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Before we start
Central Functions
Initialize
Clone
Connect
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Configure
Branch
ISA Metadata Functions
ISA Metadata
Investigation
Study
Assay
Update
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Nov: CEPLAS PhD Module
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July: RPTU Summer School on RDM
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May: CEPLAS Start Your ARC Series
Frequently Asked Questions
last updated at 2023-06-14
About this guide
In this guide we introduce the different ISA file types used in the ARC.
UserNewbie
ModeRead
Before we can start
ARC builds on ISA
The ARC builds on the ISA Abstract Model for metadata annotation.
Briefly, the ISA model comes with a hierarchy (ISA: Investigation - Study - Assay) that aligns well with most projects in (plant) biology labs. It allows to group multiple assays to one study, and multiple studies to one investigation.
Your ARC has one isa.investigation.xlsx
workbook at its root (i.e. every ARC collects the data to one investigation). Each study or assay that you add to your ARC contains one isa.study.xlsx
or isa.assay.xlsx
, respectively.
ISA-Tab for intuitive collection of metadata
The most user-intuitive format of the ISA metadata framework is ISA-Tab. As the name suggest, it's a tabular format. Hence, you can view the files in a spread-sheet program of choice.
Comparison of the ISA file types. Grey cells: keys. White cells: values.
The major difference between the ISA workbooks is their read-direction:
isa.investigation.xlsx
is read top-to-bottom (keys on the left, values extending to the right)
isa.study.xlsx
and isa.assay.xlsx
left-to-right (keys on top, value extending to the bottom)
A registry to your ARC
The isa.investigation.xlsx
allows to store metadata relevant on the investigation-level (e.g. title, date, contributor and publication details of the investigation). In addition, it functions as a "registry" to your ARC.
Each study (isa.study.xlsx
) and assay (isa.assay.xlsx
) of your ARC as well as a summary of metadata contained in them are registered and listed in the isa.investigation.xlsx
.
The isa.investigation.xlsx functions as registry to your ARC.
💡 When opening the isa.investigation.xlsx
for the first time, it may be necessary to widen the first column to make the entries visible.
Communicate how your processes connect
The output of one study or assay can function as the input to another study or assay. By using the same unique identifiers across your isa.study.xlsx
and isa.assay.xlsx
workbooks, respectively,
you can communicate how the experimental processes and workflows connect.
Use unique identifiers across ISA files to connect your workflows.
You can point to data files
By linking files stored in your ARC (e.g. raw data files in a dataset folder), you can let others know which experimental workflow was followed to produce these data files.
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
.