Data Lifecycle Models and Concepts V8.Docx

In: Business and Management

Submitted By aniket123
Words 6051
Pages 25
Version 7.0 August 10, 2011

INTRODUCTION

This is a compilation of data lifecycle models and concepts assembled in part to fulfill
Committee on Earth Observation Satellites (CEOS) Working Group on Information Systems and Services (WGISS) and the U.S. Geological Survey (USGS) Community for Data Integration Data Management Best Practices needs. It is intended to be a living document, which will evolve as new information is discovered.

CONTENTS

1. Digital Curation Centre (DCC) Lifecycle Model 2. Ellyn Montgomery, USGS, Data Lifecycle Diagram 3. FGDC Stages of the Geospatial Data Lifecycle pursuant to OMB Circular A–16 4. University of Oxford Research Data Management Chart 5. NOAA Environmental Data Life Cycle Functions 6. Open Archival Information System (OAIS) Framework 7. USGS Scientific Information Management Workshop Vocabulary 8. Peter Fox Lifecycle Diagrams 9. National Science Foundation 10. NDIIPP Preserving Our Digital Heritage 11. What Researchers Want 12. EPA Project Life Cycle 13. IWGDD’s Digital Data Life Cycle Model 14. Scientific Data Management Plan Guidance 15. Linear Data Life Cycle 16. Generic Science Data Lifecycle 17. Cassandra Ladino Hybrid Data Lifecycle Model 18. Ray Obuch Data Management – A Lifecycle Approach 19. USGS Data Management Plan Framework (DMPf) – Smith, Tessler, and McHale 20. BLM Data Management Handbook 21. ARL Joint Task Force on Library Support for E-Science 22. U.S. Department of Health and Human Services Key Components 23. ICPSR Preservation over the Data Life Cycle 24. William Michener DataONE: Data Life Cycle Management 25. IBM Aspects of Lifecycle Management - Research 26. University of California San Diego Digital Curation Program 27. University of Miami Scientific Data Lifecycle 28. Managing…...

Similar Documents

Docx

...Several concepts have developed recently relating to and possibly further defining these components of market orientation. These are concepts of the business process orientation of an organization and the impact on interdepartmental and cross functional interaction. This study develops the construct of business process orientation (BPO) as it relates to interdepartmental dynamics. It also develops and validates the measures for BPO and tests the proposed relationship of BPO to interdepartmental dynamics. Copyright( - Property of Dr. Kevin McCormack. Do not copy without permission TABLE OF CONTENTS EXECUTIVE SUMMARY ………………………………………………………. 3 I. INTRODUCTION AND PURPOSE……………………………………… 4 II LITERATURE REVIEW (edited)………………………………………… 7 III RESEARCH DESIGN ……………………………………………………. 10 IV RESULTS AND FINDINGS …………………………………………….. 18 V SUMMARY AND CONCLUSIONS …………………………………….. 27 Appendices A. FINAL SURVEY………………………………………………………….. 34 B. DEFINITION OF TERMS ………………………………………………... 42 REFERENCES…………………………………………………………………….. 44 BIBLIOGRAPHY……………..…………………………………………………... 51 EXECUTIVE SUMMARY Interdepartmental and cross functional interaction are proposed to be critical to business success in today’s environment. Interdepartmental dynamics, a component of the Kohli and Jaworski market orientation framework, has been shown to influence market orientation and business performance. Several concepts have......

Words: 9548 - Pages: 39

Data Base Concepts

...implementation of the database. Lookup entity: An entity used to store lookup values such as state names or zip codes. Maximum cardinality: The maximum number of instances of one entity that may be associated with each instance of another entity. Minimum cardinality: The minimum number of instances of one entity that may be associated with each instance of another entity. Naming conventions: Conventions for naming database objects in order to maintain consistency and readability. Physical design: The design of the database within a particular DBMS. The physical design takes account of file systems and disk locations as well as DBMS-specific data types. Surrogate keys: A surrogate key in a database is a unique identifier for either an entity in the modeled world or an object in the database. The surrogate key is not derived from application data. Triggers: A trigger is a collection of SQL commands that are executed when a database event occurs such as an INSERT, UPDATE, DELETE. Weak entities: In a relational database, a weak entity is an entity that cannot be uniquely identified by its attributes alone; therefore, it must use a foreign key in conjunction with its attributes to create a primary key. The foreign key is typically a primary key of an entity it is related to. Chapter 5 Normal forms: a defined standard structure for relational databases in which a relation may not be nested within another relation. Update anomalies: Database normalization is the process......

Words: 1477 - Pages: 6

Data Model Tutorial

...introduction to data modeling 3.1 Introduction: The importance of conceptual models same: understand the problem before you start constructing a solution. There are two important things to keep in mind when learning about and doing data modeling: 1. Data modeling is first and foremost a tool for communication.Their is no single “right” model. Instead, a valuable model highlights tricky issues, allows users, designers, and implementors to discuss the issues using the same vocabulary, and leads to better design decisions. 2. The modeling process is inherently iterative: you create a model, check its assumptions with users, make the necessary changes, and repeat the cycle until you are sure you understand the critical issues. In this background lesson, you are going to use a data modeling technique—specifically, EntityRelationship Diagrams (ERDs)—to model the business scenario from Lesson 2. The data model you create in this lesson will form the foundation of the database that you use throughout the remaining lessons. Before you sit down in front of the keyboard and start creating a database application, it is critical that you take a step back and consider your business problem—in this case, the kitchen supply scenario presented in Lesson 2— from a conceptual point of view. To facilitate this process, a number of conceptual modeling techniques have been developed by computer scientists, psychologists, and consultants. ? For our purposes, we can think of a conceptual......

Words: 7007 - Pages: 29

Cis Data Communications Concepts Wans

...Data Communication Concepts I Instructions: Insert your answer after each question in a bold red typeface. When complete, attach the document as your submission for this assignment. You may name your answers document any name you choose. Once I score your document it will be named [Last Name][First Name], and returned to you as an attachment to my feedback. When your answer consists of a list of items, please enter only one list-item per line. This helps speed the scoring process. Name: ________Hugo Tinoco sanchez ___________ Assignment Questions: Describe the responsibilities and scope of authority for each of the following government organizations. You may need to review the discussion on the ITU from chapter one: ITU Responsible for issues that involve information and communication technologies. Coordinates global use of the radio spectrum. Based around improving telecommunication infrastructure around the world. FCC b. An agency which regulates interstate and international communications by radio, tv, wire, satellite and cable in all 50 states, D. of Columbia and U.S territories. Media regulations for new technologies. PUC c. Regulates communications with individual state border lines. Unlike the FCC which is country wide, and ITU which is globe world wide. The textbook states that “a CSU/DSU is the WAN equivalent of a NIC in a LAN”. This is where the CSU/DSU is located in the connectivity path, but this does not explain...

Words: 1443 - Pages: 6

Lead Lifecycle

...Designing a Lead Lifecycle in Salesforce.com A Best Practices White Paper for Response Management from Full Circle CRM Full Circle CRM FullCircleCRM.com 650.641.2766 877.834.4001 Copyright© 2013, Full Circle CRM, Inc., All Rights Reserved. Table of Contents Introduction The Words We Use What is a Lead? Evolving the Lead Lifecycle The New Name The Existing Name Elements of Lifecycle Design Reports—Always at the Beginning When Does the New Name Get into Salesforce.com? Data Quality Scoring Response History—What Did the Person Do? Facilitating Engagement Nurturing—Some Considerations How Do We Know Whom to Nurture? Disquali cation Feedback Nurture Time-Outs Returning from Nurture Rep Visibility and Aging Creating Opportunities and Campaign Attribution The Big Picture About Full Circle CRM Addendum A—Lead Conversion in Salesforce.com 4 4 4 5 5 6 7 7 7 8 8 9 10 10 11 12 12 12 13 13 14 14 15 Copyright © 2012, Full Circle CRM, Inc., All Rights Reserved. Full Circle CRM | FullCircleCRM.com | 650.641.2766 | 877.834.4001 3 Introduction Because a lead, either an Inquiry or a Target, can be represented in salesforce.com as either a Lead or Contact record, organizations should give careful thought to how to engage in a consistent and measurable manner with both types of salesforce.com objects. Using salesforce.com’s CRM solution for marketing is a natural choice, particularly if your Sales organization is running operations with this popular cloud-based CRM......

Words: 4325 - Pages: 18

Employee Lifecycle

...our data-sets confirm them too: 1. Engagement is Related to Tenure. Studies have consistently revealed that larger organizations struggle with employee engagement through various stages. “The highest employee engagement occurs in companies employing less than 10 people.” This may be reflected in the growing number of people leaving large companies to either found startups or work for one! 2. Engagement Drops. In most cases, employee engagement levels fall as an employee progresses through the employee lifecycle. That is, as an employee’s tenure increases, his/her engagement levels tend drop. But, like any finding, there are exceptions to this one too. We wanted actionable solutions that will optimize the stages of the employee engagement cycle irrespective of the size of the organization and an employee’s tenure. Armed with these lofty requirements, we asked our 9Lenses analysts to share their recommendations for maximizing the stages of our clients’ employee life cycles. We expected an elaborate list of ideas and actions. Surprisingly, the answer was a set of three simple words! “Listen, Repeat, and Act,” says Tim Snyder, Delivery Lead / Sr. Analyst. “It sounds really straight-forward but it is kind of shocking how many companies either struggle to do this or don’t do this at all.” Listen When it comes to listening, we don’t mean just hear or pretend to listen. We mean that you should practice strategic listening. You’ll be surprised at the wealth of human data......

Words: 1002 - Pages: 5

Data Model

...  Chapter 2 Data Models Chapter 2Data Models Answers to Review Questions 1. Discuss the importance of data modelling. A data model is a relatively simple representation, usually graphical, of a more complex real world object event. The data model’s main function is to help us understand the complexities of the real-world environment. The database designer uses data models to facilitate the interaction amongdesigners, application programmers, and end users. In short, a good data model is a communicationsdevice that helps eliminate (or at least substantially reduce) discrepancies between the databasedesign’s components and the real world data environment. The development of data models, bolstered by powerful database design tools, has made it possible to substantially diminish thedatabase design error potential. (Review Section 2.1 in detail.) 2. What is a business rule, and what is its purpose in data modelling? A business rule is a brief, precise, and unambiguous description of a policy, procedure, or principle within a specific organization’s environment. In a sense, business rules are misnamed: they apply to any organization -- a business, a government unit, a religious group, or a research laboratory; large or small -- that stores and uses data to generate information. Business rules are derived from a description of operations. As its name implies, a description of operations is a detailed narrative that describes the operational environment of an organization.......

Words: 648 - Pages: 3

Operations Concept Models

...Porter’s Value Chain Model The Value Chain Model was first evangelized by Michael Porter in the 1980’s and focuses on a company’s ability to create greater value, increase profitability and gain competitive advantage by evaluating the organization as a whole through a linear series of activities performed by the organization to deliver a product and/or service to its customers. This model links functions across an organization and the impacts they have on one another to better identify potential efficiencies rather than reviewing them in separate silos. Activities within the Value Chain Model are divided into primary activities and support activities. Primary activities have direct connection to the physical creation, sale, maintenance and support of a product or service. These activities typically include inbound logistics, operations, outbound logistics, marketing and sales, and service. Support activities are those that support the primary functions and typically include procurement, technology development, human resource management, and infrastructure. Business Concept Overview As a busy new mom trying to juggle the demands of running a household, working full time and attending business school, I am constantly finding myself opting for convenience over health when it comes to eating. Previously, I was a meticulous meal planner for clean eating, spending tens of hours per week on researching, planning, shopping, prepping and cooking. While a healthy lifestyle is......

Words: 1122 - Pages: 5

A Dramaturgical Model of the Production of Performance Data

...DRAMATURGICAL MODEL OF THE PRODUCTION OF PERFORMANCE DATA System informasi mengandung berbagai macam informasi yang sangat berguna dalam menjalankan suatu bisnis, baik untuk mengetahui suatu keadaan atau dalam hal pengambilan keputusan. Berdasarkan artikel ini, penelitian menunjukkan bahwa para pemimpin menggunakan system informasi untuk mengetahui keadaan pasar dan menentukan strategi pasar yang sebaiknya digunakan. Artikel juga menyebutkan bahwa manajer menggunakan system informasi untuk menyediakan laporan secara rinci mengenai kinerja karyawan kepada para pemimpin, selain itu para pemimpin juga menggunakannya untuk mengetahui keadaan perusahaan melalui laporan akuntansi dan juga untuk melihat kinerja para manajer yang berpotensi kelak. Jadi dengan kata lain, para manajer berkeinginan untuk memperlihatkan yang terbaik yang mereka mampu kepada para pemimpin tetapi para manajer harus membuktikan kembali bahwa mereka berpotensi namun keadaan ini membuat kekhawatiran di antara para manajer. Inilah yang kemudian disebut sebagai model dramaturgi dari produksi data kinerja yang nantinya para manajer gunakan untuk mengesankan para pemimpin terhadap kinerja manajer. Dari artikel ini dapat disimpulkan bahwa system informasi digunakan oleh para pemimpin untuk mengetahui keadaan perusahaan dan untuk memberikan penilaian terhadap kinerja karyawannya, termasuk pada manajer. Sedangkan di lain sisi, para manajer menggunakan system informasi untuk memanipulasi......

Words: 353 - Pages: 2

Information Lifecycle

...Introduction In this assessment, our aim is to give an explanation about five phases that information will go through in their extended life. This process is called Information Lifecycle. Information Lifecycle had been divided to five phases which is creation, distribution, use, maintenance and disposition. .All of information is been through this process is to ensure that there is no cases such as information overload or information explosion. The information life cycle is a concept in common use. It indicates that informations are not static, but have a life similar to that of biological organisms: they are born, live through youth and old age and then die. The idea was developed in North America by Schellenberg (1956, 37), who wrote about the ‘life span’ of records, this concept can also be employed in our brief explanation about the ‘information lifecycle’ models used in information management and technology. The purpose of this assessment is also to give some example of activities in our daily life that is related with each of five phases that information been through. These examples provide a ‘feel’ for each of the five phases of information lifecycle in today’s turbulent environments. Five Phases of Information Lifecycle. How information is created. Information is created through stages. For the first stage, information is created from some highly-intelligence individual , an author or a scholars. This group of individual usually......

Words: 1865 - Pages: 8

Data Minig

...com/locate/techsoc Data mining techniques for customer relationship management Chris Rygielski a, Jyun-Cheng Wang b, David C. Yen a,∗ a Department of DSC & MIS, Miami University, Oxford, OH, USA b Department of Information Management, National Chung-Cheng University, Taiwan, ROC Abstract Advancements in technology have made relationship marketing a reality in recent years. Technologies such as data warehousing, data mining, and campaign management software have made customer relationship management a new area where firms can gain a competitive advantage. Particularly through data mining—the extraction of hidden predictive information from large databases—organizations can identify valuable customers, predict future behaviors, and enable firms to make proactive, knowledge-driven decisions. The automated, future-ori- ented analyses made possible by data mining move beyond the analyses of past events typically provided by history-oriented tools such as decision support systems. Data mining tools answer business questions that in the past were too time-consuming to pursue. Yet, it is the answers to these questions make customer relationship management possible. Various techniques exist among data mining software, each with their own advantages and challenges for different types of applications. A particular dichotomy exists between neural networks and chi-square automated interaction detection (CHAID). While differing approaches abound in the realm of......

Words: 8031 - Pages: 33

Cis 336 Week 3 Group Project Task 1 Data Model

...Group Project Task 1 Data Model To Buy This material Click below link http://www.uoptutors.com/cis-336-devry/cis-336-week-3-group-project-task-1-data-model Present a detailed data model for the project scenario. You can create your data model using Microsoft Visio, which you will have access to through iLab and Microsoft Excel, which comes with Microsoft Office. Other tools may be used as long as the output is legible and conforms to standard format. (i.e. I will not be able to grade the data model if I cannot tell what it is supposed to be!). Your data model should include a minimum of an ERD and metadata chart (data dictionary). A key component to every task submission is the team responsibilities document. This document should outline the contributions that each member of the team made to completing the task deliverable. There is a sample document in the Doc Sharing tab that can be used, or each team can come up with their own design. As stated in the syllabus, although this is a team project, each member will also be graded on their involvement in the project. This assessment needs to be honest and accurate in describing the individual members’ activities for the task. Deliverables for this task: A completed Data Model to include: An ERD, showing all tables, related attributes, and the primary and foreign keys. This diagram must show both the relationship and cardinality of the relationship using accepted notation. A Data Dictionary (or meta data chart)......

Words: 294 - Pages: 2

The Role of Product Lifecycle Management Systems in Organizational Innovation

...The Role of Product Lifecycle Management Systems in Organizational Innovation Hamzeh K. Bani Milhim, Xiaoguang Deng, Andrea Schiffauerova, and Yong Zeng* Concordia Institute for Information Systems Engineering, Faculty of Engineering and Computer Science, Concordia University, 1455 Maisonneuve West, Montreal, Quebec, Canada, H3G 1M8 yong.zeng@concordia.ca Abstract. Innovation is a critical ingredient of today’s organizations. Innovativeness helps organizations to maintain their success and position in the market. Numerous research studies examine the factors that impact successful organizational innovation, for example organizational learning capability, organizational structure, etc. Product Lifecycle Management (PLM) systems have been widely implemented to support organizational innovation as well. In this paper, we will discuss the role of PLM systems in fostering the organizational innovation success. Moreover, future trends based on the current PLM systems that would provide further support to the organizational innovativeness will be explained. Keywords: organizational innovation, PLM systems, fostering innovation. 1 Introduction Innovation is considered as the major engine of organizational success. Organizations need to adopt and develop new products and services, and to improve their processes in order to maintain their goals such as profit, growth and continuous development. In addition, they are constantly required to increase their......

Words: 4378 - Pages: 18

Converting a Physical Data Model to a Logical Model

...Table of Contents Setting up the subject area (if required) 2 Bringing in the tables 4 Assigning appropriate Domains 5 The logical Model 6 Identifying a many to many relationship 7 Replacing a mapping table 7 Renaming Logical Model 15 Entity Names 15 Relationship Names 16 Attribute Names 16 Revisiting Physical Model 19 Relationship Naming 20 FINAL PRODUCT 21 Logical VS Physical 21 Setting up the subject area (if required) 1. Open the target and source Erwin models in the same instance of Erwin. 2. If required create a new subject area in the target model where the tables are going to be copied. Figure 1 – Creating a new subject area 3. Change the default theme to ‘Classic Theme’ (right click on the diagram page and click properties ER Diagram Editor will open up. Change the Theme on the ‘General’ tab) Figure 2 – Selecting a Theme Bringing in the tables 1. Select the tables and relationships (if applicable) from the source model file and paste them in the target model while both models are in Physical mode. Figure 3 – Importing/copying the tables 2. Verify that all the tables you need are copied in the Erwin target model. 3. You can close the source model at this stage (recommended) Assigning appropriate Domains 1. Right click on the table and select ‘column properties’. 2. Assign the correct domain parent to all the columns. Figure 4 Assigning Domains to the columns 3. Once you have assigned......

Words: 1187 - Pages: 5

Introductory Network Concepts, Network Standards, and the Osi Model

...Introductory Network Concepts, Network Standards, and the OSI Model 1. There are many reasons for a company to network its computers, some are as follows; Share software, information with others on networks, cheaper than buying individual software and hardware for each standalone especially if the software often offers deals for amount being purchased, e-mail between network users, and flexible access from any computer on the network. 2. Two fundamental network models are peer-to-peer(P2P) or Client/Server. In a P2P network, every computer can communicate directly with every other computer, and no computer on this network has more authority than another. On a client/server network every computer acts as a client or a server. 3. There are 3 types of networks depending on how much territory they cover, they are LANs, MANs, and WAN networks. LAN networks cover a small area like one building or one office. MANs cover multiple buildings like a handful of government offices surrounding a state capital. A WAN network is one that connects two or more geographically distinct LANs and MANs. 4. A server is a computer on the network that manages shared resources. 5. A client is a computer on the network that requests resources or services from another computer on a network. 6. A NIC or Network Interface Card is the device that enables a workstation to connect to the network and communicate with other computers. 7. A NOS or Network Operating System is......

Words: 845 - Pages: 4