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Data into actionable information

Data quality challenge

Data standards challenge

Meta data challenge

Contextual knowledge challenge

Practical examples

Data links

Data Links

Data Quality Tools for Data Warehousing - A Small Sample Survey
This paper, generated by the Center for Technology in Government, discusses how data quality is one of the biggest issues people face when integrating data. Data quality tools are used in data warehousing to ready the data and ensure its cleanliness. This research focuses on how the data quality tools address problems in data.

 

Data Quality and Systems Theory
This paper, written by Ken Orr from the Ken Orr Institute, discusses how data quality, meta data, and systems theory influence information systems and the results they generate.

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Total Data Quality Management Research Program at M.I.T.
The overall objective of this program is to establish a solid theoretical foundation for Data Quality Management to devise practical methods for business and industry to improve data quality. It includes tools and other capabilities necessary for data quality management in the technical, economic, and organizational phases of business operations. Also listed on this site are links to conferences and papers about data quality.

 

DATA QUALITY "is an annual peer-reviewed journal founded in 1994 by a group of statisticians, information scientists, and quality practitioners. DATA QUALITY includes original research papers and book reviews about data and information quality. They range in scope from general interest to theoretical."

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Tools for Traveling Data
This article, written by Joseph Williams, discusses the idea that "one of the most important but overlooked steps in building a data warehouse is loading data in the warehouse database. This article discusses three broad categories of tools for helping load data into a data warehouse-data quality, extraction and transformation, and cleansing."

 

Introduction to Metadata: Setting the Stage
“Metadata, literally "data about data," is an increasingly ubiquitous term that is understood in different ways by the diverse professional communities that design, create, describe, preserve, and use information systems and resources.” This article provides a description of the different uses and categories of metadata and their various roles and functions.

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Technology Policy 97-6 Geographic Information Systems (GIS) Data Sharing
This document, set forth by the NYS Office for Technology, discusses how electronic geographic data can be shared among federal, state, and local agencies. It reviews provisions that have been made to ensure that GIs data is shared in an appropriate and consistent manner. Custodianship, standards, maintenance, pricing, requests, and submissions are outlined.

 

Technology Policy 96-19 Data Sharing Among Agencies
This document, set forth by the NYS Office for Technology, describes steps that NYS agencies should follow when considering sharing data electronically. In addition, this policy helps ensure a standard process of data sharing among NYS agencies. Each step describes a key component in data sharing and includes questions that can help an agency prepare and complete that step. Also included is a sample case study that describes one agency’s initiative through each step.

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Technology Policy 97-3 Statewide Data Dictionary
This policy, set forth by the NYS Office for Technology, announces the establishment of a "Statewide Data Dictionary" that features a core section of data elements that cross all State agencies (i.e., name, address, etc.). It has a section dedicated to each functional area of government activity (i.e., criminal justice, health, etc.) that covers the data elements unique to that area.

 

Meta Data Standards and Registries: An Overview
This paper (in PDF format), generated by the US Environmental Protection Agency and the US Bureau of Labor Statistics, discusses the work that is being done to reach consensus on standardizing meta data and registries for organizing that meta data. It provides information about meta data and also goes in-depth on the impact a meta data registry can have on a statistical agency.

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Dr. Tom’s Meta-Data Primer
This paper, written by Dr. Thomas Wason, provides a basic understanding of meta data, how it is structured, what it means, and how it is represented. It also describes when there is sufficient meta data, and how meta data is scaleable and interoperable with other systems.

 

Creating a Statewide Spatial Data Repository and Geographic Information System Data Cooperative
The NYS GIS Clearninghouse shows data sharing was integral to the successful creation of the NYS GIS Clearinghouse. This project focused on tools and policies for data sharing. A prototype meta data repository accessible over the Internet was produced. It included an inventory of spatial data resources around the state, and a set of policy and management recommendations for a permanent data cooperative.

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An Introduction to Metadata: Pathways to Digital Information
This site is a collection of metadata articles, a suite of standards, and useful links for Metadata for the World Wide Web. This metadata resource strives to "help those with a stake in the debate (everyone from librarians to museum professionals to anyone who intends to make information available via the Internet) to avoid mistakes and wasted effort, and to make informed decisions about the information they seek to record and disseminate." The Getty Research Institute, which sponsored the development of this site, "promotes innovative scholarship in the arts and humanities, to bridge traditional academic boundaries, and to provide a unique environment for research, critical inquiry, and debate."

Research and Practical Experiences in the Use of Multiple Data Sources for Enterprise Level Planning and Decision Making: A Literature Review
This paper written by the Center for Technology in Government, discusses how many agencies are faced with the challenge of integrating data sources to provide a broader look at programs and service. To do this, information sharing is essential. It allows agencies to improve planning and increase productivity. The use of multiple data sources for enterprise level planning and decision making is also increasing. This paper identifies current research. It also outlines practical experiences in the use of multiple data sources to support performance measurement, strategic planning, and interorganizational business processes.

 

Dealing with Data Seminar Summary Report
This report (in PDF format) from CTG's seminar "Dealing with Data," addresses many data issues through summaries of presentations on data quality management, data tools and techniques, long term maintenance and preservation, and other data issues.

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Putting Information Together: Building Integrated Data Repositories Seminar Summary Report
Using CTG's Homeless Information Management System prototype project as an example, this seminar summary report discusses the management, policy, and technology issues organizations face when integrating data from multiple sources, to create a new information resource for cross program, cross organizational decision making and planning.

 

DM Review
DM Review is a monthly issues and solutions publication that focuses on data warehousing and business intelligence.

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DB2 Magazine
DB2 Magazine is an electronic publication dedicated to providing strategies and solutions for database programmers, administrators, and users.

 

Data Warehousing: Introduction to data warehousing
A web-based resource produced by the Operational Research Society to help members of the OR community gain a good understanding of data warehousing. Efficient data warehousing is seen as crucial in enabling companies and organizations to utilize existing information by providing a a central data repository of stable, accurate, consistent and clearly understood data.

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Turning Data into Understanding: A Field Guide to Knowledge Support Technology
The guide (in PDF format) developed by the NYS Forum for Information Resource Management, is designed to help government decision makers determine whether technology tools can and should be used to better understand the problems facing their organizations.

Keyword Search Suggestions

  • "Data Integration"
  • "Data Mining"
  • "Data Standards"
  • "Data Warehousing"
  • "Data Cleansing"
  • "Data Extraction"
  • "Data Migrating"
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Last updated: October 22, 2001