Library¶

The library is the provenance store for the best practices. Everything used to model a practice, whether it supported, qualified, or contradicted a claim, is recorded here so a reader can check it. It has two tiers.

Distilled sources are rich documents (strategy papers, policy reports, institutional documents) reduced into the passages that matter, with locators and a mapping to the practices. Reference works are the standards, papers, reports, and guidance cited as point support, each a short bibliographic record.

Raw documents are not hosted here. Each entry carries a full citation to the original. The atom-level record of which source bears on which practice line, and whether it is for or against, lives in the provenance data (assets/provenance.yml).

Distilled sources¶

Document	Issuing body	Date	Role in the record
ELIXIR TF Agentic AI: agenda and rolling best practice	ELIXIR Europe, AI Ecosystem Focus Group	2026	Main source for the provider-facing practices (BP02, BP03, BP05, BP06, BP07, BP09); also seeds BP08 (evaluation).
Agentic AI in the higher-education system	Hochschulforum Digitalisierung / KI-Campus	May 2026	Main source for the governance practice (BP04); grounds several others.
EU Expert Forum on Frontier AI	European Commission, European AI Office	July 2026	Largely out of scope; grounds BP01, BP03, BP04, BP07 on method choice, evaluation, and provider choice.
ELIXIR AI strategy	ELIXIR Europe	June 2026	Largely organisational; grounds BP05, BP07, BP08 on curated data, provenance, and validation.
The GenAI Divide	MIT Project NANDA	July 2025	Out-of-domain enterprise report; grounds BP01, BP06, BP08 on task fit, workflow design, and outcome-based evaluation; qualifies BP03.
Expectation–Realisation Gap for Agentic AI	Lobentanzer (Helmholtz Munich)	February 2026	Review of controlled trials on realised vs expected benefit; downweighted context (author is a contributor); grounds BP01 on heterogeneity and benefit planning, with optional context for BP06, BP08, BP09.
EU AI Omnibus	European Union	July 2026	Largely out-of-scope regulatory simplification of the AI Act; grounds BP04 and BP10 on technical safeguards against foreseeable misuse, with context for BP03, BP08.
A safer framework for patient data in AI-for-Science grants	Gagneur (TU Munich)	July 2026	Individual commentary on grant data terms; grounds BP04, BP02, BP09 on data-egress control, governed access, and effective oversight; flags a gap on controlled-access data in third-party training.

Reference works¶

The standards, papers, and reports cited by the practices, grouped by theme. Each links to its bibliographic record.

Method selection

Data and metadata standards

Provenance, citation, and retraction

Governance and risk frameworks

Interface security and channels

Agent-tool design

Human oversight

Evaluation

Dual-use and frontier safety

Research ethics and data protection