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Provenance and Annotation of Data and Processes

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Cover of 'Provenance and Annotation of Data and Processes'

Table of Contents

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    Book Overview
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    Chapter 1 RecProv: Towards Provenance-Aware User Space Record and Replay
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    Chapter 2 Tracking and Analyzing the Evolution of Provenance from Scripts
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    Chapter 3 Trade-Offs in Automatic Provenance Capture
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    Chapter 4 Analysis of Memory Constrained Live Provenance
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    Chapter 5 Analyzing Provenance Across Heterogeneous Provenance Graphs
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    Chapter 6 Prov Viewer: A Graph-Based Visualization Tool for Interactive Exploration of Provenance Data
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    Chapter 7 Intermediate Notation for Provenance and Workflow Reproducibility
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    Chapter 8 Towards the Domain Agnostic Generation of Natural Language Explanations from Provenance Graphs for Casual Users
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    Chapter 9 Versioning Version Trees: The Provenance of Actions that Affect Multiple Versions
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    Chapter 10 Enabling Web Service Request Citation by Provenance Information
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    Chapter 11 Modelling Provenance of Sensor Data for Food Safety Compliance Checking
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    Chapter 12 Modelling Provenance Collection Points and Their Impact on Provenance Graphs
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    Chapter 13 Yin & Yang: Demonstrating Complementary Provenance from noWorkflow & YesWorkflow
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    Chapter 14 MPO: A System to Document and Analyze Distributed Heterogeneous Workflows
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    Chapter 15 PROV-JSONLD: A JSON and Linked Data Representation for Provenance
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    Chapter 16 Provenance as Essential Infrastructure for Data Lakes
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    Chapter 17 Provenance-Based Retrieval: Fostering Reuse and Reproducibility Across Scientific Disciplines
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    Chapter 18 Addressing Scientific Rigor in Data Analytics Using Semantic Workflows
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    Chapter 19 Reconstructing Human-Generated Provenance Through Similarity-Based Clustering
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    Chapter 20 Social Media Data in Research: Provenance Challenges
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    Chapter 21 Fine-Grained Provenance Collection over Scripts Through Program Slicing
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    Chapter 22 Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs
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    Chapter 23 Implementing Unified Why- and Why-Not Provenance Through Games
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    Chapter 24 SisGExp: Rethinking Long-Tail Agronomic Experiments
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    Chapter 25 Towards Provenance Capturing of Quantified Self Data
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    Chapter 26 A Review of Guidelines and Models for Representation of Provenance Information from Neuroscience Experiments
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    Chapter 27 Tracking and Establishing Provenance of Earth Science Datasets: A NASA-Based Example
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    Chapter 28 DataONE: A Data Federation with Provenance Support
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    Chapter 29 Erratum to: Trade-Offs in Automatic Provenance Capture
Attention for Chapter 26: A Review of Guidelines and Models for Representation of Provenance Information from Neuroscience Experiments
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Chapter title
A Review of Guidelines and Models for Representation of Provenance Information from Neuroscience Experiments
Chapter number 26
Book title
Provenance and Annotation of Data and Processes
Published in
Lecture notes in computer science, June 2016
DOI 10.1007/978-3-319-40593-3_26
Book ISBNs
978-3-31-940592-6, 978-3-31-940593-3
Authors

Margarita Ruiz-Olazar, Evandro S. Rocha, Sueli S. Rabaça, Carlos Eduardo Ribas, Amanda S. Nascimento, Kelly R. Braghetto

Editors

Marta Mattoso, Boris Glavic

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 2%
Student > Ph. D. Student 1 <1%
Researcher 1 <1%
Student > Master 1 <1%
Unknown 121 96%
Readers by discipline Count As %
Computer Science 4 3%
Psychology 1 <1%
Unknown 121 96%