Software & Data

Software, research prototypes, datasets, and reproducibility artifacts developed in connection with my research projects and academic activities.

This section complements traditional scientific publications by preserving the computational artifacts used to implement, evaluate, reproduce, and extend research results.

Software

This section will provide access to software resulting from research and development activities.

Software records may include:

  • source-code repositories;
  • released versions;
  • documentation;
  • licenses;
  • persistent identifiers;
  • related publications;
  • related research projects;
  • contributors;
  • archived releases.

Whenever possible, publicly released research software will be preserved in a repository with version history and associated with a persistent archival record.

Research Prototypes

Not every research implementation is intended to become production software.

Research prototypes are experimental implementations created to investigate algorithms, protocols, architectures, security mechanisms, or technological concepts.

Examples include prototypes related to:

  • cryptographic protocols;
  • digital signatures;
  • public key infrastructures;
  • digital identity;
  • electronic documents;
  • electronic voting;
  • post-quantum cryptography;
  • artificial intelligence and security;
  • finite-field arithmetic.

Preserving these prototypes provides important context for understanding how research ideas were evaluated and how experimental results were obtained.

Datasets

Research datasets will be catalogued independently from the software that produced or processed them.

Depending on the research area, datasets may contain:

  • experimental measurements;
  • benchmark results;
  • cryptographic parameters;
  • polynomial families;
  • computational-search results;
  • performance measurements;
  • evaluation corpora;
  • structured research metadata.

Each public dataset should, whenever possible, include information about its origin, format, version, license, associated software, and related publications.

Reproducibility Artifacts

Reproducibility is an important component of computational research.

For selected publications, this section will preserve the material necessary to reproduce or independently verify reported results.

A reproducibility package may contain:

  • source code;
  • build instructions;
  • experimental parameters;
  • input instances;
  • scripts;
  • raw results;
  • processed results;
  • tables and figures;
  • software environment information;
  • documentation describing the reproduction procedure.

Where appropriate, releases associated with scientific publications may also be deposited in long-term research repositories and assigned persistent identifiers.

Preservation Strategy

Git repositories are useful for collaborative development and version control, but they should not be the only preservation mechanism for scientific artifacts.

The long-term strategy for public research artifacts is therefore based on three complementary layers:

  1. Development — version-controlled source code and active repositories;
  2. Publication — identifiable releases associated with research outputs;
  3. Preservation — archival copies with stable metadata and, whenever appropriate, persistent identifiers such as DOIs.

This website acts as the discovery and contextualization layer connecting these artifacts to the research in which they were produced.

Relationships

Software and data will progressively be connected to other parts of this academic archive.

A research artifact may therefore be related to:

software → release → dataset → publication → project → student → talk

These relationships make it possible to preserve not only individual files, but also the context in which the research was conducted.