine how stakeholders interpret the effectiveness of OSP in an organisational setting. Results indicate various moderating factors (level of trust, IT literacy, and diversity of participants) impacted the relationship between the characteristics of OSP and strategic planning effectiveness. The study formulates eight propositions, each is discussed in relation to the existing literature on strategic planning effectiveness. This paper is significant as it is the first exploratory research linking openness and strategic planning outcomes.

scholarly journals Empowering Transparency: Annotation for Transparent Inquiry (ATI)

2021 ◽  
Author(s):  
Diana Kapiszewski ◽  
Sebastian Karcher
Keyword(s):  
Focus Groups ◽  
Qualitative Data ◽  
New Approach ◽  
Video Clips ◽  
Archival Documents

Political scientists generate, analyze, and deploy myriad types of qualitative data to support their claims and conclusions. To produce those data, they conduct interviews and focus groups, collect archival documents, download video clips, record music, take pictures of varied phenomena, and use many other techniques. Given the heterogeneity of the resulting data, and the different ways in which authors deploy them to support the arguments in their scholarship, authors who use such data face challenges in making their work more transparent. Annotation for Transparent Inquiry (ATI) is a new approach to transparency in qualitative and multi-method research that addresses those challenges. ATI helps authors to demonstrate the rigor of their work, and to make their scholarship more comprehensible and evaluable, democratizing access to and fostering the accumulation of knowledge.

scholarly journals ALUR PELACAKAN PEMBALAKAN LIAR (ILLEGAL LOGGING) MELALUI PENDEKATAN PENCUCIAN UANG

2016 ◽  
Vol 1 (2) ◽  
pp. 33-46
Author(s):  
Lucky Nurhadiyanto
Keyword(s):  
Qualitative Data ◽  
Document Analysis ◽  
The Other ◽  
Illegal Logging ◽  
Systematic Observation ◽  
New Paradigm ◽  
New Approach ◽  
Depth Interviews ◽  
Collection Methods ◽  
Qualitative Data Collection

Illegal logging is a part of crime against environment, which has a massive impact on the economy, social, cultural, and ecological. Ironically, majority of the illegal logging’s perpetrators are dominated by “the field criminal”. On the other side, intellectual actors who can control the activities never touch by the law. The money laundering concept can give a new approach to detect the leader actor. The author use follow the money viewpoint, which includes placement, layering, and integration. Qualitative data collection methods is used with in-depth interviews, systematic observation of the behavior, and document analysis. The result is a new paradigm in investigating illegal logging no longer focused on the field actors, but potentially tracking the intellectual actors behind illegal logging.

scholarly journals Perancangan Data Warehouse Perguruan Tinggi untuk Kinerja Penelitian dan Pengabdian kepada Masyarakat

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Agata Filiana ◽  
Andhika Galuh Prabawati ◽  
Maria Nila Anggia Rini ◽  
Gloria Virginia ◽  
Budi Susanto
Keyword(s):  
Data Warehouse ◽  
Community Service ◽  
Business Intelligence ◽  
Qualitative Data ◽  
Study Program ◽  
Self Evaluation ◽  
Central Repository ◽  
Performance Report ◽  
Data Source

Accreditation is an evaluation to ensure the quality of a study program at higher education by completing two main documents for qualitative data and self-evaluation, namely Study Program Performance Report (LKPS) and Self Evaluation Report (LED) respectively. Data used for this process must be consistent and accurate, therefore a central repository is proposed. A data warehouse for the domain of Research and Community Service is built using the snowflake schema and a five-step approach methodology proposed for the educational data warehouse. The schema consisted of one fact table, ten dimension tables, and four bridge tables. Using a business intelligence tool, data from the data warehouse is queried and provided in a dashboard. The data warehouse successfully returned the qualitative data needed for LKPS. As for the evaluation data for LED, the data warehouse is able to fulfill seven out of ten requirements. The data for the remaining three are provided with a slightly different orientation to the requirement, this was due to the data source.

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