Data@CLIM+ Knowledge Center
Technical resource

Data Management

NCCR-CLIM+ is a truly open science community. The project is committed to open science strategies.

Research data lifecycle: define the research question, create a project proposal and data management plan, collect, store and document data, evaluate and select, process, analyse and interpret, publish and manage access, preserve, and verify and reuse.

CC-BY Andres Bucher

Contribution by Dr. Julian Dederke and Dr. Fabian Schmid, Research Data Management and Digital Curation Team at ETH Library, ETH Zurich

Guidelines

✓Be sure important data is backed up; i.e., in a "store" not a "scratch" directory.
✓Store primary and derived datasets in separate directories.
×Avoid spaces and special characters (& , * % # ; * ( ) ! @ $ ^ ~ ' { } [ ] ? < >.) in filenames.
×Avoid creating multiple copies of your data.

Recommended resources

C2SM Data and Code Management Recommendations

Practical recommendations for managing research data and code.

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ETH Zurich: C2SM Best Practices

Data-handling guidance, repositories, licensing advice, and related resources.

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EPFL: Research Data Management

Research data management principles, responsibilities, and support resources.

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University of Bern: Managing data

Guidance on organizing, documenting, storing, and reusing research data.

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University of Geneva: Research Data Portal

Resources and tools for managing research data throughout its lifecycle.

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University of Lausanne: Managing research data

Guidance and resources for managing research data throughout the research lifecycle.

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University of Zurich: Research Data Management

Support for finding, documenting, storing, publishing, and reusing research data.

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Questions? Contact Anna at anna.merrifield@c2sm.ethz.ch