Training “Data/Code Publication”

Training "Data/Code Publication"

Topic

Code Management, Data Organization, Data Publishing, Data Storage, FAIR Data Principles, Licenses, Long-Term Preservation, Open Science, Open Source Code, Sensitive Data

Institutions

EPFL

Authors

Contributors

Abstract

This training material is Module 5 of 5 of the training series by the EPFL Library Research Data team. It focuses on data and code publication, including why data and code should be treated as academic outputs, how to choose appropriate repositories, how to distinguish sharing from publication, how to use persistent identifiers and metadata to support FAIR and reusable outputs, and how to select suitable licenses for datasets and code. It also introduces practical publication workflows commonly used at EPFL, including Zenodo, the EPFL Zenodo community, the connection between Zenodo and GitHub, data journals, data availability statements, and key constraints related to privacy, third-party rights, commercialization, and potential valorization.

Designed for an instructor-led online or onsite workshop (~90 min, introductory level), it is published as an Open Educational Resource (OER). The package includes slides (.pptx and .odp with some speaker notes), a static .pdf export, a dataset for publication exercise (.csv) with its own README, and a README for this training module.

Here are the OER related to the five modules:
Module 1: Training "ABC of Research Data Management (RDM)"
Module 2: Training "Data Management Planning & Funding"
Module 3: Training "Data Organization & Storage Solutions"
Module 4: Training "Ethics in Research Data Management: Anonymization and Best Practices"
Module 5: Training "Data/Code Publication"

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