Start smart finish wiseThe Kiel Marine Science Provenance-Aware Data Management Approach

Peer Brauer1, Andreas Czerniak2, Wilhelm Hasselbring1

1Software Engineering GroupKiel University

2Kiel Data Management Team, Geomar

Köln, 13.06.2014

Motivation

Motivation

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Start Smart PubFlow

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Agenda

‣The „Start smart“ Approach‣The PubFlow Framework‣The Evaluation Scenario

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Section 1

The „Start Smart“ Approach

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Basic idea

• Before the Cruise: Describe the experiments as workflows

• In the field: Use predefined forms and electronic pens to write your measurements down

• In the lab: Extract the information of the forms automatically

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Before the cruise

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Before the cruise

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During the cruise

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During the cruise

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After the cruise

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„Start Smart“

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Section 2

The PubFlow Framework

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What is PubFlow about?

‣Creating a scientific workflow environment for data publication

‣Introducing role based working models to the domain of data management

‣Increasing the degree of automation in data management

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FeaturesProvenance Awareness

‣Automatically capturing of provenance data‣Integrated W3C Prov-O compliant provenance archive‣Workflow based provenance browser

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Features Graphical Workflow Editor

‣Supports graphical DSLs‣Data managers can easily define own workflows‣Workflows can be transformed to selected target execution environment

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Section 3

The Evaluation Szenario

19Photo: NOAA

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Evaluation Scenario

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Evaluation Scenario

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Evaluation Scenario

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Evaluation Scenario

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Evaluation Scenario

Map toPangaea

Load fromDB

Open Tasks?

Edit Dataset

ToPangaea

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Evaluation Scenario

Photo: NOAA

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Evaluation Scenario

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Conclusion„Start smart finish wise“

‣Our approach collects and preserves provenance information

‣Introduces role based working models to the domain of data management

‣Allows (semi-) automatic research data publication