Data Provenance and Data Management in eScience

Data Provenance and Data Management in eScience

Author: Qing Liu

Publisher: Springer

ISBN: 9783642299315

Category: Technology & Engineering

Page: 184

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This book covers important aspects of fundamental research in data provenance and data management(DPDM), including provenance representation and querying, as well as practical applications in such domains as clinical trials, bioinformatics and radio astronomy.
Data Provenance and Data Management in eScience
Language: en
Pages: 184
Authors: Qing Liu, Quan Bai, Stephen Giugni, Darrell Williamson, John Taylor
Categories: Technology & Engineering
Type: BOOK - Published: 2012-08-04 - Publisher: Springer

This book covers important aspects of fundamental research in data provenance and data management(DPDM), including provenance representation and querying, as well as practical applications in such domains as clinical trials, bioinformatics and radio astronomy.
Secure Data Provenance and Inference Control with Semantic Web
Language: en
Pages: 478
Authors: Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar
Categories: Computers
Type: BOOK - Published: 2014-08-01 - Publisher: CRC Press

With an ever-increasing amount of information on the web, it is critical to understand the pedigree, quality, and accuracy of your data. Using provenance, you can ascertain the quality of data based on its ancestral data and derivations, track back to sources of errors, allow automatic re-enactment of derivations to
A Framework for Managing Big Data Provenance
Language: un
Pages: 296
Authors: Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar
Categories: Big data
Type: BOOK - Published: 2015 - Publisher:

Provenance is a key metadata which contains information about how, when, and where a data product was derived from. Data provenance is used for describing data evolution, which records the whole data process, including input, output and transformation in scientific workflow. Making systems provenance-aware can greatly benefit all parties involved.
Provenance and Annotation of Data
Language: un
Pages: 288
Authors: Luc Moreau (Prof.), Ian Foster
Categories: Business & Economics
Type: BOOK - Published: 2006-09-27 - Publisher: Springer Science & Business Media

Provenance is a well understood concept in the study of ?ne art, where it refers to the documented history of an art object. Given that documented history, the objectattains anauthority that allows scholarsto understandand appreciateits importance and context relative to other works. In the absence of such history, art objects
Data Provenance A Complete Guide - 2020 Edition
Language: un
Pages: 304
Authors: Gerardus Blokdyk
Categories: Business & Economics
Type: BOOK - Published: 2019-11-17 - Publisher: 5starcooks

Do you all define Data Provenance in the same way? Are the Data Provenance requirements complete? How do you manage Data Provenance Knowledge Management (KM)? What are the core elements of the Data Provenance business case? Who is the Data Provenance process owner? Defining, designing, creating, and implementing a process