Rhea - rhea

The grade for the resource as automatically determined by the criteria violations.
A full description of the resource from the resource itself, if possible.
Rhea is an expert curated resource of biochemical reactions designed for the annotation of enzymes and genome-scale metabolic networks and models. Rhea uses the ChEBI (Chemical Entities of Biological Interest) ontology of small molecules to precisely describe reactions participants and their chemical structures. All reactions are balanced for mass and charge and are linked to source literature, metabolic resources and other functional vocabularies such as the enzyme classification of the NC-IUBMB.
Last curated
(Optional) The ISO 8601 date of when the resource was last curated.
URL for the resource.
Source type
(Optional) How the resource relates to the data it contains. Current allowable entries are: "unknown", "repository", "source", "integrator", and "warehouse".
Curation status
Whether or not annotation is complete on this resource. Current allowable entries are: "complete", "incomplete", and "nonpublic".
The area of research for the resource.
The type of data the resource contains.
(Optional) Tags to describe the resource and its data.
metabolic networks
(Optional) Links to the resource's data.
The license that is used by the resource. We use SPDX where we can or: "inconsistent", "public domain", "unlicensed", "all rights reserved", or "custom".
License type
The type of license that is being used. This will be to define compatible data pools in the future; we only use the grossest terms now. If it is not known "unknown" is used. Current possible values are: "unknown", "unlicensed", "copyleft", "permissive", "public domain", "copyright", "restrictive", or "private pool".
License location
(Optional) The link to the resource license.
Focused curation
(Optional) Setting this flag to true indicates that the licensing was combinatorially complicated enough (as is the case in some commercial licenses) that the curator chose to wear a single "hat" during the process. From the site text: "While we try to cover as much of the licensing possibilities of a data resource that we can, in a few cases we may choose a particular "hat" to wear while evaluating to prevent a combinatorial explosion, which may also reduce the clarity of our curations for the community. In these cases, we may take on the role of a (1) non-commercial (2) academic (3) group that is (4) based in the US and trying to (5) create an aggregating resource, noting that other entities may have different results in the license commentary."
(Optional) Structured issues with the license. For every issue discovered with a resource, there should be a corresponding item in the license-issues field that marks the /exact/ violation, along with any comments. This field can be used by resources as the first step to improvement, as well as clarify any surrounding circumstances. Any issues or thoughts about a resource that do not slot into one of the criteria violations can go into the license-commentary field.
(Optional) Further commentary on the license, possibly including the though process of the curations and things like locations of additional licenses.
(Optional) Marker noting that there was some extended internal discussion or controversy about the evaluation of the licensing terms. If this is marked at "true", the controversy, or a link to a permanent archive of the controversy, must be sufficiently contained in the "license-commentary" to reconstruct the issues.
(Optional) Resource contact information, link, email, or whatever is public.
(Optional) Semi-structured list of supporting grants.
Rhea development and curation activities at the SIB are supported by the Swiss Federal Government through the State Secretariat for Education, Research and Innovation (SERI), and by the SystemsX.ch, The Swiss Initiative in Systems Biology.
Rhea curation was partially supported by MICROME (an EU Framework Programme 7 Collaborative Project. Grant Agreement Number 222886-2).

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ReusableData.org is funded by the National Center for Advancing Translational Sciences (NCATS) OT3 TR002019 as part of the Biomedical Data Translator project.
The (Re)usable Data Project would like to acknowledge the assistance of many more people than can be listed here. Please visit the about page for the full list.