scholarly journals A GEODATABASE FOR MULTISOURCE DATA MANAGEMENT APPLIED TO CULTURAL HERITAGE: THE CASE STUDY OF VILLA BUONACCORSI’S HISTORICAL GARDEN

2019 ◽  
Vol XLII-2/W11 ◽  
pp. 771-776 ◽  
Author(s):  
E. S. Malinverni ◽  
S. Chiappini ◽  
R. Pierdicca
Keyword(s):  
Data Management ◽  
Heterogeneous Data ◽  
Geographical Information ◽  
Data Management System ◽  
Architectural Heritage ◽  
Cultural Goods ◽  
Open Source Gis ◽  
Historical Identity ◽  
Different Sources

<p><strong>Abstract.</strong> In recent years, the digitization of historical data related to the architectural heritage and the development of ICT-based methodologies applied to cultural goods have become increasingly relevant. In this context, the use of GIS (Geographical Information System) is growing significantly, with the aim of collecting, analysing and managing heterogeneous data in a spatial context. Given such premise, the site identified for this case-study is a historical Italian Garden into the Villa Buonaccorsi in Potenza Picena (MC, Italy). The project aims at creating a methodology, that organizing natural and artificial elements in the GIS, to support management and planning of this landscape architecture, considering also the changes during the time. A suitable GIS can promote and ensure a correct use of the heritage knowledge, preserving the historical identity, overlaying the data. The data management system, specifically developed for this case, is based on an open source GIS, where surveyed data coming from different sources and the relation to the attributes have been descripted in a conceptual model. The inventory of this geodatabase, in a dedicated GIS, has allowed to perform some queries, making in output a dialogue box with all the information, in form of report, useful to the manager of a historical garden. The structure of the GIS can significantly to help who works with similar cases and it can be useful for analysis, management, storage and integration of information related to Italian gardens.</p>

scholarly journals GIS development for ground deformation data management. A case study in Cephallonia island (western Greece)

2007 ◽  
Vol 40 (4) ◽  
pp. 2070 ◽  
Author(s):  
S. Vassilopoulou ◽  
K. Chousianitis ◽  
V. Sakkas ◽  
B. Damiata ◽  
E. Lagios
Keyword(s):  
Spatial Analysis ◽  
Data Management ◽  
Data Base ◽  
Crustal Deformation ◽  
Ground Deformation ◽  
Heterogeneous Data ◽  
Data Vector ◽  
Gis Data ◽  
Western Greece

The present study is concerned with the management of multi-thematic geo-data of Cephallonia Island, related to crustal deformation. A large amount of heterogeneous data (vector, raster, ascii files) involving geology, tectonics, topography, geomorphology and DGPS measurements was compiled. Crustal deformation was studied using GPS network consisting of '23 stations. This was installed and measured in October 2001 and re-measured during September 2003 following the Lefkas earthquake of August 2003 (Mw=6.2), and also in July 2006. With proper spatial analysis, a large number of thematic and synthetic layers and maps were produced. Simultaneously, a GIS Data base was organized in order to make an easy extraction of conclusions in specific questions.

scholarly journals Pentingnya Manajemen Data Pengeboran Untuk Meningkatkan Operasi Pengeboran Panas Bumi

2020 ◽  
Vol 2 (2) ◽  
pp. 47-61
Author(s):  
Daniel Adityatama ◽  
◽  
Rizky Mahardhika ◽  
Dorman Purba ◽  
Farhan Muhammad ◽  
...  
Keyword(s):  
Data Management ◽  
Oil And Gas ◽  
Data Management System ◽  
Key Factors ◽  
Drilling Performance ◽  
Geothermal Fields ◽  
Drilling Data ◽  
Cost Efficient ◽  
Geothermal Drilling

Drilling is one of the major cost components in geothermal exploration and development. Effective and cost-efficient drilling significantly contribute to the success of geothermal development. Key factors in reducing drilling costs are optimising operations, utilising manpower to its fullest potential, and also benchmarking with other drilling activities to evaluate one’s performance objectively. This is possible if the information regarding the previous drilling activities is stored and easily gathered and analysed before making plans for the drilling campaign. The importance of drilling data analysis and drilling data management have been a subject of study and discussion since the 1980s, but it is still not that common in geothermal drilling, especially in Indonesia. The purpose of this paper is to summarise the definition and examples of drilling data management in a more well-established industry such as oil and gas from various studies in the past, assess the advantages of having a proper drilling database or data management system, and how can the data be used for potentially improving future drilling operation. A case study of converting legacy data from previous drilling campaign of two geothermal fields in Java into a database is also discussed to demonstrate how legacy drilling data can be used to evaluate drilling performance.

Impact of Data Quality on Well Operations: Case Study of Work-over Operations

2016 ◽  
Author(s):  
Alfred Enyekwe ◽  
Osahon Urubusi ◽  
Raufu Yekini ◽  
Iorkam Azoom ◽  
Oloruntoba Isehunwa
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Real Time ◽  
Data Management System ◽  
Quality Data ◽  
Process Safety ◽  
Well Control ◽  
Drilling Operations ◽  
Short Time

ABSTRACT Significant emphasis on data quality is placed on real-time drilling data for the optimization of drilling operations and on logging data for quality lithological and petrophysical description of a field. This is evidenced by huge sums spent on real time MWD/LWD tools, broadband services, wireline logging tools, etc. However, a lot more needs to be done to harness quality data for future workover and or abandonment operations where data being relied on is data that must have been entered decades ago and costs and time spent are critically linked to already known and certified information. In some cases, data relied on has been migrated across different data management platforms, during which relevant data might have been lost, mis-interpreted or mis-placed. Another common cause of wrong data is improperly documented well intervention operations which have been done in such a short time, that there is no pressure to document the operation properly. This leads to confusion over simple issues such as what depth a plug was set, or what junk was left in hole. The relative lack of emphasis on this type of data quality has led to high costs of workover and abandonment operations. In some cases, well control incidents and process safety incidents have arisen. This paper looks at over 20 workover operations carried out in a span of 10 years. An analysis is done on the wells’ original timeline of operation. The data management system is generally analyzed and a categorization of issues experienced during the workover operations is outlined. Bottlenecks in data management are defined and solutions currently being implemented to manage these problems are listed as recommended good practices.

PO-0933: A centralized data management system of heterogeneous data sources for radiation therapy

2014 ◽  
Vol 111 ◽  
pp. S120
Author(s):  
O. Diesenbacher ◽  
M. Memelink ◽  
F. Sedlmayer ◽  
H. Deutschmann ◽  
P. Steininger
Keyword(s):  
Radiation Therapy ◽  
Data Management ◽  
Management System ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Data Management System ◽  
Heterogeneous Data Sources

Study on Data Warehouse Based Equipment Support Data Management

2013 ◽  
Vol 462-463 ◽  
pp. 1072-1075
Author(s):  
Feng Xie ◽  
Jiang Sheng Sun ◽  
Wei Jie Liang ◽  
Dong Sheng Dai
Keyword(s):  
Decision Making ◽  
Data Management ◽  
Data Warehouse ◽  
Heterogeneous Data ◽  
Data Partitioning ◽  
Point Of View ◽  
Data Management System ◽  
Management Systems ◽  
Equipment Management ◽  
Data Granularity

There are more and more data produced in equipment management systems. For decision making, we must collect and integrate all kinds of data and information from different management systems. By analyzing the distributional and heterogeneous data resources, the architecture of equipment management data warehouse is proposed in this paper. We discussed important components of data warehouse for equipment support. The components include metadata, data market, data granularity and data partitioning. By discussing the organization of the data warehouse from the macroscopic point of view, the equipment support data management system with the function of decision making will be used in the future.

scholarly journals Sistem Pengelolaan Kegiatan Perusahaan Menggunakan Identifikasi QR Code

2021 ◽  
Vol 2 (1) ◽  
pp. 123-136
Author(s):  
Dani Yusuf ◽  
Joni Warta ◽  
Sri Rejeki
Keyword(s):  
Data Management ◽  
Management System ◽  
Data Management System ◽  
Qr Code ◽  
Activity Data ◽  
Response Code ◽  
Quick Response Code ◽  
A Company ◽  
Process Participant

Activities in a company or institution are something that is usually done, the forms of these activities are generally training, socialization of new regulations, inauguration, and so on. These activities need to be recorded and the data managed as documentation or reference and consideration in subsequent activities. This activity requires planning starting from preparation, scheduling, distributing invitations via email, to implementing and recording the attendance of invited participants. The case study was conducted at PT Pelni Indonesia as an Indonesian National Shipping company that often carries out internal activities within the company. The problem that occurs in the management of company activities at PT Pelni is that so far it is still using the manual system. The participant registration process, participant data collection, sending invitations, recording participant attendance and so on are carried out in handwriting and stored in an excel file. Of course, this makes it difficult to search and manage data, and allows data loss or document slippage to occur. One solution that can be used to overcome these problems is to build an information system for managing company activity data. The management system can assist the HRD for data management needed in the implementation of activities carried out by the company. QR Code technology is also used to encrypt participant invitation numbers, verify participant data and to record attendance. The result of developing this system is a data management system for company activities by utilizing Quick Response Code (QR Code) technology. The generated QR Code can store various participant data in only 1 code and is used to verify participant data.

Requirements and Data Content Evaluation of Industry In-House Data Management System

2010 ◽  
Author(s):  
Beshoy Morkos ◽  
Shraddha Joshi ◽  
Joshua D. Summers ◽  
Gregory G. Mocko
Keyword(s):  
Data Management ◽  
Management System ◽  
Large Scale ◽  
Data Management System ◽  
Industrial Case Study ◽  
Large Scale Data ◽  
Data Content ◽  
Scale Data ◽  
Future Growth

This paper presents an industrial case study performed on an in-house developed data management system for an automation firm. This data management system has been in use and evolving over a span of fifteen years. To ensure the system is robust to withstand the future growth of the corporation, a study is done to identify deficiencies that may prohibit efficient large scale data management. Specifically, this case study focused on the means in which project requirements are managed and explored the issues of perceived utility in the system. Two major findings are presented: completion metrics are not consistent or expressive of the actual needs and there is no linking between the activities and the original client requirements. Thus, the results of the study were used to depict the potential vulnerability of such deficiencies.

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