Question

Write a paper consisting of two (2) to three (3) pages - summarizing the topic of data resource management. The paper must be written in 3rd person with the exception of the Opinion section - it may be written in the 1st person.

1)Topic: data resource management

2)What is the Summary/Analysis of the topic?

3)Application of the topic in today’s world?

4)How would you apply this information to the (your) work place?

5)Opinion about the topic? 6)References – needs to be 3

Answer 1

Data resources have the characteristics of heterogeneity and differentiation; with increasing demand and the development of the scale of application systems, data resources must be constantly enriched and expanded. The traditional data resource management model has been unable to meet users’ requirements of flexibility, timeliness and expansion in data resource management, which has led to major bottlenecks in system applications, cost increase and lower efficiency. We propose a method of data resource management using on-demand customizing that can be used to solve the problems stated above: on the basis of analysis of the data resources, the flexible management and customization of data resources is realized, eliminating the tight coupling between information system data storage programs and data resources, and providing transparent, flexible data resource management for enterprise applications, thus ensuring the sustainable development of information systems.

Data lie at the center of enterprise applications, and the majority of enterprise application systems need to access data [1]. Currently, with the differences of history, geography, industry, and application, there exist all kinds of data resource management systems and software systems on the Internet. According to needs, these management and software systems store data resources in a database in the form of tables; through a user-friendly graphical interface, data resources can be managed. However, when there is a need to manage a data resource which is not already set in the system, the database tables need to be redesigned and corresponding codes need to be written by programmers to complete the operation. As a data resource is constantly enriched and expanded, the methods mentioned above not only limit the timeliness and scalability of data resource management, but also increase development costs.

Nowadays, because of the increasing fierce competition in the market, competition among enterprises has turned into time based competition. However, with the increase of the number of data resource types and the complexity of structures, a trend of extending system development cycles has emerged. The traditional data management model has been unable to meet the development requirements. An on-demand customizing data resource management model has emerged in the process of change, which is aimed at providing a personalized custom product as well as data management efficiency and reduced cost. Furthermore, the contradictory requirements of high efficiency, low cost, and personalized service will make product information varied and complex. Therefore, technological support for on-demand customizing data resource management is urgently needed.

In order to overcome the shortage of existing data resource management systems and the problem of software which cannot adapt to changes in demand for data resource management, a method of data resource management on-demand customizing is proposed: the method can customize tables for storing data resources in a database depending on the changes of needs, realizing effective data resource management.

We position our research primarily in the area of data resource management. The majority of the literature focuses on database design and data model optimization. Following the data resource managing requirements, this research concerned the flexibility of the data model. In relation to this, Banerjee et al. proposed a sustainable data center that replaces conventional resource delivery models with a framework centered around the supply and demand side management of all data center resources including IT, power and cooling. They identified five elements: data center scale lifecycle design, flexible and configurable building blocks, pervasive cross-layer sensing, knowledge discovery and visualization, and autonomous control [4]. Tieming Liu et al. presented a model for applying revenue management to on-demand IT services. In the work, they used a multinomial logic model to describe customer choice over multiple classes with different service-level agreements, and provide a nonlinear programming model for determining the optimal price or service level for each classes [5]. Zhi Liu et al. used ASP technology and an access database to design and implement a general course website for data structures based on the B/S mode. This website was developed through a customized template. This development method separates the content design from the interface design [6]. Baloukas et al. presented a component based abstract data type library that can handle efficiently the dynamic data access and storage requirements of complex multimedia applications. It can be customized according to the very specific characteristics of the targeted embedded software and underlying hardware platform. By using those components, it realized customizing of functions [7]. In-Ho Song et al. proposed the use of UML object models in an authoring framework, which provides authoring functions for the effective customization of systems [8].

Although on-demand customizing data resource management has been considered in the above cited papers, studies on data structures and algorithms are still rare. In this paper, we consider the problem for a fully customizable method where any data type can be stored by designing a database table through a system interface. The paper contributes to the literature on methods of data resource management using on-demand customizing by considering both the data resource structural decomposition and a customized algorithm.

3. Material and methods
3.1. Design philosophy
Data resources have the characteristics of heterogeneity and differentiation; with increasing demand and the development of the scale of application systems, data resources need to be constantly enriched and expanded. The traditional data resource management model has been unable to meet users’ requirements of flexibility, timeliness and expansion in data resource management, which has led to major bottlenecks in system applications, cost increase and lower efficiency. The method of on-demand design can achieve customized, personalized, localized management, enabling users to increase the database table, modifying the database table structure approach to expand and update data resources according to their needs, accommodating the changes of data resources.

At the present stage, large amounts of data resources are stored in databases; therefore, the design philosophy of the on-demand method is: provide users with an interface through which to operate the database table structure, so that users can customized the database table according to the changing needs of their management of their own resources to realize the management of data resources. On-demand customization methods can meet the needs of almost all users; it respects the different needs of different data resource management systems, increases the flexibility of data resource management and system reusability, extends and expands the user’s abilities and saves development and maintenance costs.

3.2. Data resource analysis
In this paper, the data resource is stored in the relational database in table form. And that means that all data have a database table record. Therefore, the data resource is disassembled into four sections, namely the module, title, structure and content, which are shown in Fig. 1.
•
Module: a general term for a particular type of data resource, which corresponds to many database tables.

•
Name: the name of the database table.

•
Structure: the column fields of the database table.

•
Content: data stored in the database table.

Name Table I Table 2 Structure Column 1 ColumnColumn n ColumnI Column 2Column n Data Al Data A2Data AnData AlData A2Data An Data BI Data Data Bn Content Data Bata B2 Module1 Table n Column 1 Column Column n Data Al ta A2Data An Data BI Data B2Data Bn Module n

Through the disassembling of data resources, we separated and redefined the structure and content of the data resource. And this sets up the foundation for content management and structure customization on demand.

3.3. Overall design

The overall structure of the on-demand data resource management method includes three units, namely the module customized unit, structure customized unit and customized data management unit, as shown in Fig. 2.

(1)

Module customized unit: users or applications submit a customized module name through the interface, and this unit stores it in the corresponding database table.

(2)

Structure customized unit: this adds, deletes, or modifies the name and type of database forms in detail for the selected module, and stores them in the corresponding database table.

(3)

Customized data management unit: this manages the data resource according to the customized structure.

Users Applications Interface Interface Interface (1) Module Customized Unit) Structure Customized (3) Customized Data Management Unit Unit Data management according to the customized data structure Submit module Select module name Add, delete, modify the name and type of database forms in detail Database

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Fig. 2

3.4. Database design

The database design of the on-demand customizing data resource management method is listed in Table 1.

Table 1

No.	Table name	Description	Fields	Foreign key
1	Module_table	Module customization information	aModule identification (MID), module name (Mname)
2	ResourceName_table	Resource name customization information	aResource name identification (SID), module identification (MID), resource name (Sname), data resource table name (Stablename)	MID
3	ResourceStructure_table	Resource structure customization information	aResource column identification (CID), resource name identification (SID), column customized name (Cidentify), column name (Cname), column type (Ctype)	SID
4	Table1…Tablen	Data information, the table number consistent with the amount of the data resource	Create database table according to fields of ResourceStructure_table; take Cname as field name and Ctype as field type

a

is primary key.

As a result, the module that the data resource belongs to is a list of Module_table. And the name corresponds to a record of ResourceName_table as well as the structure being stored as many records of ResourceStructure_table. The relationship of those tables is shown in Fig. 3.

Module table ResourceName table ResourceStructure table PK CIID FK1 SID Mname FK1 MIID Sname Stablename Cidentify Cname Ctype Table2 Tablel Tablen PK I TID PK | TID PK | TID Culomnl Culomn2 Culomn3 Culomn5 Culomn6 Culomnn

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Fig. 3

3.5. Design for key units

3.5.1. The module customized unit

The algorithm process of the module customized unit is shown in Fig. 4 and includes the following steps:

(1)

Receive the customized module name and assign it to a variable named modulename.

(2)

Query the maximum of MID from Module_table and assign it to the variable maxmid.

(3)

Make the new module’s identification MID=maxmid+1.

(4)

Store modulename and MID in Modul_table.

Start Receive the customized module name, and assigned to modulename Query the maximum of MID from Module table, and assigned to maxmid MID-maxmid+1 Store Modulename and MID in Module table End

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Fig. 4

In this paper, once we have added a module, it will add a record to the database table Modulename_table which includes on MID and modulename, so as to realize the resource data module customization.

3.5.2. The structure customized unit

The algorithm process of the structure customized unit is shown in Fig. 5 and includes the following steps:

(1)

Receive the module identification MID which belongs to the created data resource.

(2)

Receive the resource name which is user customized, and assign it to the variable resourcename.

(3)

Query the maximum of SID from ResourceName_table, and assign it to maxsid.

(4)

Make SID=maxsid+1.

(5)

Stablename = “Table” + SID. For example, if SID = 10, Stablename = Table10.

(6)

Query the maximum of CID from ResourceStructure_table, and assign it to maxcid.

(7)

Get the single column name (Cidentify) and type (Ctype) of the customized data resource structure, and create the object “Column”.

(8)

Make CID=maxcid+1, maxcid=maxcid+1.

(9)

Make Cname = “Column” + CID. For example, if CID = 5, Cname = Column5.

(10)

Store CID, Cname, Cidentify, Ctype the object “Column”, which is stored into a Columns array.

(11)

If one needs to customize the next column, jump to step 7; otherwise continue.

(12)

Store SID, MID, resourcename, Stablename in database table ResourceName_table. And store SID and columns including CID, Cname, Cidentify and Ctype in database table ResourceStructure_table.

(13)

Create a database table to store data resource information using Stablename as the table name, and TID as the primary key; Cname and Ctype form a Columns array as field names and types.

Start Receive MID Receive Cidentify and Ctype Create Column object resourcename customized resource name Query the maximum of SID from ResourceName table, and assigned to maxsid CID=maxcid- maxcid= maxcid+1 SID-maxsid+1 Cname=" Culomn" +CID Store CID, Cname, Cidentify, Ctype in Culomn object and store this object in Columns array Stablename Table" +SID Query the maximum of CID from ResourceStructure table, and assigned to Custom next column? No Store SID, MID, resourcename, Stablename in ResourceName table Store SID, Columns array in ResourceStructure table End Create database table

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Fig. 5

4. Applications

The Medical and Healthcare Resource Information Management System [9] is an integrated information system for China rural community medical institutions with local characteristics. The system needs to manage data resources of medical institutions, medical experts, medical equipment, medical records and other data resources. Furthermore, the resource has significant heterogeneity in different communities. If only one information system is developed, community needs cannot be met, and once different information systems are developed according to the situation of each community, the development costs and cycles will be undoubtedly increased and this is not feasible.