Understanding Data and Information Systems for Recordkeeping. by Philip C. Bantin



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Transcription:

Contents i Understanding Data and Information Systems for Recordkeeping by Philip C. Bantin The Archives & Record Manager s Bookshelf 2 Neal-Schuman Publishers, Inc. New York London

Published by Neal-Schuman Publishers, Inc. 100 William St., Suite 2004 New York, NY 10038 Copyright 2008 by Neal-Schuman Publishers, Inc. All rights reserved. Reproduction of this book, in whole or in part, without written permission of the publisher, is prohibited. Printed and bound in the United States of America. The paper used in this publication meets the minimum requirements of American National Standard for Information Sciences Permanence of Paper for Printed Library Materials, ANSI Z39.48 1992. Library of Congress Cataloging-in-Publication Data Bantin, Philip C. Understanding data and information systems for recordkeeping / by Philip C. Bantin. qp. cm. (The archives & record manager s bookshelf ; 2) Includes bibliographical references and index. ISBN 978 1 55570 580 0 (alk. paper) 1. Records Management. 2. Electronic information resources. 3. Database management. 4. Business records Management Data processing. I. Title. HF5736.B25 2008 651.50285 dc22 2008034855

Contents List of Figures Foreword Preface vii ix xi 1. The Impact of Change on the Management of Electronic Records 1 Changes in Technology 1 Changes in Organizational Structure and Workflow 6 The Effect of Change on Records Management 10 Models for Managing Electronic Records 18 References 22 2. Recordkeeping Systems 27 What Are Records? 27 What Is Records Management? 29 Primary Functional Requirements for Recordkeeping Systems 31 Specific Requirements for Recordkeeping Systems 34 Non-electronic Records 44 The Importance of Metadata 45 Key Recordkeeping Metadata 47 OAIS Model 55 Other Points of Agreement about Recordkeeping Metadata 59 References 61 3. Transaction Processing Systems Constructed on the Relational Database Model 65 Technology and Information 66 Data and Information 67 Information Management Systems 68 Transaction Processing Systems 72 Database Structures 81 iii

iv UNDERSTANDING DATA AND INFORMATION SYSTEMS Transaction Processing Systems as Recordkeeping Systems 103 Making Transaction Processing Systems Better Recordkeeping Systems 112 References 126 4. Enterprise Document Management and Content Management Systems 129 Document Management Systems in the Early to Mid 1990s 130 Early to Mid 1990s Document Management Systems as Recordkeeping Systems 133 Changes in Enterprise Document Management Systems in the Last Decade 136 Modern Document Management/Records Management Applications as Recordkeeping Systems 142 References 148 5. Decision Support Systems and Data Warehouses 149 Decision Support Systems 149 Database Solutions for Managers and Executives 158 Operational Data Store 159 Data Marts 161 Data Warehouses 163 Decision Support Systems Based on the Data Warehouse as Recordkeeping Systems 187 Making Data Warehouses Better Recordkeeping Systems 193 References 193 6. E-mail Management 199 Legal Cases Involving E-mail 200 Court Cases Involving Discovery and Preservation of E-mail 204 Lessons Learned from the Legal Cases 214 Surveys on E-mail Management 215 Strategies for Making Retention Decisions 218 Strategies for E-mail Management 221 References 227

Contents v 7. Laws, Regulations, and Best Practices Relating to Electronic Records Management 231 Laws and Acts 233 Impact of SOX 248 Rules and Regulations 256 Guidelines and Best Practices 266 Lessons Learned from the Laws, Regulations, and Best Practices 283 References 289 8. Conclusion 295 Progress 295 Challenges 297 References 301 Index 303 About the Author 331

List of Figures Figure 1.1: Technology Shifts 7 Figure 1.2: Networked Organizations 11 Figure 2.1: OAIS Content Information Object 57 Figure 2.2: OAIS Preservation Description Information 58 Figure 3.1: Relational Database Design 74 Figure 3.2: Data Models Depicting Entities and Relationships 80 Figure 3.3: Data Models Depicting Attributes 81 Figure 3.4: Representation of the File Management Structure 82 Figure 3.5: Hierarchical Database Structure 85 Figure 3.6: Network Database Model 85 Figure 3.7: Strengths and Weaknesses of the Different Structures 88 Figure 3.8: Example of a Table in a Relational Database 90 Figure 3.9: Example of a Data Dictionary 93 Figure 3.10: PeopleSoft Effective Dated Records 99 Figure 3.11: Example of Effective Dating 100 Figure 3.12: Conceptual Design of Portal, Applications, and Infrastructure 122 Figure 3.13: EDEN Workflow Engine and Electronic Recordkeeping 123 Figure 4.1: Logical Model of the EDMS Architecture 131 Figure 4.2: DoD Comparison of FileNet and ForeMost 138 Figure 4.3: Enterprise Content Management Functionality Figure 5.1: Three-Dimensional Data Cube 157 Figure 5.2: Differences between Operational Data and Derived DSS Data 160 Figure 5.3: Wholesale Database Snapshot 171 Figure 5.4: Selective Database Snapshot 172 Figure 5.5: Cumulative Database Snapshot 173 Figure 5.6: Data Integration Process 174 vii

viii UNDERSTANDING DATA AND INFORMATION SYSTEMS Figure 5.7: Fact Table 176 Figure 5.8: Dimension Table 177 Figure 5.9: Creation of Relationship Artifacts 180 Figure 5.10: Architecture of a Distributed Data Warehouse 186 Figure 7.1: Smaller Company Cost Summary 249 Figure 7.2: Larger Company Cost Summary 250 Figure 7.3: Relationships in COSO 269 Figure 7.4: Relationships between SOX, SEC, COSO, and COBIT 276

Foreword Philip Bantin s Understanding Data and Information Systems for Recordkeeping is an important book for the archives and records management professional. As the author points out in his introduction, archivists and records managers need to understand the information systems that create and manage contemporary records. This understanding is necessary to communicate our needs and concerns to the information technology professionals responsible for systems and the records they contain. This book goes far to bridge the gap between professional perspectives. After discussing the development of digital information systems since the Second World War, Bantin summarizes archival theory and practice about the nature of recordkeeping systems. Taken together, these first two chapters present a foundation for discussions among information and recordkeeping professionals. In chapters 3 6, Bantin presents a structured approach for understanding the most common information systems and applying recordkeeping principles to them. He covers in depth: transaction processing systems (TPS) constructed on the relational database model, enterprise document management, and content management systems; decision support systems and data warehouses; and e-mail management systems. Throughout these chapters, Bantin s central principle is that archivists and records managers need to understand the technology in order to manage the records that flow from each technology. Bantin makes this information accessible to technophobes as well as technophiles. Chapter 7 recognizes that the information and recordkeeping environments are affected by larger legal and regulatory concerns. Because organizations rely on digital systems for their mission-critical activities, the information systems often are part of legal and regulatory proceedings. Archivists and records managers increasingly are finding themselves part of compliance teams, either permanently or on an ad hoc basis. Understanding the legal system has become as imix

x UNDERSTANDING DATA AND INFORMATION SYSTEMS portant as understanding the information system itself. This book helps with both levels of understanding. As series editor, I am pleased that Understanding Data and Information Systems for Recordkeeping is part of the Archives and Record Manager s Bookshelf. This is precisely the kind of book that Neal- Schuman and I envisioned when establishing the series a book that recognizes the commonality of interest among archivists and records managers and facilitates communication between these closely related professions. Philip Bantin has been a leader in the management of digital records for the last two decades. In this book he summarizes much of what he has learned from being in both the trenches and the classroom. Countless archivists and records managers will benefit from his generosity in undertaking this daunting task. Gregory S. Hunter, Ph.D., CA, CRM Long Island University Series Editor

Preface The automation of records has caused a revolution in archives and records management. Fifty years ago, an organization would create and archive vital business documents such as annual budgets and longrange plans entirely in paper form. Fifteen years ago, the same organization might have created a budget or plan on the computer, but would print it out as a report and file it physically for long-term access. Today, organizations use automated electronic systems to create, store, and manage many of their most important, mission-critical records. In order to be effective in this new world of electronic records management, archivists and records management professionals require two types of knowledge. First, they must understand the design features and existing functionality of the information systems commonly used by their institutions. Second, they must define the functional requirements for the type of system they want to build. Existing literature doesn t address these issues adequately. IT literature has discussed the first point in great detail and usually in very technical language. Rarely does IT literature analyze the functionality of these information systems in terms of their impact on recordkeeping. Records management and archives literature, on the other hand, has done a good job of defining recordkeeping requirements, but has rarely described and analyzed information systems in any detail. In Understanding Data and Information Systems for Recordkeeping, I attempt to provide a bridge between the theoretical discussions about recordkeeping requirements and specifications that have taken place in our field and the general technical facts available elsewhere. Using largely non-technical language, I discuss how information systems capture, store, and manage data. I also examine how to adapt these systems for use as recordkeeping systems, which are special information systems that manage and preserve the records that provide evidence of business transactions or of personal activities. I have tried to address the concerns of archivists and records managers in both the public and xi

xii UNDERSTANDING DATA AND INFORMATION SYSTEMS private sectors. I hope that the basic content will also be useful for others involved in the process, including IT staff, auditors, risk managers, and lawyers. My discussion of commonly used information systems, such as relational databases, data warehouses, decision support systems, and document management and content management systems, is organized around four objectives. First, I provide information on how these systems are designed and how to identify which types of functionality are primary and which are secondary. Second, I review the basic architecture of these systems to provide readers with a more detailed analysis of how data, information, and records are processed and managed. A third objective is to use the design features and functionality to analyze how the information systems function as recordkeeping systems. To achieve this goal, I compare the known functionality of the system under review with the functional requirements and metadata specifications that have been established for recordkeeping systems. Fourth, I analyze the strengths and weaknesses of the information systems as recordkeeping applications. As part of this analysis, I recommend some options and strategies for transforming these systems into better, more functional recordkeeping systems. Understanding Data and Information Systems for Recordkeeping reflects the reality that in most cases, you will not be designing a new structure from scratch. Most projects will involve critiquing what currently exists and building future strategies around and through these information systems. Simply knowing what you want to achieve will not get you where you want to go. To reach your goals, you must understand the present and existing environment and fit your requirements and specifications into that framework. ORGANIZATION Chapter 1, The Impact of Change on the Management of Electronic Records, examines the outside forces that have impacted how records are created and managed. Questions that are addressed in the chapter include: What changes have occurred in the business environment? How has computer technology developed? How are these changes in organizational structure and in technology transforming archives and records management theory and practice? Chapter 2, Recordkeeping Systems, reviews the definitions of

Preface xiii records, recordkeeping systems, and metadata. Functional requirements statements, metadata specifications, and the characteristics that should be considered essential and fundamental for any such system are discussed. Chapter 3, Transaction Processing Systems Constructed on the Relational Database Model, details the design features and functionality of these systems. Issues covered include data model construction, structural components of relational databases, the ways in which a database preserves historical information, and strategies for making transaction processing systems better for recordkeeping. Chapter 4, Enterprise Document Management and Content Management Systems, discusses the evolution of document management systems from the mid 1990s to the present. It describes the changes of the past few years, current functionality, and the recordkeeping capabilities of content management systems. Chapter 5, Decision Support Systems and Data Warehouses, explains these applications, how they are structured, and how they capture, integrate, and transform data. The types of metadata typically found in the warehouse and the changes warehouses may undergo in the near future are also covered. The chapter concludes by examining whether data warehouses can be transformed into effective recordkeeping systems. Chapter 6, E-mail Management, outlines strategies for handling e-mail as a business record. It examines relevant court cases and litigation, pinpointing specific challenges in managing e-mail and actions that can be taken to overcome these challenges. Chapter 7, Laws, Regulations, and Best Practices Relating to Electronic Records Management, evaluates the most relevant legislation and requirements from the United States, Canada, and the United Kingdom. It also identifies lessons to be learned from these laws, regulations, and best practices as they relate to recordkeeping. Chapter 8, Conclusion, suggests reasons to be both optimistic and pessimistic about the future of electronic records management. Developing effective electronic recordkeeping systems requires a thorough understanding of existing information systems. Understanding Data and Information Systems for Recordkeeping is dedicated to providing archivists and records managers with essential knowledge on how commonly used systems process data and information so that our professions can make a real and significant impact on how records are managed within our institutions.