Design Guidelines and Process of Metadata Management Based on Data Management Body of Knowledge

Author(s):  
Khairunisak ◽  
Tien Fabrianti Kusumasari ◽  
Rokhman Fauzi
Author(s):  
Yamini Gourishankar ◽  
Frank Weisgerber

Abstract It is observed that calculating the wind pressures on structures involves more data retrieval from the ASCE standard than any subjective reasoning on the designer’s part. Once the initial design requirements are established, the procedure involved in the computation is straightforward. This paper discusses an approach to automate the process associated with wind pressure computation on one story and multi-story buildings using a data management strategy (implemented using the ORACLE database management system). In the prototype system developed herein, the designer supplies the design requirements in the form of the structure’s exposure type, its dimensions and the nature of occupancy of the structure. Using these requirements, the program retrieves the necessary standards data from an independently maintained database, and computes the wind pressures. The final output contains the wind pressures on the main wind force resisting system, and on the components and claddings, for wind blowing parallel and perpendicular to the ridge. The knowledge encoded in the system was gained from ASCE codes, design guidelines and as a result of interviews with various experts and practitioners. Several information modeling methodologies such as the entity relationship model, IDEF 1X, etc. were employed in the system analysis and design phase of this project. The prototype is implemented on an IBM PC using the ORACLE DBMS and the ‘C’ programming language. Appendix A illustrates a sample run.


2015 ◽  
Vol 71 (2) ◽  
pp. 401-415 ◽  
Author(s):  
Tibor Koltay

Purpose – The role of data literacy is discussed in the light of such activities as data a quality, data management, data curation, and data citation. The differing terms and their relationship to the most important literacies are examined. The paper aims to discuss these issues. Design/methodology/approach – By stressing the importance of data literacy in fulfilling the mission of the contemporary academic library, the paper centres on information literacy, while the characteristics of other relevant literacies are also examined. The content of data literacy education is explained in the context of data-related activities. Findings – It can be concluded that there is a need for data literacy and it is advantageous to have a unified terminology. Data literacy can be offered both to researchers, who need to become data literate science workers and have the goal to educate data management professionals. Several lists of competencies contain important skills and abilities, many of them indicating the close relationship between data literacy and information literacy. It is vital to take a critical stance on hopes and fears, related to the promises of widespread ability of (big) data. Originality/value – The paper intends to be an add-on to the body of knowledge about information literacy and other literacies in the light of research data and data literacy.


Author(s):  
Valter Alves ◽  
Licínio Roque

The inconsequential exploitation of sound in most computer games, both in extent and nature, contrasts with its prominence in our daily lives and with the kind of associations that have been explored in domains such as music and cinema. Sound design remains the craft of a talented minority and the unavailability of a public body of knowledge on the subject has greatly contributed to this state of affairs. This leads to a mix of alienation and best-judgment improvisation in the broader development community. A sensitivity to the potential of sound for the enrichment of the experience—with emphasis on game specifics—is, therefore, necessary. This study presents a contribution to the practice of sound design for computer games. An approach to intentional sound design, informed by multi-disciplinary interpretations of concepts including emotion, context, acoustic ecology, soundscape, resonance, and entrainment, is distilled into a set of design guidelines that holistically address the different sound layers.


Author(s):  
Nugroho Setio Wibowo ◽  
Ema Utami ◽  
Hanif Al Fatta

<p class="Text"><strong>Sesuai Peraturan Presiden no 39 tahun 2019 tentang Satu Data, untuk memperoleh Data yang akurat, mutakhir, terpadu,, mudah diakses, dan dibagipakaikan, diperlukan perbaikan tata kelola Data yang dihasilkan oleh pemerintah. Studi kasus penelitian ini di Pemerintah Kabupaten Trenggalek Jawa Timur di 35 Organisasi Perangkat Daerah (OPD) dengan metode kuisioner dan wawancara untuk penggalian permasalahan data. Perumusan pengolahan data menggunakan pedoman Data Management Body Of Knowledge (DMBOK. Data Management Body Of Knowledge (DMBOK)  merupakan salah satu  framework tata kelola data yang memberikan pendekatan model tata  kelola data secara fungsional, lengkap dan menyeluruh dalam membangun tata kelola data di organisasi. Penelitian ini merumuskan struktur tatakelola data, peran tata kelola data dalam struktur organisasi pemerintahan Kabupaten Trenggalek, peran aktivitas tata kelola data dan pemetaan solusi 18 masalah data di Pemerintah Kabupaten Trenggalek berdasarkan pedoman DMBOK. Hasil dari penelitian ini menunjukkan bahwa tata kelola data dengan pedoman DMBOK dapat digunakan sebagai solusi  untuk masalah data yang terjadi. Struktur tata kelola data yang telah dirancang diharapkan dapat membantu Kabupaten Trenggalek dalam mengimplementasikan tata kelola data di pemerintah daerah secara efektif</strong></p><div style="mso-element: comment-list;"><div style="mso-element: comment;"><div id="_com_2" class="msocomtxt"><!--[if !supportAnnotations]--></div><!--[endif]--></div></div>


Author(s):  
Julia M. O’Rourke ◽  
Carolyn C. Seepersad

Within the bodies of living organisms are multitudes of sustainable design solutions that scientists have yet to discover and engineers have yet to master. Living organisms employ novel methods of harvesting energy from ambient sources, producing materials at low temperatures, and optimizing shapes to achieve energy efficiency, among many other sustainability-enhancing techniques. Through sustainable bioinspired design, engineers can apply this body of knowledge to engineered products and systems. In order to do this, a better understanding is needed of the types of sustainability solutions present in biology and readily available to engineers. One approach to this problem is to analyze existing bioinspired designs with an environmental advantage over alternatives and find trends in the types of sustainable solutions present in these designs. The purpose of this paper is to present a methodology for identifying trends embodied in existing, sustainable, bioinspired designs. For this study, a broad and representative list of currently available bioinspired designs was compiled including gecko robots, lotus leaf-inspired self-cleaning surfaces, termite-inspired buildings, and kingfisher-inspired trains. Three criteria were used to determine which designs should be studied in detail: (1) verification that the design was actually bioinspired, (2) evidence that the design is or was physically embodied, either as a functional prototype or as a commercial product, and (3) literature-based demonstration of environmentally beneficial characteristics. Due to time limitations, a fourth criterion was also used: (4) literature-based demonstration of environmentally beneficial characteristics in the use phase of the design; however, the procedure presented is valid for designs offering sustainability advantages in any life cycle phase. The bioinspired designs meeting the selection criteria were analyzed in detail, along with their functionally-equivalent alternatives. The sustainability advantages of the bioinspired designs, relative to their alternatives, were identified using a list of 65 published green design guidelines. This paper presents the methodology for each of these steps, including the benefits and drawbacks. In addition, a detailed explanation is provided for each step using bioinspired examples.


2021 ◽  
Vol 251 ◽  
pp. 02048
Author(s):  
Mandrichenko Igor

Metadata management is one of three major areas of scientific data management along with replica management and workflow management. Metadata is the information describing the data stored in a data item, a file or an object. It includes the data item provenance, recording conditions, format and other attributes. MetaCat is a metadata management database designed and developed for High Energy Physics experiments. As a component of a data management system, it’s main objectives are to provide efficient metadata storage and management and fast data selection functionality. MetaCat is required to work on the scale of 100 million files (or objects) and beyond. The article will discuss the functionality of MetaCat and technological solutions used to implement the product.


Author(s):  
Elizaveta Pavlovna Bashkova ◽  
Andrei Evgen'evich Dzengelevskii

This article is dedicated to the problem of effective use by credit organization of the own client data due to their heterogeneity. The object of this research is the client data of a credit organization. The subject is the possibility of application of the means of efficient client data management in a credit organization for the purpose of fulfilling regulatory requirements&nbsp; The main goal of this work consists in the analysis and formulation of recommendations with regards to modification of client data model, as well as improvement of quality of client data by means of data management based on the DAMA-DMBOK body of knowledge in the context of the key areas of data management. The article reviews the key areas of data management and the methods of application of rules and recommendations of each of them to the data management process of the credit organization. The relevance of this article is substantiated by legislative requirements pertaining to monitoring of services provided for private and legal entities from the sanctioned territory. The scientific novelty consists in application of data management knowledge to the relevant issue on the need for automatic determination of territorial affiliation of the client in order to comply with the requirements of normative legal acts. The research methods are content analysis, structural analysis, and modeling. The main conclusions consist in recommendations for modification client data model of the bank, namely methods and principles for expanding the data model using standardized data parameters, which significantly improves the quality of data. The implementation of such recommendations would allow a financial organization to reduce the risks associated with payment of fines and revoke of licenses due to noncompliance with the regulatory requirements.


10.29007/gp13 ◽  
2018 ◽  
Author(s):  
Svetlana Jakšić ◽  
Martin Leucker ◽  
Dan Li ◽  
Volker Stolz

The runtime verification community is still fragmented with non-interoperable specifications and tools. Within the EU H2020 project COEMS “Continuous Observation of Embedded Multicore Systems”, we are contributing to the European Open Research Data Pilot that makes scientific data available to other researchers. We describe our first contributions and experience with the required data management and discuss technical issues such as metadata management, format and storage on practical examples. Based on our experience, we make suggestions on tools and formats for future RV Competitions and for desired artefacts from the EU COST Action IC1402 "ARVI -- Runtime Verification Beyond Monitoring".


2021 ◽  
Vol 9 (2) ◽  
pp. 42-58
Author(s):  
Mauricio Garcés Ordóñez ◽  
Mayda Patricia González Zabala

El gobierno de datos (GD) asegura que los datos cumplan con las expectativas del negocio, reduzca costos de gestión, protección y desarrolle los datos como un activo estratégico y de valor. En Colombia, el Ministerio de Tecnologías de la Información y las Comunicaciones (MinTIC) ha entregado una herramienta conceptual para que las entidades públicas puedan adoptar la Arquitectura TI Colombia, definiendo lineamientos y guías para facilitar su entendimiento y aplicación. Este artículo tiene como Objetivo: Caracterizar el alcance de los marcos de referencia para facilitar la implementación del GD establecido por MinTIC para las entidades públicas. Metodología: El proceso consistió en: 1) identificar marcos de referencia, 2) caracterizar relación de marcos de referencia con lineamientos y elementos, 3) identificar alineación de los ámbitos y aportes de los marcos de gestión y GD para la implementación del GD, y 4) analizar los resultados de la investigación. Resultados: El proceso permitió identificar los elementos que cada marco de referencia aporta a la implementación del GD de acuerdo a los lineamientos establecidos por el MinTIC. Conclusiones: El Data Management Body of Knowledge del Data Management Association (DAMA) entrega herramientas y técnicas que facilitan la implementación de lo estipulado por el ministerio, el cual puede complementarse con elementos del Data Governance Framework del Data Governance Institute (DGI) y The Open Group Architecture Framework (TOGAF).


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