# Insight into a common Data Management Interface to re-use experimental data

Damien Saucez

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## To cite this version:

Damien Saucez. Insight into a common Data Management Interface to re-use experimental data. EuCNC & 6G SUMMIT 2025 - European Conference on Networks and Communications, Jun 2025, Poznan, Poland. hal-05477313

HAL Id: hal-05477313

https://inria.hal.science/hal-05477313v1

Submitted on 26 Jan 2026

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Distributed under a Creative Commons CC BY 4.0 - Attribution - International License
6GSNS

Insight into a common Data Management Interface to re-use experimental
data

Damien Saucez (on behalf of the community)

SLICES RI project

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slices RI

6GSNS
IA
How experiment lifecycle are designed to
collect data and meta data?

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How it is made available to the
community, respecting FAIR and EOSC?

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* Metadata is a key enabler of open science, facilitating the repeatability, reproducibility and replication of experiments.

* It is necessary to adhere open science principles, such as FAIR

- to facilitate human-/machine-readability and machine-actionability,

- to ensure compliance with legal and ethical regulations.

* Metadata models must be open, flexible and expandable to accommodate for the evolving needs of an RI in the digital sciences

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* SLICES-RI implements a **Flexible Hierarchical Metadata Model**

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Level 1: **Domain-agnostic** (Core Info, Discovery for any object)

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Level 2: **Type-specific**:

Extends level 1metadata with type specific ones (e.g., shape, statistics for datasets...)

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Level 3: **Domain-specific**:

Serves the particular needs of a specific community

* EOSC-compliant

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* Core Object

- Base class with EOSC-compliant discovery information

- Coded fields (e.g., SLICES.FN.01)

- Supports tags (required, multiplicity, min/max length)

- Automatically generates OpenAPI 3 spec: easy programmatic consumption

- Versioned

* Easily expandable with new types (estimated implementation 4* person days):

- Example: add the *resource* type: 1. Create new subclass (*i.e.*, *resource*), 2. Add specialized fields (*e.g.*, *resource type=physical, virtual*), 3. frontend integration

* Implemented in the Metadata Registry System (MRS)

deployed at https://mrs-portal.slices-staging.slices-be.eu

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Atomic

Dataset 1

Dataset 4

Dataset 2

Dataset ...

Dataset 3

Dataset N

Public. 1

Public. 4

Public. 2

Public. ...

Public. 3

Public. N

Service 1

Service 4

Service 2

Service ...

Service 3

Service N

Complex

Experi. Node 1

Ingest Data from
WSN

Exper. Node 2

Ingest Data from
External
Repository

Exper. Node 3

Data Pre-proc.
Impute Missing
Values

Exper. Node 4

Train Predictive
Model

Exper. Node 5

Evaluate Model

Exper. Node 6

Score Dataset

Collections

Data
Catalogue X

Name

Count

EN1

EN3

EN4

EN5

Experiment Workflow Y

Experiment Z

Name

Workflow Y

Project K

Data Catalogue X

List/Publications>

List<Experiments>

User-defined

Service L

Workflow Y

EN5

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Experiment-
as-a-Service

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* Findability

- Implementation

* Accessibility

- CRU

* Interoperability

- Exporting to EOSC

* Reusability

- Standard

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