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.
Commission Guidelines on Article 50 transparency	European Commission	July 2026	The regulator's reading of the AI Act transparency duties that apply from 2 August 2026; grounds BP04, BP07, BP09 on agent self-disclosure, marking of AI-generated content, named editorial responsibility, and what counts as human review. Confirms that the scientific research exclusion covers Article 50.
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.
F(AI)2R: Verifiable AI Provenance as an Executable Skill	Florian Krebs	July 2026	Self-demonstrated claim-level provenance method; grounds BP07 on traceable, auditable agent output and human/agent attribution. Single-session, self-audited case study; author has a declared stake in the method.
Living guidelines on the responsible use of generative AI in research	European Commission, DG Research and Innovation, with the ERA Forum	May 2026 (third version)	Non-binding guidance to researchers, organisations, and funders; grounds BP07, BP10, BP01, BP02 on disclosure, data sent to external tools, tool fit, and self-governed hosting; source of BP11 (where research data may go).
EDPB Opinion 28/2024 on personal data in AI models	European Data Protection Board	December 2024	Supervisory authorities' position on models trained on personal data; grounds BP10 (models not anonymous by default; remedies reach the model), BP03 (self-declaration is not compliance), BP04 (technical measures); legal ground for BP11 (the deployer checks the provider).

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