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Introduction

The ResilienceHub uses FairdomSEEK with ISA settings as the metadata catalogue. This section describes how to enter metadata in the right format, with a detailed step by step guide for entering data for the first time. A shorter reference guide for additional studies will be included later.

If you already have an assay to upload to and just want to check you're set up correctly, see Before You Upload.

The format has a fixed structure, but it is flexible enough to fit many types of studies. This means you need to understand the model well and decide how to apply it to your study. The documents guide you through the choices you need to make, and how you can make them. Do plan time for this, especially the first time. If you are stuck at any point, things are unclear or you need help, please reach out to the DataXR team at data@cropxr.org

Process outline

We suggest you do phase 0 a few days before you plan to do your metadata entry and that you do step 1 and 2 in one session.

Phase 0: preparations

Get an overview of the process and prepare data entry. Importantly, read this document all the way through (except the detailed step-wise instructions of phase 2, 3 and 4). Try to understand the process, the metadata model, and the concepts. You will define the study by choosing what experiments to include. You gather files that contain metadata regarding your study.

Phase 1: define study, assays and sample templates

In the web interface, create (an investigation and) study. Choose what fields to include in your study to properly capture the metadata. Define assays for the experiments performed in the study.

Phase 2: critical metadata entry

Decide how to group conditions and samples, so that all the information you need is captured. In the web interface, fill in all the fields that are essential to understand the study, focusing on key aspects, such as species and assay type. In this phase you also link the data to the performed experiments, so others can find and understand your data.

Phase 3: improving metadata

When the fields have been defined, at any point in time you can save the metadata and edit it later. Add any additional metadata you collected; this makes your data easier to reuse. You can also manage who can see your metadata at any time.