'Data ownership' diaporamas de présentation

Operational and Organizational Security

Operational and Organizational Security. Chapter 3. Objectives. Identify various operational aspects to security in your organization. Identify various policies and procedures in your organization. Identify the security awareness and training needs of an organization.

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ASE 107: Mixing Replication with Java in the Database

ASE 107: Mixing Replication with Java in the Database. Johan McDonald & Jimmy Myerscough Enterprise Systems - Sybase S.A. johanm@sybase.co.za & jimmy@sybase.co.za +27 83 379 1394 / +2711 804 3740 August 2003. Agenda. Mixing Replication with Java in the Database.

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IAPP Privacy Certification

IAPP Privacy Certification. Certified Information Privacy Professional. Information Security Robert Jervay Partner. agenda. definitions information infrastructure the IT organization information asset oversight. agenda. information systems access contingency planning

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Navigating NECDMC

Navigating NECDMC. Andrew Creamer, MAEd , MSLIS Scientific Data Management Specialist Brown University Co-Coordinator, NECDMC UMass Medical School NN/LM NER. Organization. Mapped to NSF DMP recommendations Case-based A la carte Starting place. Template. Local resources, tools

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Promoting Integrity in the Next Generation of Researchers

Promoting Integrity in the Next Generation of Researchers. A Curriculum for Responsible Conduct of Research In Occupational Therapy (2005) Funded by the Office of Research Integrity through the American Association of Medical Colleges. Data Management. Objectives.

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Environmental Knowledge-Sharing in Manufacturing Thomas E. Graedel

Environmental Knowledge-Sharing in Manufacturing Thomas E. Graedel. Summary: Yat Tam Critique: Newlyn Hui. BYOB. How many of you plan to own your own business in the future?. How to design a successful product?. Introduction to a Product Design Gate Concepts in Manufacturing

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Security Analysis of Palm OS

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Building Community Capacity Through Data Sharing

Building Community Capacity Through Data Sharing. William Elliott Principle, GeoBorealis & Don Morgan, Executive Director, Northwest Data Sharing Network. Outline. Evolution of community based data management Historic Current Gap Response Implementation of community based data sharing

381 views • 22 slides

Data Quality

Data Quality. David Loshin. Course Structure. Overview of Data Quality Data Ownership and Data Roles Cost Analysis of Poor Data Qaulity Dimensions of Data Quality Data models, Data values, Presentation Data Extraction and Transformation ETL, Data transformation. Course Structure (2).

389 views • 21 slides

Enterprise Resource Planning, 1 st Edition by Mary Sumner

Enterprise Resource Planning, 1 st Edition by Mary Sumner. Chapter 3: Planning, Design, and Implementation of Enterprise Resource Planning Systems. Objective. Understand the information systems development process for enterprise systems, including planning, design, and implementation.

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SSS Build and Configuration Management Update 9/2003

Narayan Desai desai@mcs.anl.gov Argonne National Lab. SSS Build and Configuration Management Update 9/2003. Overview. Infrastructure Updates Library Updates Configuration and Management Components Restriction Syntax Augmentations. Communication Infrastructure. Scale Tested

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WHAT IS DATA MINING?

WHAT IS DATA MINING?. Data mining is the process of exploration and analysis, by automatic or semiautomatic means, of large quantities of data in order to discover meaningful patterns and rules. Need for analysis & predictive modeling Massive data sets e-Business motivation. DATA MINING TASKS.

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Geneva, Switzerland, 20-21 March 2012

ITU Workshop on ICT Innovations (Geneva, Switzerland, 20-21 March 2012). Innovation in big data analytics: from lab to market to standards. Filippo Dal Fiore, PhD M.I.T. Senseable City Lab & Currentcity dalfiore @mit.edu. Geneva, Switzerland, 20-21 March 2012.

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511, Data Ownership, and Sustaining ATIS Operations

511, Data Ownership, and Sustaining ATIS Operations. David Lively ITS America Annual Meeting Palm Springs, California, June 2007. The Erie Canal. Designed for Operations Aka the Return on Investment business model. The Pressure.

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Secondary Use of Healthcare Data

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Big Data, Smart Metrics , and Consumer Behavior

Big Data, Smart Metrics , and Consumer Behavior. Dr. Andreas Weigend and Wang Jian Shuo Shanghai, 29 December 2011. P resentation : weigend.com/files/speaking/SH_2011.12.29.pdf Recordings there as SH_2011.12.29a.mp3 and SH_2011.12.29b.mp3. Agenda. 7:00 Welcome and brief introductions

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EAME Chapter Review John Greenway

EAME Chapter Review John Greenway. EAME Chapter Organization. EAME Chapter. Activity in 2005: The year has seen fair weather for our industry - commitment to IAGC principles remains, though participation suffers somewhat....

119 views • 4 slides