Fairtracks assembly

_data/CONTRIBUTORS.yaml

@@ -575,7 +575,12 @@ Styliani-Christina Fragkouli:
     git: sfragkoul
     orcid: 0000-0003-4067-7123
     email: [email protected]
-    affiliation: Institute of Applied Biosciences(INAB|CERTH) / University of Athens / ELIXIR-GR  
+    affiliation: Institute of Applied Biosciences(INAB|CERTH) / University of Athens / ELIXIR-GR
+Sveinung Gundersen:
+    git: sveinugu
+    orcid: 0000-0001-9888-7954
+    email: [email protected]
+    affiliation: ELIXIR Norway  
 Diana Pilvar:
     git: diana-pilvar
     email: [email protected]
@@ -596,4 +601,4 @@ Pavankumar Videm:
     git: pavanvidem
     email: [email protected]
     orcid: 0000-0002-5192-126X
-    affiliation: University of Freiburg / European Galaxy team
+    affiliation: University of Freiburg / European Galaxy team

_data/affiliations.yaml

@@ -166,3 +166,9 @@
   expose: yes
   type: infrastructure
   url: https://www.bbmri.nl/
+- name: EMBL-EBI
+  image_url: /images/institutions/Ebi_official_logo.png
+  pid: https://ror.org/02catss52
+  expose: yes
+  type: project
+  url: https://www.ebi.ac.uk/

_data/news.yml

@@ -154,3 +154,7 @@
   date: 2023-12-19
   linked_pr: 1429
   description: The content of the "tool assembly" page for CSC (Finnish IT Center for Science) was updated. [Discover the page here](csc_assembly).
+- name: "New page: FAIRtracks tool assembly"
+  date: 2023-12-20
+  linked_pr: 1419
+  description: A new "tool assembly" page for FAIRtracks was added. [Discover the page here](fairtracks_assembly).

_data/sidebars/data_management.yml

@@ -112,6 +112,8 @@ subitems:
         url: /covid19_data_portal
       - title: CSC
         url: /csc_assembly
+      - title: FAIRtracks
+        url: /fairtracks_assembly
       - title: Galaxy
         url: /galaxy_assembly
       - title: IFB

_data/tool_and_resource_list.yml

@@ -2297,6 +2297,38 @@
   registry:
     biotools: dataplan
   url: https://plan.nfdi4plants.org
+- id: omnipy
+  name: Omnipy
+  url: https://github.com/fairtracks/omnipy
+  description:
+    Omnipy is a high level Python library for type-driven data wrangling and scalable workflow orchestration.
+  registry:
+    biotools: omnipy
+    tess: omnipy
+- id: trackfind
+  name: TrackFind
+  url: https://trackfind.elixir.no/
+  description:
+    TrackFind is a search and curation engine for metadata of geneomic tracks. It supports crawling of the TrackHub Registry and other portals.
+  registry:
+    biotools: trackfind
+- id: pydantic
+  name: Pydantic
+  url: https://docs.pydantic.dev/latest/
+  description:
+    Pydantic is the most widely used data validation library for Python.
+- id: prefect
+  name: Prefect
+  url: https://www.prefect.io/
+  description:
+    Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines.
+- id: track-hub-registry
+  name: Track Hub Registry
+  url: https://www.trackhubregistry.org/
+  description:
+    A global centralised collection of publicly accessible track hubs
+  registry:
+    fairsharing: a1de61
 - description: Fast, sensitive and accurate integration of single-cell data.
   id: harmony
   name: Harmony

pages/national_resources/no_resources.md

@@ -6,7 +6,7 @@ contributors: [Nazeefa Fatima,Federico Bianchini,Korbinian Bösl,Erin Calhoun]
 coordinators: [Korbinian Bösl, Nazeefa Fatima]
 
 related_pages:
-  tool_assembly: [tsd, nels, marine_assembly]
+  tool_assembly: [tsd, nels, marine_assembly, fairtracks]
 
 training:
   - name: Training in TeSS
@@ -84,7 +84,7 @@ national_resources:
     how_to_access: A formal application is required to gain access to the storage services.
     related_pages:
       your_tasks: [transfer, storage]
-      tool_assembly: [nels]
+      tool_assembly: [nels, fairtracks]
     url: https://documentation.sigma2.no/files_storage/nird.html
   - name: Sigma2 HPC systems
     description: The current Norwegian academic HPC infrastructure consists of three systems for different purposes. The Norwegian academic high-performance computing and storage infrastructure is maintained by [Sigma2 NRIS](https://sigma2.no/nris), which is a joint collaboration between UiO, UiB, NTNU, UiT, and [UNINETT Sigma2 (SIKT)](https://www.sigma2.no/).

pages/tool_assembly/fairtracks_assembly.md

@@ -0,0 +1,115 @@
+---
+title: FAIRtracks
+contributors: [Federico Bianchini, Sveinung Gundersen]
+description: The FAIRtracks ecosystem provides technical solutions for the FAIRification of genome browser track files
+page_id: fairtracks
+affiliations: ["NO", "ES", "EMBL-EBI"]
+related_pages: 
+  your_tasks: [data_publication, data_transfer, metadata]
+  your_domain: [plants, rare_disease, single_cell_sequencing, human_data]
+training:
+  - name: Training in TeSS
+    registry: TeSS
+    url: https://tess.elixir-europe.org/search?q=fairtracks
+---
+
+## What is the FAIRtracks tool assembly?
+
+The [FAIRtracks ecosystem](https://fairtracks.net/) is a set of services associated with a minimal
+[metadata model](https://fairtracks.net/standards/#standards-01-fairtracks) for
+[genomic annotations/tracks](https://fairtracks.net/tracks/#tracks-01-genomic-tracks),
+implemented as a [set of JSON Schemas](https://github.com/fairtracks/fairtracks_standard/tree/master/json/schema).
+The FAIRtracks model contains metadata fields particularly useful for data discovery,
+harmonised through strict adherence to a selection of ontologies available through the {%tool "ontology-lookup-service" %}.
+The usability of the model can be expanded through referencing the original records via Compact Uniform Resource Identifiers (CURIEs) 
+resolvable by {% tool "identifiers-org" %}.
+
+In the context of the Data Life Cycle and its stages, the FAIRtracks ecosystem covers [Collecting](collecting), [Processing](processing),
+[Analysing](analysing), [Sharing](sharing), and [Reusing](reusing). It has to be noted, however, that the FAIRtracks ecosystem is structured
+around a secondary data life cycle, as illustrated in Figure 1. As part of this secondary life cycle, the annotation/track data gets further distributed
+and its discovery is enhanced through derived metadata. The FAIRtracks ecosystem aims at harmonising this process.
+Primary data needs to be handled independently following domain best practices
+(see e.g. the pages on [Single cell sequencing](single_cell_sequencing), [Plant sciences](plant_sciences), or [Rare disease data](rare_disease_data)).
+
+The FAIRtracks ecosystem is developed and provided as part of the national Service Delivery Plans by
+[ELIXIR Norway](https://elixir.no/) and [ELIXIR Spain](https://elixir-europe.org/about-us/who-we-are/nodes/spain),
+and is supported by the [Track Hub Registry group](https://trackhubregistry.org/) at [EMBL-EBI](https://www.ebi.ac.uk/).
+FAIRtracks is endorsed by [ELIXIR Europe](https://elixir-europe.org/) as a
+[Recommended Interoperability Resource](https://elixir-europe.org/platforms/interoperability/rirs).
+
+{% include image.html file="fairtracks_tool-assembly.png" caption="Figure 1. Illustration of the Data life cycle 
+for the FAIRtracks tool assembly. As genomic tracks/annotations represent condensed summaries of the raw data, 
+this ecosystem covers a secondary cycle designed around the FAIRtracks metadata model. 
+The grey box shows the areas of relevance for the FAIRtracks ecosystem with its integrations, 
+and only a subset of the icons represents FAIRtracks services per se. Omnipy (dark grey box) is a general Python library 
+for scalable and reproducible data wrangling which can be used across several data models and research disciplines."
+alt="FAIRtracks RDMkit" %}
+
+## Who can use the FAIRtracks tool assembly?
+
+There is no central authentication solution for the FAIRtracks services requiring login.
+The entire FAIRtracks ecosystem is available to everyone.
+Most of the services are accessible through Application Programming Interfaces (APIs). More details are provided in the description below.
+Users of the FAIRtracks ecosystem belong to different categories, which could be summarised as:
+
+- Researchers and data analysts
+- Data providers and biocurators
+- Developers working on tooling for
+  - Research
+  - Implementation of the FAIR data principles
+
+Each of these categories benefits specifically from a subset of the global ecosystem.
+The core services can be accessed both upstream (for data providers and biocurators) and downstream (for tool developers and analytical end users).
+
+## For what can you use the FAIRtracks tool assembly?
+
+The FAIRtracks tool assembly can be used for a large number of applications; we summarise the main ones below following the steps of the data life-cycle
+and focusing on particular tools. 
+
+While the assembly does not include a tool for [Data Management Planning](dmp),
+the FAIRtracks metadata standard is registered in {%tool "fairsharing" %}
+and, thus, formally connected to several other standards and databases.
+The FAIRtracks standard can, thus, be selected on your Data Management Plan in all the instances of {% tool "data-stewardship-wizard" %} through
+the integration with {%tool "fairsharing" %}. 
+
+{%tool "omnipy" %} is a high-level Python library for type-driven data wrangling and scalable data flow orchestration;
+it is a self-standing subset of the FAIRtracks ecosystem covering several steps in the data life-cicle.
+It can be used to extract metadata from specific portals and for [Processing](processing) of metadata entries to harmonise them into a unique model.
+{%tool "omnipy" %} data flows are defined as transformations from specific input data models to specific output data models.
+Input and output data are validated at each iteration through parsing based on {%tool "pydantic" %}.
+Offloading of  data flows to external compute resources is provided through the integration of {%tool "omnipy" %} with an orchestration engine based on {%tool "prefect" %}.
+
+There is ongoing work into adding {%tool "prefect" %} as one of the services available in the
+[National Infrastructure for Research Data (NIRD) service platform](https://www.sigma2.no/nird-service-platform).
+This would enable running {%tool "omnipy" %} on data and metadata stored in the [NIRD data storage](https://www.sigma2.no/data-storage).
+Refer also to the [Norwegian national page](no_resources) for more details. Note that, while the usage of NIRD storage and services
+is certainly convenient for Norwegian users, this is not a central or mandatory part of the tool assembly which is born as an international
+service and aims at maintaining this status.
+
+Data [Sharing](sharing) and preservation is one of the key components of the FAIRtracks ecosystem.
+Since genomic annotations/tracks typically consist of secondary data files referring to primary data sources,
+they are often deposited together with the primary data. The aim of the minimal metadata model is to
+offer a greater level of granularity, providing each track with an identifier and enabling the possibility of analysis across datasets
+in an automatised fashion. A dedicated registry would typically be required to accomplish this. Given that such a registry does not yet exist,
+the current recommendation is to deposit FAIRtracks-compliant metadata files to {%tool "zenodo" %},
+as this platform supports both Digital Object Identifier (DOI) versioning and DOI reservation before publication.
+The identifiers on the metadata FAIRtracks object are then cross-linked with the actual data which is hosted
+e.g. in a [Track Hub](https://genome.ucsc.edu/goldenPath/help/hgTrackHubHelp.html) and registered in
+the {%tool "track-hub-registry" %}.
+
+Data and metadata organised in this fashion can be discovered for [Reusing](reusing) through {%tool "trackfind" %},
+a search and curation engine for genomic tracks.
+{%tool "trackfind" %} will import FAIRtracks-compliant metadata from e.g. {%tool "zenodo" %}. 
+This metadata can be accessed through hierarchical browsing or by search queries both through a web-based user interface and as a RESTful API.
+TrackFind supports advanced SQL-based queries that can be easily built into the user interface.
+
+Additional tools that comprise the core of the FAIRtracks ecosystem are the
+[metadata validation](https://fairtracks.net/services/?category=Core%20services&tags%5B0%5D=Metadata%20validation) and the
+[metadata augmentation](https://fairtracks.net/services/?category=Core%20services&tags%5B0%5D=Metadata%20augmentation) services.
+The former is REST API that extends the standard JSON Schema validation technology to
+e.g. validate ontology terms or check CURIEs against the registered entries.
+The [FAIRtracks augmentation service](https://fairtracks.net/services/?category=Core%20services&tags%5B0%5D=Metadata%20augmentation)
+is implemented as a REST API that expands on the information contained in a minimal FAIRtracks JSON by adding
+a set of fields with human-readable values including ontology labels, versions, and summaries.
+This service bridges the gap between data providers, which are required to submit only minimal information, and data consumers
+who require richer information for data discovery and retrieval.

pages/your_domain/human_data.md

@@ -5,7 +5,7 @@ contributors: [Niclas Jareborg, Nirupama Benis, Ana Portugal Melo, Pinar Alper,
 page_id: human_data
 related_pages:
   your_tasks: [sensitive, gdpr_compliance]
-  tool_assembly: [tsd, covid-19, transmed]
+  tool_assembly: [tsd, covid-19, transmed, fairtracks]
 training:
   - name: Training in TeSS
     registry: TeSS

pages/your_domain/plant_sciences.md

@@ -6,7 +6,7 @@ related_pages:
 page_id: plants
 related_pages: 
   your_tasks: [metadata]
-  tool_assembly: [plant_geno_assembly, plant_pheno_assembly]
+  tool_assembly: [plant_geno_assembly, plant_pheno_assembly, fairtracks]
 training:
   - name: Training in TeSS
     registry: TeSS

pages/your_domain/rare_disease_data.md

@@ -5,6 +5,7 @@ contributors: [Philip van Damme, Nirupama Benis, César Bernabé, Shuxin Zhang,
 page_id: rare_disease
 related_pages: 
   your_domain: [human_data]
+  tool_assembly: [fairtracks]
   your_tasks: [dmp, data_publication, machine_actionability]
 ---
 

pages/your_domain/single_cell_sequencing.md

@@ -4,7 +4,7 @@ description: "Managing data generated from single-cell sequencing experiments."
 contributors: [Johan Rollin, Pavankumar Videm, Mehmet Tekman]
 related_pages:
   your_tasks: [dmp, data_organisation, data_publication, metadata, storage]
-  tool_assembly: [galaxy]
+  tool_assembly: [galaxy, fairtracks]
 training:
   - name: Single-cell training on the Galaxy Training Network
     url: "https://usegalaxy.eu/training-material/topics/single-cell/"