Copy of 2023.11.21 ML lifecycle

	A	B	C	D	E	F	G	H
1	NodeID	FAIR Principles	Best Practices	Metadata schemas	Services	What do you need to do here	Resources affected by FAIR	Notes
2	1	FAIR Data						This is a test note
3	1	FAIR Software
4	1	FAIR AI Models					Requirements document
5	1	FAIR AI Models
6	2	FAIR Data	DOME (D part)		(Data Management) DMPs	Create a DMP Fill in information on the data in the DOME registry through the DOME Wizard.
7	2				(Data Management) DSW
8	2				(Data Management) RDMO
9	2				(Report data provenance and availability) DOME registry BioImage Archive, https://www.ebi.ac.uk/bioimage-archive/galleries/AI.html
10	2	FAIR Software					(Data) Training datasets
11	2	FAIR AI Models
12	3	FAIR Data
13	3	FAIR Software
14	3	FAIR AI Models	DOME (D part) DMP SMP	ML Commons Croissant (for data)	https://osf.io/preprints/biohackrxiv/k8znb/	Create the software Create the SMP Create a DMP of the AI-ready data	(Software) Data processing pipeline, (Data) Processed dataset	This includes feature selection / augmentation
15	3			https://github.com/mlcommons/croissant	https://github.com/mlcommons/croissant
16	3			https://bioschemas.org	BioImage Archive (AI-ready datasets)
17	3			maSMP (for software
18	4	FAIR Data
19	4	FAIR Software
20	4	FAIR AI Models	DOME (O part) ML cards		https://osf.io/preprints/biohackrxiv/k8znb/	Update/create the SMP
21	4				https://registry.dome-ml.org/intro
22	5	FAIR Data
23	5	FAIR Software
24	5	FAIR AI Models	DOME (M part) ML cards		https://registry.dome-ml.org/intro	Metadata management		This includes hyper-parameter tuning
25	6	FAIR Data
26	6	FAIR Software
27	6	FAIR AI Models	DOME (E part) ML cards		https://registry.dome-ml.org/intro	Metadata management	(Software) Model file, (Metadata) Model metadata, (Data) Hyper-parameter file / model weights, (Data) Evaluation report.	Probably only track all this for the winning models
28	6				https://bioimage.io/#/
29	7	FAIR Data
30	7	FAIR Software
31	7	FAIR AI Models	DOME (E part)		https://registry.dome-ml.org/intro		(Data)Validation set, (Data) Evaluation result (+provenance trace)
32	8	FAIR Data
33	8	FAIR Software
34	8	FAIR AI Models					(Software) Model wrapper (how the model is run from elsewhere)
35	9	FAIR Data			https://huggingface.co/docs/hub/repositories-licenses#licenses	Licensing
36	9	FAIR Software			https://huggingface.co/docs/hub/repositories-licenses#licenses	Licensing
37	9	FAIR AI Models		DECIDE AI CONSORT AI SPIRIT AI etc…	https://registry.dome-ml.org/intro	Choosing repositories, metadata management,	(Metadata) Model card / metadata vocab (Software) Model file	This includes the environment configuration and dependency information (YAML,TOML, JSON, ...)
38	9				https://github.com/huggingface
39	9				https://zenodo.org
40	9				https://www.openml.org
41	9				https://mlflow.org
42	9				https://bioimage.io/#/
43	10	FAIR Data			BioImage Archive
44	10	FAIR Software
45	10	FAIR AI Models			https://bioimage.io/#/		(Metadata) Model card / dependencies, (Software) Model file (in case of fine tuning / transfer learning)	this includes fine tuning / transfer learning
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