Add AI best practices and guidelines entries

Added multiple entries related to AI best practices, standards, and guidelines for various domains including healthcare, materials science, and digital health. Each entry includes an ID, name, type, description, URLs, access model, domain, and OSAI recommendations.

Author: gavinf97

data/ecosystem_components_list.yml

@@ -4541,3 +4541,303 @@
   access-model: Free
   domain: life science
   osai-recommendation: R6, R7
+
+- id: miclaim
+  name: Minimum Information about Clinical Artificial Intelligence Modeling (MI-CLAIM)
+  type: Best practice
+  description: A minimum information standard for reporting on clinical artificial intelligence modeling.
+  url: https://github.com/beaunorgeot/MI-CLAIM
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/1400
+  access-model: Free
+  domain: life science
+  osai-recommendation: R4
+  osai-explanation: Reporting guideline for disclosing information on clinical AI models (R4).
+
+- id: nomad
+  name: NOMAD (Novel Materials Discovery)
+  type: Registry
+  description: A repository for managing, sharing, and analyzing materials science data. It hosts data from simulations and experiments, making it AI-ready.
+  url: https://nomad-lab.eu/
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/2501
+  access-model: Free
+  domain: life science
+  osai-recommendation: R2
+  osai-explanation: Repository for AI-ready datasets in materials science (R2).
+
+- id: natureportfolioeditorialpolicies
+  name: Nature Portfolio Editorial Policies
+  type: Best practice
+  description: Editorial policies for Nature Portfolio journals, which may include requirements for data, code, and AI model sharing.
+  url: https://www.nature.com/nature-portfolio/editorial-policies
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/5080
+  access-model: Free
+  domain: domain-agnostic
+  osai-recommendation: R4
+  osai-explanation: Publisher policies that promote best practices and information disclosure (R4) for AI/ML in publications.
+
+- id: ieeealgorithmicbias
+  name: IEEE Standard for Algorithmic Bias Considerations
+  type: Best practice
+  description: IEEE standard (P7003) providing a framework for identifying, measuring, and mitigating algorithmic bias in systems.
+  url: https://ieeexplore.ieee.org/document/8452919
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/4929
+  access-model: Commercial
+  domain: domain-agnostic
+  osai-recommendation: R4
+  osai-explanation: A standard focused on identifying and mitigating bias, supporting model information disclosure (R4).
+
+- id: ieeeptransparency
+  name: IEEE Draft Standard for Transparency of Autonomous Systems
+  type: Best practice
+  description: IEEE draft standard (P7001) concerning the transparency of autonomous systems, covering how to document and communicate system processes and decisions.
+  url: https://2020.standict.eu/standards-watch/ieee-p7001-transparency-autonomous-systems
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/4930
+  access-model: Commercial
+  domain: domain-agnostic
+  osai-recommendation: R4
+  osai-explanation: Standard for disclosing information about autonomous systems to ensure transparency (R4).
+
+- id: ieeeethicalconcerns
+  name: IEEE Standard Model Process for Addressing Ethical Concerns during System Design
+  type: Best practice
+  description: IEEE standard (P7000) providing a model process for integrating ethical considerations and values into the design of systems.
+  url: https://ieeexplore.ieee.org/document/9536679
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/4931
+  access-model: Commercial
+  domain: domain-agnostic
+  osai-recommendation: R4
+  osai-explanation: A standard process for integrating ethical best practices and transparency (R4) into system design.
+
+- id: emsldataportal
+  name: Environmental Molecular Sciences Laboratory (EMSL) User Data Portal
+  type: Registry
+  description: A data portal for finding and accessing data from the Environmental Molecular Sciences Laboratory, relevant for AI/ML applications.
+  url: https://search.emsl.pnnl.gov/
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/5033
+  access-model: Free
+  domain: life science
+  osai-recommendation: R2
+  osai-explanation: A registry for environmental science datasets usable for AI/ML (R2).
+
+- id: whitehouseostppolicy
+  name: White House Office of Science and Technology Policy (OSTP) Collection
+  type: Best practice
+  description: A collection of reports and documents from the White House OSTP, including those related to AI policy, strategy, and best practices.
+  url: https://www.whitehouse.gov/ostp/news-updates/reports-and-documents/
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/4259
+  access-model: Free
+  domain: domain-agnostic
+  osai-recommendation: R3
+  osai-explanation: Hosts policies and reports related to AI strategy and best practices (R3).
+
+- id: isoiec27001_2022
+  name: ISO/IEC 27001:2022 Information security, cybersecurity and privacy protection
+  type: Best practice
+  description: ISO standard for information security management systems (ISMS), relevant for securing AI systems and data.
+  url: https://www.iso.org/standard/27001
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/4539
+  access-model: Commercial
+  domain: domain-agnostic
+  osai-recommendation: R4
+  osai-explanation: Standard for data security, relevant for responsible AI data handling and disclosure (R4).
+
+- id: pnnldatahub
+  name: Pacific Northwest National Laboratory (PNNL) DataHub
+  type: Registry
+  description: A scientific data repository from PNNL for sharing and discovering research data.
+  url: https://data.pnnl.gov/
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/3692
+  access-model: Free
+  domain: domain-agnostic
+  osai-recommendation: R2
+  osai-explanation: A domain agnostic repository for scientific datasets usable for hosting life science AI/ML asstes such as datasets (R2).
+
+- id: bioimagemodelzoospec
+  name: BioImage Model Zoo specification
+  type: Metadata
+  description: The metadata specification for contributing models to the BioImage Model Zoo.
+  url: https://github.com/bioimage-io/spec-bioimage-io
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/5644
+  access-model: Free
+  domain: life science
+  osai-recommendation: R1, R4
+  osai-explanation: A metadata standard (R1) for bioimaging models, ensuring information disclosure (R4).
+
+- id: guidingquestionsaihealthcare
+  name: Guiding Questions for Artificial Intelligence / Machine learning in Healthcare Research
+  type: Best practice
+  description: Guiding questions from the BMJ to assist researchers in healthcare AI/ML research.
+  url: https://www.bmj.com/content/368/bmj.l6927
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/6211
+  access-model: Free
+  domain: life science
+  osai-recommendation: R3, R4
+  osai-explanation: Guidelines for best practices and reporting (R4) in healthcare AI research.
+
+- id: mininformmedicalaireporting
+  name: MINimum Information for Medical AI Reporting (MINIM-AI)
+  type: Best practice
+  description: A minimum information standard for the reporting of medical AI studies.
+  url: https://academic.oup.com/jamia/article/27/12/2011/5864179
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/6219
+  access-model: Free
+  domain: life science
+  osai-recommendation: R4
+  osai-explanation: A reporting guideline for disclosing information about medical AI studies (R4).
+
+- id: clinicalairesearchchecklist
+  name: Clinical AI Research (CAIR) checklist
+  type: Best practice
+  description: A checklist for authors, reviewers, and readers of clinical AI research.
+  url: https://actaorthop.org/actao/article/view/876
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/6212
+  access-model: Free
+  domain: life science
+  osai-recommendation: R4
+  osai-explanation: A checklist to guide information disclosure for clinical AI research (R4).
+
+- id: selfassessmentmedicalaichecklist
+  name: Checklist for the (self)-assessment of medical AI studies
+  type: Best practice
+  description: A checklist for the self-assessment of medical AI studies to ensure quality and transparency.
+  url: https://www.sciencedirect.com/science/article/pii/S1386505621001362?via%3Dihub
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/6216
+  access-model: Free
+  domain: life science
+  osai-recommendation: ''
+  osai-explanation: ''
+
+- id: guidelinesreportingmlbiomed
+  name: Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research
+  type: Best practice
+  description: Guidelines from JMIR for the development and reporting of ML predictive models in biomedical research.
+  url: https://www.jmir.org/2016/12/e323/#app1
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/6218
+  access-model: Free
+  domain: life science
+  osai-recommendation: R4
+  osai-explanation: Reporting guideline for disclosing information on ML models in biomedical research (R4).
+
+- id: isoiec22989_2022
+  name: ISO/IEC 22989:2022 - Artificial Intelligence Concepts and Terminology
+  type: Metadata
+  description: ISO standard that defines concepts and terminology related to Artificial Intelligence.
+  url: https://www.iso.org/standard/74296.html
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/6536
+  access-model: Commercial
+  domain: domain-agnostic
+  osai-recommendation: R1
+  osai-explanation: ISO standard for AI-specific metadata and terminology (R1).
+
+- id: isowd24051_2
+  name: ISO/WD 24051-2 - Digital pathology and artificial intelligence (AI)-based image analysis
+  type: Best practice
+  description: ISO working draft standard related to digital pathology and AI-based image analysis.
+  url: https://www.iso.org/standard/87674.html
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/6537
+  access-model: Commercial
+  domain: life science
+  osai-recommendation: R1, R4
+  osai-explanation: ISO standard for AI in digital pathology, supporting standardized metadata (R1) and reporting (R4).
+
+- id: genaidelegationtaxonomy
+  name: Generative AI Delegation Taxonomy
+  type: Metadata
+  description: A taxonomy for classifying tasks delegated to Generative AI.
+  url: https://doi.org/10.1080/08989621.2025.2544331
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/7002
+  access-model: Free
+  domain: domain-agnostic
+  osai-recommendation: R1
+  osai-explanation: A taxonomy for standardizing concepts related to Generative AI tasks (R1).
+
+- id: checklistaimedphys
+  name: Checklist for AI in Medical Physics
+  type: Best practice
+  description: A checklist for reporting and assessing AI studies in medical physics.
+  url: https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.15170
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/7206
+  access-model: Free
+  domain: life science
+  osai-recommendation: R4
+  osai-explanation: Reporting guideline for disclosing information for AI in medical physics (R4).
+
+- id: clearchecklist
+  name: CheckList for EvaluAtion of Radiomics research (CLEAR)
+  type: Best practice
+  description: A checklist for the evaluation of radiomics research, often involving AI/ML.
+  url: https://insightsimaging.springeropen.com/articles/10.1186/s13244-023-01415-8
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/7207
+  access-model: Free
+  domain: life science
+  osai-recommendation: R4, R6
+  osai-explanation: Checklist for standardizing evaluation (R6) and reporting (R4) of radiomics research.
+
+- id: ethicschecklistdigitalhealth
+  name: Ethics Checklist for Digital Health Research in Psychiatry
+  type: Best practice
+  description: An ethics checklist for digital health research, including AI/ML, in psychiatry.
+  url: https://www.jmir.org/2022/2/e31146/
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/7211
+  access-model: Free
+  domain: life science
+  osai-recommendation: R4
+  osai-explanation: A checklist for ethical best practices and transparent reporting (R4) in digital mental health.
+
+- id: raidiologychecklist
+  name: R-AI-DIOLOGY checklist
+  type: Best practice
+  description: A reporting checklist for AI studies in radiology.
+  url: https://link.springer.com/article/10.1007/s00234-021-02890-w
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/7212
+  access-model: Free
+  domain: life science
+  osai-recommendation: R4
+  osai-explanation: A reporting guideline for disclosing information for AI studies in radiology (R4).
+
+- id: requirementsmultimodalaieval
+  name: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation
+  type: Best practice
+  description: A paper proposing requirements for the evaluation of multimodal AI in cardiovascular imaging.
+  url: https://www.sciencedirect.com/science/article/abs/pii/S1936878X25004668
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/7205
+  access-model: Commercial
+  domain: life science
+  osai-recommendation: R4, R6
+  osai-explanation: Proposed requirements for standardizing evaluation (R6) and reporting (R4) of multimodal AI in cardiovascular imaging.
+
+- id: fdagmlp
+  name: Good Machine Learning Practice (GMLP) for Medical Device Development
+  type: Best practice
+  description: Guiding principles from the FDA and other regulators for Good Machine Learning Practice (GMLP) in medical device development.
+  url: https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principles
+  biotools-url: ''
+  fairsharing-url: https://fairsharing.org/7204
+  access-model: Free
+  domain: life science
+  osai-recommendation: R3, R4
+  osai-explanation: Regulatory guiding principles for AI/ML best practices (R3) and documentation (R4) in medical devices.