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Merge pull request #350 from combine-org/harmony-fixes
Add related standardization efforts.
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content/authors/CNO/_index.md

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---
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# Display name
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title: CNO
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# Username (this should match the folder name)
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authors:
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- CNO
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# Is this the primary user of the site?
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superuser: false
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# Organizational groups that you belong to (for People widget)
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# Set this to `[]` or comment out if you are not using People widget.
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user_groups:
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- Related Standardization Efforts
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interests:
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- The <a rel="nofollow" class="external text" href="https://github.com/INCF/Computational-Neurosciences-Ontology--C.N.O.-">Computational Neurosciences Ontology</a> aims to be a domain specific ontology, describing Computational Neurosciences models. CNO was created to add semantic information to NineML, a simulator independent language developed by the [INCF Multi-Scale modeling Program](http://software.incf.org/software/nineml). NineML aims to provide an unambiguous description of neuronal network models for efficient model sharing and reusability.
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content/authors/CNO/avatar.png

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# Display name
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title: FAIRsharing.org
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# Username (this should match the folder name)
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authors:
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- FAIRsharing
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# Is this the primary user of the site?
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superuser: false
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# Organizational groups that you belong to (for People widget)
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# Set this to `[]` or comment out if you are not using People widget.
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user_groups:
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- Related Standardization Efforts
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interests:
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- More information about standards used to share data in life sciences can be found at [FAIRsharing](https://fairsharing.org/). The FAIRsharing team manually curates data and metadata standards, databases and data policies across all scientific research areas. FAIRsharing provides links among these standards and databases as well as to journal and funder data policies that recommend or endorse their use. For example, FAIRsharing contains a collection of the COMBINE standards as well as many [Systems Biology resources](https://fairsharing.org/search/?q=systems%20biology&selected_facets=expanded_onto_disciplines_exact%3ASystems%20Biology).
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content/authors/FROG/_index.md

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# Display name
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title: FROG
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# Username (this should match the folder name)
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authors:
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- FROG
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# Is this the primary user of the site?
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superuser: false
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# Organizational groups that you belong to (for People widget)
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# Set this to `[]` or comment out if you are not using People widget.
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user_groups:
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- Related Standardization Efforts
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interests:
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- The [FROG](https://www.ebi.ac.uk/biomodels/curation/fbc) standard is designed to faithfully reproduce the analysis results of a flux balance model. Flux values are commonly reported as results in manuscripts with flux balance analysis of constraint-based models. These values cannot be used to test the reproducibility as often multiple solutions exist for the same. Hence, numerically reproducible results of the analysis are required to verify the reproducibility of the models. Following the discussion in the HARMONY2020 and COMBINE2020 meetings, we recognized the several outputs/results of the FBA analysis that are numerically reproducible and can be used for curation.
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content/authors/FROG/avatar.png

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content/authors/FSKX/_index.md

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# Display name
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title: FSKX
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# Username (this should match the folder name)
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authors:
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- FSKX
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# Is this the primary user of the site?
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superuser: false
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# Organizational groups that you belong to (for People widget)
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# Set this to `[]` or comment out if you are not using People widget.
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user_groups:
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- Related Standardization Efforts
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interests:
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- The [FAIR Scientific Knowledge eXchange (FSKX)](https://foodrisklabs.bfr.bund.de/fskx-food-safety-knowledge-exchange-format/) Format is an open, standardized file format designed to facilitate the efficient sharing of scientific models and datasets in a Findable, Accessible, Interoperable, and Reusable (FAIR) manner. Originally developed as the Food Safety Knowledge Exchange (FSKX) Format within the Risk Assessment Knowledge Integration Platform (RAKIP) Initiative, FSKX has evolved into a general-purpose format for exchanging models across multiple scientific domains, including Life Sciences, Food Safety, One Health, and Artificial Intelligence (AI).
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content/authors/FieldML/_index.md

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# Organizations/Affiliations
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organizations:
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- name: University of Colorado Boulder
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- name: University of Auckland
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url: ""
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#Order to show in compared to other authors when using people section
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#Use 1 for PI, 100 for Current Postdocs, 200 for current phds, 300 for current masters, 400 for current undergrads, 800 for alum postdocs, 810 for alum phds, 820 for alum masters, and 830 for alum undergrads, 900 for tools, 1000 for projects, 900 for tools, 1000 for projects
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weight: 1
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#Utah or CU
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university: CU
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#university: CU
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# Short bio (displayed in user profile at end of posts)
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# bio: My research interests include distributed robotics, mobile computing and programmable matter.
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interests:
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- <a rel="nofollow" class="external text" href="http://www.fieldml.org/">FieldML</a>'s (Field Modelling/Markup Language) goal is to be a declarative language for building hierarchical models represented by generalized mathematical fields. Its primary use will be to represent the dynamic geometry and solution fields from computational models of cells, tissues and organs.
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projects:
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- <a href="https://synbioks.github.io/">SBKS</a>
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- <a href="/author/sbol-canvas/">SBOLCanvas</a>
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#projects:
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#- <a href="https://synbioks.github.io/">SBKS</a>
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#- <a href="/author/sbol-canvas/">SBOLCanvas</a>
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department:
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- Electrical, Computer, and Energy Engineering
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#department:
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#- Electrical, Computer, and Energy Engineering
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education:
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courses:
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- course: PhD in Electrical Engineering
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institution: Stanford University
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year: 1995
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- course: MS in Electrical Engineering
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institution: Stanford University
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year: 1993
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- course: BS in Electrical Engineering / History
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institution: California Institute of Technology
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year: 1991
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#education:
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# courses:
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# - course: PhD in Electrical Engineering
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# institution: Stanford University
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# year: 1995
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# - course: MS in Electrical Engineering
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# institution: Stanford University
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# year: 1993
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# - course: BS in Electrical Engineering / History
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# institution: California Institute of Technology
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# year: 1991
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# Social/Academic Networking
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# For available icons, see: https://sourcethemes.com/academic/docs/page-builder/#icons
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social:
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- icon: star
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icon_pack: fas
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link: http://www.biopax.org/
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- icon: envelope
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icon_pack: fas
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link: 'mailto:biopax-discuss@googlegroups.com'
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- icon: file
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icon_pack: fas
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link: http://www.biopax.org/release/biopax-level3-documentation.pdf
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- icon: quote-left
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icon_pack: fas
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link: http://identifiers.org/pubmed/20829833
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link: http://www.fieldml.org/
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#- icon: envelope
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# icon_pack: fas
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# link: 'mailto:biopax-discuss@googlegroups.com'
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#- icon: file
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# icon_pack: fas
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# link: http://www.biopax.org/release/biopax-level3-documentation.pdf
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#- icon: quote-left
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# icon_pack: fas
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# link: http://identifiers.org/pubmed/20829833
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- icon: github
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icon_pack: fab
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link: https://github.com/BioPAX
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link: https://github.com/FieldML
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# Link to a PDF of your resume/CV from the About widget.
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# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below.
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# - SynBioHub Plugins Tool
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---
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BioPAX is a standard language that aims to enable integration, exchange and analysis of biological pathway data. It is expressed in <a rel="nofollow" class="external text" href="http://www.w3.org/2004/OWL/">OWL</a>. The last specification is <a rel="nofollow" class="external text" href="http://www.biopax.org/release/biopax-level3-documentation.pdf">BioPAX Level 3</a>. BioPAX development is <a rel="nofollow" class="external text" href="http://www.biopax.org/mediawiki/index.php/BioPAX_Governance">coordinated</a> by an elected editorial board and a Scientific Advisory Board. BioPAX is supported by <a rel="nofollow" class="external text" href="http://biopax.sourceforge.net/mediawiki/index.php?title=Category:SOFTWARE">many pathway database or processing tools</a>. An API is available to help implementing support: <a rel="nofollow" class="external text" href="http://www.biopax.org/mediawiki/index.php/Paxtools">Paxtools</a>
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<a rel="nofollow" class="external text" href="http://www.fieldml.org/">FieldML</a>'s (Field Modelling/Markup Language) goal is to be a declarative language for building hierarchical models represented by generalized mathematical fields. Its primary use will be to represent the dynamic geometry and solution fields from computational models of cells, tissues and organs.

content/authors/HUPO-PSI/_index.md

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# Display name
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title: HUPO-PSI
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# Username (this should match the folder name)
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authors:
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- HUPO-PSI
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# Is this the primary user of the site?
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superuser: false
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# Organizational groups that you belong to (for People widget)
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# Set this to `[]` or comment out if you are not using People widget.
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user_groups:
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- Related Standardization Efforts
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interests:
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- The [Human Proteome Organization Proteomics Standards Initiative (HUPO-PSI)](https://www.psidev.info/about-the-hupo-proteomics-standards-initiative-psi) is a global collaborative effort aimed at creating and maintaining community-driven standards, data formats, and controlled vocabularies for proteomics and mass spectrometry-based research. Through its working groups and annual workshops, HUPO-PSI encourages collaboration and ensures thorough public review of proposals before their adoption as standards. By advocating for open data sharing, the initiative accelerates advancements in proteomics and related scientific fields.
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