[cdif-community] CDIF-4-XAS Implementation Plan

[Asha CODATA]

The OSCARS CDIF-4-XAS project is pleased to announce the publication of an
extra deliverable (D3) the CDIF-4-XAS Implementation Plan.

CDIF-4-XAS Implementation Plan https://doi.org/10.5281/zenodo.19651219

This document describes the first proposal to integrate the IXAS — and IUCr
— recommended formats for X-Ray Absorption Spectroscopy (XAS) data into
workflows in the data processing and analysis platform Galaxy using the
CDIF-4-XAS profile.

The OSCARS project CDIF-4-XAS
<https://oscars-project.eu/projects/cdif-4-xas-describing-x-ray-spectroscopy-data-cross-domain-use>
aims
to advance cross-domain interoperability of XAS data by implementing
the Cross-Domain
Interoperability Framework (CDIF) <https://cdif.codata.org/> using the Data
Description Initiative’s Cross-Domain Integration (DDI-CDI) model.

The project has concluded the two first steps of its roadmap. Firstly,
the domain
familiarisation step <https://doi.org/10.5281/zenodo.14920226> helped to
identify two major standards within the XAS community: NeXus XAS (NXxas)
<https://manual.nexusformat.org/classes/applications/NXxas.html> and the XAS
Data Interchange format (XDI)
<https://github.com/XraySpectroscopy/XAS-Data-Interchange/blob/master/specification/spec.md>.
The NXxas and XDI standards are the focus for harmonization of data
description and formatting recommended by the International X-ray
Absorption Society <https://xrayabsorption.org/> (IXAS) and the International
Union of Crystallography <https://www.iucr.org/> (IUCr). Secondly, in the
metadata modelling step, both NXxas and XDI were mapped to CDIF
<https://doi.org/10.5281/zenodo.17421917> following the DDI-CDI
recommendation where the main output was the definition of a variable
cascade, that describes and harmonises both standards from the level of
concepts and representation down to the level of instances.

This document focuses on the third phase of the roadmap: the development of
implementation guidelines supported by working examples. We now turn to
practical guidance for building interoperable, domain-agnostic solutions
that enable FAIR data exchange.


Thanks,

Asha

--

*CDIF4EOSC: watch this space!
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March 2026 publications
<https://codata.org/read-now-march-2026-publications-in-the-data-science-journal/>
in
the CODATA Data Science Journal <https://datascience.codata.org/>


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___________________________

Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

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