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ABSTRACTTeaching and learning database design is difficult for both instructors and students. Students need to solve many problems with feedback and corrections. A Web‐based specialized expert system was created to enable students to create designs online and receive immediate feedback. An experiment testing the system shows that it significantly enhances student learning. The system also provides a more neutral learning environment in terms of personal factors such as gender and prior class work.

ABSTRACTThe design of responsive distributed database systems is a key concern for information systems managers. In high bandwidth networks latency and local processing are the most significant factors in query and update response time. Parallel processing can be used to minimize their effects, particularly if it is considered at design time. It is the judicious replication and placement of data within a network that enable parallelism to be effectively used. However, latency and parallel processing have largely been ignored in previous distributed database design approaches. We present a comprehensive approach to distributed database design that develops efficient combinations of data allocation and query processing strategies that take full advantage of parallelism. We use a genetic algorithm to enable the simultaneous optimization of data allocation and query processing strategies. We demonstrate that ignoring the effects of latency and parallelism at design time can result in the selection of unresponsive distributed database designs.

In general, databases provide a single comprehensive view suitable for analysis and relevant information for a variety of organizational purposes. The intent of this paper is to review the contemporary database design in terms of data modelling, process modelling, relational databases, and data storage. The review indicates the contemporary relational database architecture provides numerous advantages such as high consistency and availability. However, it is not suitable for big data because its performance decreases as the data grows and faces scalability constraints as it is impossible to scale horizontally, and its vertical growth is limited. An implication here is that big data requires more than a relational database and the traditional SQL.

The international humanitarian assistance community responds to a wide variety of crises and disasters that are challenging in their variability, scale, timelines, resources, and politics. The implementation of a geographic database model, or Geodatabase, of geographic information resources will provide emergency responders with a functional relational database to support disaster response missions. The Geodatabase will be compact and deployable, improve functionality and efficiency, reduce error, increase standardization, and record an institutional knowledge base. Distributing the Geodatabase model in the form of a WebGIS website can additionally facilitate organizational communication and decision-making during the phases of emergency management by providing a thematic attribute query search capability. This Project will serve as a proof-of-concept design for future potential implementation and enhancement of the recommended models. The December 26, 2004 tsunami disaster in Indonesia and the surrounding region is the primary study area for this project. The recommendations outlined in this Project will help to support the initial data delivery steps of future humanitarian assistance and disaster response missions.

This paper presents work-in-progress analyzing the early stages of development of an internet-connected database for local energy research in Sri Lanka. The Energy Forum, a Colombo-based NGO, expects this database to link university and NGO researchers, government policy makers and functionaries, and government and private-sector energy providers, as well as provide an institutional voice for the nearly one-half of the island's population that is without electricity. The Energy Forum is committed to the most general goals of participatory design-better design and greater democracyhowever organizational constraints force them to consider carefully the possibilities and limitations of participatory design in this specific application. In this paper, I introduce the Energy Forum and describe the context in which they work. Next, I describe the Energy Forum's larger project which the database is part of. Finally, I consider how participatory design fits within the Energy Forum's database design effort, where design is understood to include the entire development cycle from database conceptualization to implementation. The paper presented draws on field research in Sri Lanka during June and July of2000.

"Data availability is arguably the greatest impediment to advancing the science of science and innovation policy and practice (SciSIPP). This paper describes the contents, methodology and use of the public online COMETS (Connecting Outcome Measures in Entrepreneurship Technology and Science) database spanning all sciences, technologies, and high-tech industries; its sibling COMETSandSTARS database which adds more data at organization and individual scientist-inventor-entrepreneur level restricted by vendor licenses to onsite use at NBER and/or UCLA; and their prototype Nanobank covering only nano-scale sciences and technologies. Some or all of these databases include or will include: US patents (granted and applications); NIH, NSF, SBIR, STTR Grants; Thomson Reuters Web of Knowledge; ISI Highly Cited; US doctoral dissertations; IPEDS/HEGIS universities; all firms and other organizations which ever publish in ISI listed journals beginning in 1981, are assigned US patents (from 1975), or are listed on a covered grant; additional nanotechnology firms based on web search. Ticker/CUSIP codes enable linking public firms to the major databases covering them. A major matching/disambiguation effort assigns unique identifiers for an organization or individual so that their appearances are linked within and across the constituent legacy databases. Extensive geographic coding enables analysis at country, region, state, county, or city levels as well as computation of distances between any two addresses. The databases provide very flexible sources of data for serious research on many issues in the science of science and technology"--National Bureau of Economic Research web site

Purpose
– The purpose of this paper is to examine state of the art data storage methods of real estate investment data.


Design/methodology/approach
– It analyses the process of real estate investment in order to classify and characterize the data it generates. Appropriate literature review is provided.


Findings
– The results show that a relational database is the most appropriate database management system type for real estate related data.


Practical implications
– Appropriately structured and modelled data flow can improve the design of the real estate investment process. It is also concluded that adopting an optimal design of IT-solutions could improve informational and operational efficiency of the industry.


Originality/value
– The subject of this paper lacks sufficient coverage. Popular database management systems are presented and analysed in the context of their suitability for the real estate industry.

ABSTRACTA distributed database system allows concurrent execution of transactions from multiple users at multiple locations. This paper presents a general scheme of including the effect of interaction between such transactions in the design process of distributed databases. This scheme allows the decision maker to choose the most appropriate design for a distributed database. The interaction effect is a consequence of concurrency control procedures and contention for system resources. Prior research has not included all components of the interaction effect in the design process. A separate module, called an interaction module, was built to measure the interaction effect using a comprehensive simulation model of a general purpose relational distributed database management system (DBMS). The interaction module can be interfaced with any distributed database design system as an add‐on module so that the interaction effect can be included in the design process. A detailed example demonstrates the use of the interaction module in the decision‐making process. Experiments conducted using the module show that the interaction effect can be significant and that it can affect the choice of the design. Experiments were also conducted to measure the sensitivity of design choices under changing input conditions.

Due to the ever increasing cost of energy production and the dwindling amount of fossil fuels available on the planet, it is imperative that all members of the building industry discover new, energy-conserving methods to heat and cool, to provide water and electrical energy for buildings in a sustainable way.[1] In view to the directive by the German government to save energy in buildings (EnEV), many private and public platforms on the internet have been launched to inform the general public on the topic. The quality of these online sites is, however, dubious.[2] Property owners who are already convinced that they need to renovate their house to an up-to-date, energy-efficient standard find it challenging to decide how and where to start this task. Upon consulting online literature, they become only more confused and are often confronted by grossly unrealistic estimations which make them adverse to the idea altogether.[3] This paper proposes the development of a computer-based design tool to establish a basis on which experts will be given a parametric device which will automatically link bespoke design ideas to any existing buildings in question.[1] Peak oil definition from Financial Times Lexicon. Financial Times Lexicon. 2012. Retrieved 21 May 2012.[2] Gesetz zur Einsparung von Energie in Gebäuden (Energieeinsparungsgestz – EnEG) http://www.gesetze-im-internet.de/eneg/BJNR018730976.html Retrieved 15.06.2013.[3] IWU/BEI (2010): Datenbasis Gebäudebestand. Datenerhebung zur energetischen Qualität und zu den Modernisierungstrends im deutschen Wohngebäudebestand. Darmstadt.