Datasets control data access and represents a dynamic data publication, with a version defined by last edition date. Datasets may contain Measurements, Individuals, Vouchers and/or Media Files.
Projects are just groups of Datasets and Users, representing coohorts of users with common accessibility to datasets whose privacy are set to be controlled by a Project.
BioCollections - This model serves to create a reusable list of acronyms of Biological Collections to record Vouchers. However, you can optionally manage a collection of Vouchers and their Individuals, in parallel to the access control provided by Datasets. Control is only for editing and entering Voucher records. In this case, the BioCollection is managed by the system.
Projects and BioCollections must have at least one User defined as administrator, who has total control over the dataset or project, including granting the following roles to other users: administrator, collaborator or viewer:
- Collaborators are able to insert and edit objects, but are not able to delete records nor change the dataset or project configuration.
- Viewers have read-only access to the data that are not of open access.
- Only Full Users and SuperAdmins may be assigned as administrators or collaborators. Thus, if a user who was administrator or collaborator of a dataset is demoted to “Registered User”, she or he will become a viewer.
- Only Super-admins can enable a BioCollection to be administered by the system.
Biocollections
The Biocollection model has two functions: (1) to provide a list of acronyms for registering Vouchers of any Biological Collection; (2) to manage the data of Biological Collections, facilitating the registration of new data (any user enters their data using the validations carried out by the software and requests the collection’s curators through the interface to register the data, which is done by authorized users for the BioCollection. Upon data registration, the BioCollection controls the editing of the data of the Vouchers and the related Individuals. Option (2) needs to be implemented by a Super-Administrator user, who can enable a BioCollection to be administered by the system, implementing the ODBRequest request model so that users can request data, samples, or records and changes to the data.
The Biocollection object may be a formal Biocollection, such as those registered in the Index Herbariorum (http://sweetgum.nybg.org/science/ih/), or any other Biological Collection, formal or informal.
The Biocollection object also interacts with the Person model. When a Person is linked to an Biocollection it will be listed as a taxonomic specialist.
Data access - Full users can register BioCollections, but only super administrator can make a BioCollection manageable by the system. Removing BioCollections can be done if there are no Vouchers attached and if it is not administered by the system. If manageable, the model interacts with Users, which can be administrators (curators, anything can) or collaborators (can enter and edit data, but cannot delete records). Data from other Datasets can be part of the BioCollection, allowing users to have their complete data, but editing control of records is by the BioCollection authorized users.
Datasets
DataSets are groups of Measurements, Individuals, Vouchers and/or Media Files, and may have one or more Users administrators, collaborators or viewers. Administrators may set the privacy level to public access, restricted to registered users or restricted to authorized users or restricted to project users. This control access to the data within a dataset as exemplified in diagram below:
Datasets may also have many Bibliographic References, which together with fields policy, metadata permits to annotate the dataset with relevant information for data sharing:
* Link any publication that have used the dataset and optionally indicate that they are of mandatory citation when using the data;
* Define a specific data policy when using the data in addition to the a CreativeCommons.org public license;
* Detail any relevant metadata in addition to those that are automatically retrieved from the database like the definitions of the Traits measured.
Projects
Projects are just groups of Datasets and interacts with Users, having administrators, collaborators or viewers. These users may control all datasets within the Project having a restricted to project users access policy.
Users
The Users table stores information about the database users and administrators. Each User may be associated with a default Person. When this user enters new data, this person is used as the default person in forms. The person can only be associated to a single user.
There are three possible access levels for a user:
* Registered User (the lowest level) - have very few permissions
* Full User - may be assigned as administrators or collaborators to Projects and Datasets;
* SuperAdmin (the highest level). - superadmins have have access to all objects, regardless of project or dataset configuration and is the system administrator.
Each user is assigned to the registered user level when she or he registers in an OpenDataBio system. After that, a SuperAdmin may promote her/him to Full User or SuperAdmin. SuperAdmins also have the ability to edit other users and remove them from the database.
Every registered user is created along with a restricted Project and Dataset, which are referred to as her user Workspace. This allows users to import individual and voucher data before incorporating them into a larger project. [TO IMPLEMENT: export batches of objects from one project to another].
Data Access:users are created upon registration. Only administrators can update and delete user records.
User Jobs
The UserJob table is used to store temporarily background tasks, such as importing and exporting data. Any user is allowed to create a job; cancel their own jobs; list jobs that have not been deleted. The Job table contains the data used by the Laravel framework to interact with the Queue. The data from this table is deleted when the job runs successfully. The UserJob entity is used to keep this information, along with allowing for job logs, retrying failed jobs and canceling jobs that have not yet finished.
Data Access: Each registered user can see, edit and remove their own UserJobs.