Data Stewardship

Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company’s data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward’s time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort. Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management Includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards

Produk Detail:

  • Author : David Plotkin
  • Publisher : Newnes
  • Pages : 248 pages
  • ISBN : 0124104452
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKData Stewardship

Data Stewardship

Data Stewardship
  • Author : David Plotkin
  • Publisher : Newnes
  • Release : 16 September 2013
GET THIS BOOKData Stewardship

Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company’s data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward’s time and effort.

Data Stewardship for Open Science

Data Stewardship for Open Science
  • Author : Barend Mons
  • Publisher : CRC Press
  • Release : 09 March 2018
GET THIS BOOKData Stewardship for Open Science

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional activities broadly aware of the need, complexity, and challenges associated with open science, modern science communication, and data stewardship. The FAIR principles are used as a guide throughout the text, and this book should leave experimentalists consciously incompetent about data stewardship and motivated to respect data stewards as representatives of a new

Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
  • Author : Pieter Kubben,Michel Dumontier,Andre Dekker
  • Publisher : Springer
  • Release : 21 December 2018
GET THIS BOOKFundamentals of Clinical Data Science

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational

Non-Invasive Data Governance

Non-Invasive Data Governance
  • Author : Robert S. Seiner
  • Publisher : Technics Publications
  • Release : 01 September 2014
GET THIS BOOKNon-Invasive Data Governance

Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools

Multi-Domain Master Data Management

Multi-Domain Master Data Management
  • Author : Mark Allen,Dalton Cervo
  • Publisher : Morgan Kaufmann
  • Release : 21 March 2015
GET THIS BOOKMulti-Domain Master Data Management

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of

Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age

Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age
  • Author : Institute of Medicine,National Academy of Engineering,National Academy of Sciences,Committee on Science, Engineering, and Public Policy,Committee on Ensuring the Utility and Integrity of Research Data in a Digital Age
  • Publisher : National Academies Press
  • Release : 17 December 2009
GET THIS BOOKEnsuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age

As digital technologies are expanding the power and reach of research, they are also raising complex issues. These include complications in ensuring the validity of research data; standards that do not keep pace with the high rate of innovation; restrictions on data sharing that reduce the ability of researchers to verify results and build on previous research; and huge increases in the amount of data being generated, creating severe challenges in preserving that data for long-term use. Ensuring the Integrity,

Data Stewardship

Data Stewardship
  • Author : David Plotkin
  • Publisher : Academic Press
  • Release : 31 October 2020
GET THIS BOOKData Stewardship

Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality.?Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to

Executing Data Quality Projects

Executing Data Quality Projects
  • Author : Danette McGilvray
  • Publisher : Academic Press
  • Release : 27 May 2021
GET THIS BOOKExecuting Data Quality Projects

Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for

Data Stewardship for Open Science

Data Stewardship for Open Science
  • Author : Barend Mons
  • Publisher : CRC Press
  • Release : 09 March 2018
GET THIS BOOKData Stewardship for Open Science

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional activities broadly aware of the need, complexity, and challenges associated with open science, modern science communication, and data stewardship. The FAIR principles are used as a guide throughout the text, and this book should leave experimentalists consciously incompetent about data stewardship and motivated to respect data stewards as representatives of a new

Review of NOAA's Plan for the Scientific Data Stewardship Program

Review of NOAA's Plan for the Scientific Data Stewardship Program
  • Author : National Research Council,Division on Earth and Life Studies,Board on Atmospheric Sciences and Climate,Committee on Climate Data Records from NOAA Operational Satellites
  • Publisher : National Academies Press
  • Release : 16 August 2005
GET THIS BOOKReview of NOAA's Plan for the Scientific Data Stewardship Program

To better understand our climate system, it is important that we have climate data records (CDRs)--time series of measurements of sufficient length, consistency, and continuity to determine climate variability and change--that possess the accuracy, longevity, and stability to facilitate credible climate monitoring. In 2004, the National Research Council (NRC) published Climate Data Records from Environmental Satellites to provide the National Oceanic and Atmospheric Administration (NOAA) with initial guidelines on how to develop and implement an effective CDR program. NOAA used

Disrupting Data Governance

Disrupting Data Governance
  • Author : Laura B. Madsen
  • Publisher : Technics Publications
  • Release : 06 December 2019
GET THIS BOOKDisrupting Data Governance

Data governance is broken. It’s time we fix it. Why is data governance so ineffective? The truth is data governance programs aren’t designed for the way we run our data teams, they aren’t even designed for a modern organization at all. They were designed when reports still came through inter-office mail. The flow of data into, within, and out of today’s organizations is a tsunami breaking through rigid data governance methods. Yet our programs still rely

The Open Handbook of Linguistic Data Management

The Open Handbook of Linguistic Data Management
  • Author : Andrea L. Berez-Kroeker,Bradley McDonnell,Eve Koller,Lauren B. Collister
  • Publisher : MIT Press
  • Release : 18 January 2022
GET THIS BOOKThe Open Handbook of Linguistic Data Management

A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data. "Doing language science" depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case

Data Governance

Data Governance
  • Author : John Ladley
  • Publisher : Academic Press
  • Release : 08 November 2019
GET THIS BOOKData Governance

Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk

Big Data, Little Data, No Data

Big Data, Little Data, No Data
  • Author : Christine L. Borgman
  • Publisher : MIT Press
  • Release : 03 February 2017
GET THIS BOOKBig Data, Little Data, No Data

An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. “Big Data” is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more

DAMA-DMBOK

DAMA-DMBOK
  • Author : Dama International
  • Publisher : Unknown Publisher
  • Release : 22 May 2022
GET THIS BOOKDAMA-DMBOK

Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with