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Adding external data to the ARC

last updated at 2023-07-07 About this guide

In this guide we recommend routines to properly add data from external sources to your ARC.

UserAdvanced ModeTutorial

⚠️ This guide presents an interim solution. We are working on a more user-friendly implementation.

Before we can start

☑️ You are familiar with the ARC concept and ISA file types

Research projects rarely start out of the blue. Rather every project builds on previous findings and published or unpublished datasets.

Add a study to store and describe the external data

To properly re-use and reference such a dataset, we recommend to add a study to your ARC. Every study by default comes with four parts:

└── <StudyName> ├── README.md ├── isa.study.xlsx ├── protocols └── resources

💡 The easiest way to add a new study is by using the ARC Commander's function:

arc study add --identifier <StudyName>

💡 As with any other routine used by researchers to share scientific results and data, the responsibility to acknowledge scientific integrity, follow guidelines of good scientific practice, institutional guidelines for data handling, and respective laws for licensing, and – if applicable – to properly reference or cite the data source lies with the individual researcher.

💡 You can add datasets to the .gitignore file, if you are unsure about the conditions to reuse data from an external source.

DataPLANT Support

Besides these technical solutions, DataPLANT supports you with community-engaged data stewardship. For further assistance, feel free to reach out via our helpdesk or by contacting us directly .
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