First released 14th Sept 2022

Summary

This release includes a number of changes that support the upcoming faceted search feature, some minor bug fixes and an enhancement to the DAR process

Released Features

First released 1st Sept 2022

Summary

This release includes changes in support of the upcoming Cohort Builder and Faceted Search features, a new 'settings' endpoint for datasets and a bug fix.

Released Features

Decouple Dataset Settings from Dataset in UI and API

FAIR-5401

These changes have been introduced to facilitate an improved UI for data stewards, which will be available in the near future.

Status attribute below dataset: has switched from a boolean to an object supporting both the previous boolean, now under the status attribute alongside the reasons array. Where supported is a false the reasons will provide messages as to why this status is unsupported.

Before

{
  "storage_enabled": true,
  "request_enabled": true,
  "query_enabled": true,
  "source_exists": true
}

After

{
  "storage_enabled": {
    "supported": true,
    "reasons": []
  },
  "request_enabled": {
    "supported": true,
    "reasons": []
  },
  "query_enabled": {
    "supported": true,
    "reasons": []
  },
  "source_exists": {
    "supported": true,
    "reasons": []
  }
}

New endpoint for fetching dataset status: /dataset/code/status.

New endpoint for fetching and changing dataset settings: /dataset/code/settings.

These were previously only available on the /dataset endpoint which is still supported, but no longer used by the FAIR UI

First released August 17, 2022

Summary:

This release includes internal improvements to support the upcoming search feature, changes to camunda integration, and an update to outbound syndication for HDRUK.

Released Features:

First released August 03, 2022

Summary

This release includes some minor compatibility updates for HDR UK syndication as well as some internal updates to support future developments in search and data access request management.

First released July 20, 2022

Summary

For customers hosting FAIR as part of their broader community or platform, we are happy to introduce custom actions. With this self-service configuration, customers can link datasets directly to other systems – such as a user forum or a reference site. The URL with a deep link to the other system can be dynamically constructed using information in the dataset catalogue.

We are pleased to release support for Azure Synapse as an external data source. This is a cloud-based parallel database version of Microsoft SQL Server which can now be used with the FAIR data delivery pipeline.

This release also includes some performance and security improvements and user interface bugfixes.

Released Features

Administrators can now add up to five custom actions which are available to data owners. They can specify the label, a tooltip and the URL template for the action. In addition, via service desk support, they can request a custom icon to be displayed. Custom actions open a new tab by default.

URL templates can use fields from the dataset catalogue. For example, a URL might require the dataset code (as a unique identifier for the dataset), but other keys could be used such as a DOI (the identifier field). In some cases, a field may require hierarchical key e.g. the name of the publisher is publisher.name. Some examples of URL templates:

https://www.example.com/path/to?dataset={code}
https://www.example.com/path/to/{code}
https://{code}.datasets.example.com
https://www.example.com/path/to/doi-aggregator/?doi={identifier}
https://www.example.com/path/to/?publisher={publisher.name} | FAIR-5031 | | Enhancement | Enforce template validation on catalogue save | Earlier this year, we introduced custom catalogue templates which enable a customer to extend the fields describing a dataset. As part of a phased introduction, we did not enforce compliance with the custom catalogue template at the time of saving catalogues. Going forward, when users create a new dataset catalogue entry or update an existing catalogue entry, its structure and contents will be checked against the default catalogue template set for that instance of FAIR. The user will not be able to save the catalogue if it does not match the required fields.

Note: Currently, only users of the API are able to submit entries with the full custom catalogue. Editing of full custom catalogue will be added to the user interface later in the year. | FAIR-4312 | | Enhancement | Change 'My datasets' filter in Dataset API to relate to sharing permissions not visiblity | Based on user feedback, we have improved the API support for dataset listing. The user interface will be updated in a later release. Previously, selecting the icon to ‘Show my datasets’ was too narrowly defined – it will now filter datasets based on sharing permissions. This should allow a user to see all the datasets they have elevated privileges to (e.g. to edit, or to view a private dataset). | FAIR-4631 | | Enhancement | Support Azure Synapse in data delivery pipeline | FAIR’s data delivery pipeline can now extract data from multiple sources including PostgreSQL, SQL Server and Azure Synapse. These sources are configured by the customer as external data sources per-dataset.

As part of implementing this feature we have also made some improvements to the data delivery pipeline with better handling of table names (dictionary codes) with upper and lower case characters as well as improving the error reports on failed transfers. | FAIR-4965 | | Enhancement | Privacy preserving web analytics rollout | Customers building their own platforms on the Aridhia DRE, including FAIR, want to understand usage patterns and how users navigate the DRE. In order to support this requirement, but mindful of user privacy, we have integrated a privacy-preserving web analytics component.

This feature is currently only enabled on implementations where the customer has requested it, is limited in scope to the DRE and customer’s own adjacent services, and requires users to consent to their browsing data being collected for this purpose. | FAIR-5081 | | Enhancement | Change service banner icon | This is a small user interface tweak to standardise icons and icon sizes for service banners. | FAIR-5115 | | BugFix | URL Resource Add button outside file bar click area | We fixed a user interface bug with adding URL resources – this minor update should make it easier for users to choose whether to add a file resource or add a URL resource. | FAIR-5146 | | BugFix | DAR Form Required Fields highlight covers new input | We fixed a user interface bug where overlapping components prevented completion of a data access request form when validation errors are found. | FAIR-5262 | | Enhancement | Supply Dataset Catalogue Definition to Camunda in DAR Payload | Data access requests can be customised using a business process model runtime engine. FAIR provides details for the request to the process which may interact with third party services from data providers, including federated data sources. With this change we have enriched the information provided to make it easier to align references for datasets which may appear in both FAIR and the federated data provider and more details of the dataset catalogue entry. | FAIR-5264 |

First released June 22, 2022

Summary

With this release, we introduce subscription notifications for datasets. Users can watch datasets they are interested in tracking for revisions. If they have approved data access requests they will be able to transfer updated versions of the datasets.

The release also includes a number of bug fixes related to data transfers and user on-boarding.

Upcoming Features

We're still working on the Cohort Builder which was released in "alpha" preview at the last release. Please send us feedback on that if you can.

Released Features

Updates may come in multiple forms – new or modified data may have been uploaded, or metadata edited. In some cases, data is not held directly in the FAIR system, but on another system but the data owner may still want to provide an update. At any point, the data owner can then notify users of a new revision with a headline title and a description. Users who have registered for updates will then receive an email with details of the update.

If the user has had an approved data access request that was already transferred to a workspace, they will be offered the option to make a new transfer, with the updated revision. Rejected data access requests or data access requests which have not yet been transferred will not be offered as an option. | FAIR-4793 | | Enhancement | API – Subscribing to Dataset Updates | We provide API support for users to register subscriptions. | FAIR-4799 | | BugFix | BUG – PMN Mask IP functions fails on DAR error | We fixed a bug with how some pseudonymisation functions were integrated with the data delivery pipeline. | FAIR-5130 | | BugFix | Data transfers fail intermittently with file delivery logic not in sequence | We fixed a bug in the way data deliveries were being executed. In some cases a transfer receipt might appear but no data. In other cases data might appear but no receipt. | FAIR-5131 | | BugFix | User creation fails on role assign audit | We fixed a bug with the onboarding sequence for users who registered for the DRE but did not use the FAIR data services in their first visit. Some users who had registered were presented with a message to say they were not registered, or with incomplete details of their registration. While they could be approved to access the services, the problem with their original registration meant that they might not receive notification emails. | FAIR-5215 |

First released June 08, 2022

Summary

A number of interesting enhancements with this release show our commitment to connectivity within the DRE but also integrations with the outside world. The receipt file for Data Access Requests improves the links within the DRE. URLs as resources improve connectivity with the scientific web. The ability to mark transfers as complete by API improves the integration of third party data deliveries.

We also include an enhanced audit feature based on customer feedback. Thanks!

Upcoming Features

We're still working on the Cohort Builder which was released in "alpha" preview at the last release. Please send us feedback on that if you can.

We expect to release a set of features to support dataset update notifications, subscriptions to updates and the ability to transfer updated data and metadata.

Released Features

With this release we are adding an experimental “receipt” that provides human readable information about the dataset at the time of transfer (catalogue highlights and dictionary information) as well as information on the data transfer itself. The receipt provides direct links and URLs back to the Dataset and Data Access Request. Having considered a PDF format, we opted for the Markdown file format as it provided the most integrated way of displaying the link. This works with the new Markdown rendering feature of Workspaces. | FAIR-4639 | | Enhancement | Add support for transfer history in data access requests | This enhancement is preparatory work for the upcoming feature around dataset update notifications and re-transferring. When that feature is enabled, the data access request view may show multiple dates for transfers indicating when data had been transfered after a notified update. | FAIR-4862 | | Enhancement | Mark Transfer as complete using a long life token as a data owner | Data Access Requests may be processed using custom business logic and integrations with third party systems. This enhancement supports customers who handle data transfers outside the DRE system. This might happen where data is delivered to a workspace from a third party system or manually by data stewards or even the user. In order to manage the correct life cycle state of the request in those cases, it is now possible to automate setting the transfer as “complete” using automation and the FAIR API. | FAIR-5010 |

First released May 25, 2022

Summary

We're pleased to share a preview of a major new feature, Cohort Builder that allows researchers to filter datasets based on the study's inclusion and exclusion criteria. They may also be visualise data and get estimates of record counts to help prepare for research. This is a limited "alpha" release, with some limitations. Please refer to the notes below. Our customer project teams will be following up to introduce the feature.

We are also adding a new API to support for syndication of metadata to HDR UK, the national institute for health data science. This will enable our customers to connect into the UK health research community.

Also included in the releases are some bug fixes and enhancements including audit.

Released Features

We have extended the FAIR API to facilitate syndication from the DRE to the Gateway. Standard FAIR metadata is presented in the format required for the Gateway, and customers can use existing role based access control and API keys to control access. This will provide the Gateway with the ability to pull metadata on a regular basis. | FAIR-4932 | | Enhancement | Cohort Builder – "alpha" preview release | Cohort Builder is a major new feature in FAIR that adds the ability to select and request subsets of data. This release introduces the preview “alpha” of the Cohort Builder. Customers can selectively test the functionality using role based access control and we will be gathering feedback while we work to develop the user experience.

Data owners remain in control of how data is accessed. In this version, they can set whether to allow the cohort builder module for their dataset. They can also set whether to allow visualisation tools and estimated record counts. We are interested in feedback on use cases and governance for this feature – should there be a researcher approval step before accessing aggregate summaries?

Researchers may filter dataset across multiple tables, run simple visualisations and get estimated record counts and entity counts. Filters are defined using a form of boolean logic – they are built up as multiple clauses in a query. Multiple ‘sub-cohorts’ can be defined, allowing comparison of different groups.

Estimated record counts support feasibility analysis. If the data owner has marked a field as representing an entity, then unique counts of entities are also provided as well as record counts. This allows the researcher to see the number of individual participants or patients, or the number of samples in a filtered dataset.

Researchers can visualise distributions of data. Categorical variables can be shown in a bar chart, continuous variables in a histogram. A box plot provides statistical properties of a variable, and can be split by categorical variables. Visualisations can be downloaded. We would like feedback on the access control and features around

A cohort definition can be saved for future use, and it can be used for a new data access request. We are working on having the selection delivered to a target workspace on approval. We are interested in feedback on how best to deliver sub-cohorts – as labels in the same table or as separate tables.

Please note there are some known limitations with the current release

• Cohort Builder visualisation and record counts depend on the existence of data and alignment between the data stored and the metadata (dictionaries).
• Data Access Requests can be initiation from a Cohort selection but the whole dataset will be transferred for now. If you want to test the selection delivery, please drop us a request at servicedesk@aridhia.com
• Sharing of cohorts is experimental – these should only be shared with data stewards. | FAIR-4924 | | Enhancement | Standardise naming of catalogue templates | We are rolling out a set of features to allow customers to define catalogues templates with domain-specific features that go beyond the core. This change tries to clarify the language used to describe these templates. The default catalogue template will now be known as the “standard” catalogue template in the system and documentation. (An older core template is now referred to as the “legacy”)

Customers can then extended the foundation provided by the standard catalogue to define their own template and apply that across all datasets. | FAIR-4922 | | BugFix | Bug: Improve handling of autocomplete when editing datasets | Password managers and browser autocomplete features are increasingly important and convenient for users. On some browsers, we have been able to fix an issue with the dataset editing form where browser autocomplete could cause an unwanted edit, replacing the dataset name when the author name was being edited. Due to some limitations in the underlying Chromium browser engine, this fix will not apply to Google Chrome or Microsoft Edge browsers. | FAIR-4701 | | Enhancement | History of dataset should include data access request events | Audit and activity logs provide data owners and other stakeholders with important information about the use of their metadata and data. This enhancement improves the way data access requests are linked to a dataset and presented in the dataset history. This allows a data owner to navigate directly to the detail of a request (and the requesting user) when it is logged. | FAIR-4634 | | Enhancement | Enable emails to be sent from data access request business processes | FAIR provides an extensible workflow engine for the business process used in handling data access requests. This enhancement improves the way emails are sent by the workflow engine. For example, in some of our integrations, this is important in case the user who requested the data needs to take a manual step. | FAIR-4062 | | BugFix | Better handling of session tokens when uploading resources or data | We fixed a bug where some users had difficulty uploading metadata, attachments or data because of session time outs. This might occur if there was a long period of inactivity but the browser window was left open, or if a data transfer was taking too long. If a session has expired before upload, or during the upload, the system will attempt to refresh the session and ensure upload can proceed. | FAIR-1513 |

Summary

This release contains a number of bug fixes.

This release was first made on May 11, 2022

Released Features

Summary

This release includes a number of bug fixes including some layout issues that users reported. It also includes the integration of our single sign on with the workflow component used for data access requests.

This release was first made on April 27, 2022

Released Features

Summary

As we develop data management features in FAIR we are introducing type-specific storage of uploaded data – this takes metadata from dataset dictionaries to specify the target storage types in the database.

This release also includes a number of bug fixes.

This release was first made on April 12, 2022

Released Features

Summary

Release 1.19.0 includes enhancements to inform users if a dataset is Metadata only or has data available. We also introduce service banners for product and customer announcements. An accessibility fix and a couple of boxes should also improve the user experience for everybody.

Released Features

Summary

Release 1.18.0 includes an administration enhancement to streamline user onboarding, along with some bug fixes.

Released Features

1.17.1 + 1.17.2

Summary

The patch releases 1.17.1 and 1.17.2 addressed some configuration issues with the workflow engine used to run data access request workflows.

1.17.0

Summary

Each community has its own domain-specific requirements for cataloguing and data discovery that goes beyond the core, generic DCAT schema. With this release we add the ability to define instance-specific dataset catalogue schemas. While retaining the core DCAT schema, customers can add a range of data types to collect. Note that a migration plan should be developed if there are existing datasets which may not be compatible with the new schema.

This release also includes some service improvements under the hood and a bug fix.

Released Features

1.16.0

Summary

In order to improve a user's initial experience of the DRE, we are rolling out a change to the registration process. Going forward FAIR will proactively register users who registered to access another DRE service, such as Workspaces. This makes it easier to set up collaborative data sharing or metadata management groups in FAIR.

Released Features

1.15.1

Summary

This is a maintenance release to fix an issue with the workflow engine for data access requests.

1.15.0

Summary

Based on user feedback, we've improved the tools for user administration. In addition we are rolling out the ability to mark fields as entities. This will be used downstream to enrich data exploration and to reinforce pseudonymisation when delivering data.

Released Features

1.14.2

Summary

This is a bug-fix release to improve the ability to run federated data access requests between separate instances of the Aridhia DRE.

1.14.1

Summary

This is a maintenance release to improve the notification mechanism for data access request workflows.

1.14.0

Summary

We're pleased to release a usability improvement with new tooling for administrators to authorise users and assign roles. This should make on-boarding users and managing communities easier and broaden access to administrative roles. The other notable enhancement is an API to help align metadata with data that has been uploaded. The release also includes a number of bug fixes.

Released Features

/dataset/:code/validate

/dictionaries/:code/validate

:code

1.13.0

Summary

The first release of 2022 is mainly a service maintenance update with some configuration and bug fixes behind the scenes.

1.12.0

Summary

We are releasing some changes to the role based access model in FAIR to improve and secure data management in larger consortia. We also introduce a couple of major enhancements including supportingn SQL Service and integration with Aridhia's updated Pseudonymisation Service.

Released Features

1.11.0

Summary

Currently in review – will be added soon

1.10.0

Summary

Thanks to users who’ve given us feedback on usability on the data access request flow. We’ve addressed a number of gaps in the flow. We’re also excited to deliver the start of a journey to support semantic grounding for FAIR data sets with the addition of URIs for field and lookup value concepts.

Released Features

1.8.0

Summary

With version 1.8.0 we integrate better with Workspace in the data access request workflow and introduce a small user interface improvement.

Released Features

1.7.0

Summary

Version 1.7.0 brings some API and back office enhancements to support custom integrations.

Released Features

1.5.0 + 1.6.0

Summary

Version 1.5.0 + 1.6.0 focus on dictionary typing. Please also check the swagger doc for API changes: https://fair.〈INSTANCE-NAME〉.aridhia.io/api/docs/

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.4.1 + 1.4.2

Summary

Version 1.4.1 + 1.4.2 focus on the Camunda WebApp.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.4.0

Summary

The 1.4.0 version is focused on lookup changes and constraints around those. Please also check the swagger doc for API changes at FAIR instance’s /api/docs/path.

Work was done to provide customizable catalogue definitions soon. Additionally further process was made to enable a better experience between FAIR and Workspaces in September.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.3.0

Summary

The 1.3.0 version is focused on sharing datasets (via UI + API improvements), some UI improvements and bug fixes. Beside that, background work was done to enable federated data storage (not metadata) in a database outside of FAIR in the future. We also changed the authentication mechanism to improve FAIR and Workspace interaction soon.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.2.5

Summary

The 1.2.5 version is focused around the oAuth Gateway. Essential work to enable further improvements around DARs and other features.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.2.4

Summary

The 1.2.4 version enables upload to distinguish data files and attachments and therefor enables more configuration. Additionally the audit show now errors when a data transfer did not work.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.2.3

Summary

The 1.2.3 version improves API usability, enables smoother deployment and small UX improvements.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.2.2

Summary

The 1.2.2 version enables a visibility of a dataset after search and introduces API changes around dataset and catalogue, please use {code} instead of {id} for those.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.2.1

Summary

The 1.2.1 version enables a log retention time just for the FAIR Audit , the Camunda token handling was improved including security improvements and bug fixes.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.2.0

Summary

The 1.2.0 version includes an extension for permissions on token roles and various UI and UX improvements.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.1.9

Summary

The 1.1.9 version includes an improved Search and bug fixes related to UI, messaging and data access request, dataset creation and data delivery.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.1.8

Summary

The 1.1.8 version includes Long Life Tokens, an improved Search and bug fixes related to Guest UI, dataset creation and data delivery.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.1.7

Summary

The 1.1.7 version includes small UX improvements and bug fixes related to uploading and the FAIR API.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.1.6

Summary

The 1.1.6 version allows users to upload their data as an attachment to a data dictionary. We are also working on the ability to transfer data into Aridhia workspaces upon approval. More information about these features can be found in our knowledgebase.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.1.5

Summary

The 1.1.5 version of FAIR Data Services focuses on improving our Swagger documentation. We have also been working on our Upload UI and Public metadata functions which are due to be released soon.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.1.4

Summary

The 1.1.4 version of FAIR Data Services primarily focuses on adding the capabilities to add custom Data Access Request (DAR) forms and allow Administrators to view audit and registered user lists. Specifically, this release includes:

• Custom DAR forms and assigned to DAR workflows (via API)
• Adding a ‘Audit’ panel to allow service Administrators (or those with the appropriate permissions) to view user audit.
• Allowing service Administrators (or those with the appropriate permissions) to view user a list of service users and minimal information about these users.
• Improvements to Omnisearch
• A FAIR API script to download all existing DAR requests.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.1.3

Summary

The 1.1.3 version of FAIR Data Services primarily focuses on internal improvements to support upcoming features such as data delivery between FAIR Data Services and Workspaces as well as a bug fixing regarding searching the Aridhia Knowledge Base. Specifically, this release includes:

• Introducing API routes for data transfers
• A fix allowing the Knowledge Base to be searched within the service.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.1.2

Summary

The 1.1.2 version of FAIR Data Services primarily focuses on adding user approval/disapproval functionality via the API as well as improved metadata and data upload validation and various bug fixes. Specifically, this release includes:

• Addition of user approval and disapproval capabilities via the API.
• Improved metadata and data upload validation.
• A bug fix to redirect the user to a logout page upon logout.
• A bug fix to ensure the metadata attachment table does not overlap other components.
• A bug fix to ensure the search index is updated when a dataset’s visibility is updated via the UI.
• A bug fix to ensure ‘https://’ is copied when the API endpoint is copied from the UI.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.1.1

Summary

The 1.1.1 version of FAIR Data Services primarily focuses on adding email notifications for Data Access Requests as well improvements of displaying validation error messages and a migration of data dictionary ‘ids' to ‘codes’ – now becoming inline with other service components. Specifically, this release includes:

• Email notifications for Data Access Requests.
• Addition of ‘code’s to dictionaries.
• Inline validation error messages throughout the service
• The ability to customise the platform name specified on the home page (Default: Aridhia DRE)
• A bug fix to display the name of the dataset in the toast message when updated.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

1.1.0

Summary

The 1.1.0 version of FAIR Data Services primarily focuses on adding new role administration user interface functionality as well as obtainable audit for role administration and Data Access Requests. Specifically, this release includes:

• User interface administration of Roles.
• Audited events for role administration, Data Access Requests and data upload.
• An audit read API endpoint where audit data can be retrieved for users with appropriate permissions.
• Various bug fixes regarding session expiry, API documentation and code validation.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This release brings you the following features:

1.0.9

Summary

The 1.0.9 version of FAIR Data Services primarily focuses on adding new user interface functionality and an API improvement to ensure JSON consistency between /dataset API calls. Specifically, this release includes:

• User interface administration of themes and the Configuration Vocabulary.
• The addition of descriptions to data dictionaries.
• The ability to delete Data Access Requests (DAR) – for DAR-enabled customers
• Enhancements to the DAR request view when the panel is narrowed.
• Alignment of the /dataset GET, POST and PATCH JSON.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This release brings you the following features:

1.0.8

Summary

The 1.0.8 version of FAIR Data Services primarily focuses on improved dictionary validation, click to edit experience and various bug fixes. Specifically, this release includes:

• An enhancement to ensure that dictionary and field names are SQL compliant. This is required to ensure data can be uploaded successfully to the dataset entry.
• A bug fix to ensure the number of datasets displayed on the home page is correct taking into account private datasets of other users.
• An improved dataset editing experience.
• A bug fix to ensure the data access request list filter works as expected (for DAR-enabled customers)

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This release brings you the following features:

1.0.7

Summary

The 1.0.7 version of FAIR Data Services primarily focuses on fixing bugs as well as a minor enhancement for users requesting access to data (for Data Access Request (DAR) enabled customers). Specifically, this release includes:

• A bug fix to ensure API PATCH requests to a dataset dictionary can only be applied to the specified dictionary.
• A bug fix to ensure deleted datasets are removed from search results.
• Minor UI bug fixes to ensure dataset visibility filters are present when panels are narrowed and minor API URL copy hover text.
• An enhancement to pre-populate the ‘Applicant Name’ field in the DAR form with the user’s username.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This release brings you the following features:

1.0.6

Summary

The 1.0.6 version of FAIR Data Services primarily focuses on adding Data Access Request (DAR) functionality as well as addition ways to configure FAIR and general bug fixes. Specifically, this release includes:

• The introduction of DAR allowing users to request access data by completing a DAR form, submitting for request and for reviewers to approve or deny requests.
• The upload of data (e.g. csv) to dataset entries.
• Clickable URLs in metadata.
• A Configuration Vocabulary API and the introduction of theming in FAIR.
• Public vs internal searches.
• A fix to execute the search when the search URL is executed in the browser.
• A fix to the ‘Forgot Password’ link and process.
• A fix to allow the API docs to be accessed without a trailing slash (e.g. /api/docs)

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This release brings you the following features:

1.0.5

Summary

The 1.0.5 version of FAIR Data Services primarily focuses on adding private and internal datasets with the option to switch between both as well as work to support our work towards our Data Access Requests (DAR) feature being released soon. Specifically, this release includes:

• The addition of private datasets
• An API to support the DAR feature
• A workflow process definition to support the DAR feature
• Cleanup of orphaned dataset data

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This release brings you the following features:

1.0.4

Summary

The 1.0.4 version of FAIR Data Services primarily focuses on:

• Improvements to the attachment upload experience
• Adding the the concept of ‘internal’ datasets (those that are viewable to all within a FAIR instance)

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This release brings you the following features:

1.0.3

Summary

The 1.0.3 version of FAIR Data Services primarily focuses on adding the capability to create, edit and delete dictionary controlled vocabularies via the user interface as well as the introduction of managed and custom roles. Specifically, this release includes:

• An enhancement to create, edit and delete dictionary lookups via the user interface
• API-based self-service user permission management via roles (i.e. groups of permissions)
• An enhancement to delete attachments via the user interface
• Minor user interface improvements such as consolidating metadata download buttons to a single menu in the actions ribbon.

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This release brings you the following features:

1.0.2

Summary

The 1.0.2 version of FAIR Data Services primarily focuses on adding the capability to delete data dictionaries via the user interface, enhancing elements of the user interface and other general bug fixes. Specifically, this release includes:

• An enhancement to delete data dictionaries via the user interface
• Dynamic update of total number of datasets displayed on the home panel
• Improved messaging for unauthorised users
• Bug fixes to ensure empty attachments can’t be uploaded and that long search or dataset names are displayed correctly in dropdown menus
• Rename of ‘code’ to ‘ID’ when creating datasets or saving searches

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This release brings you the following features:

1.0.1

Summary

The 1.0.1 version of FAIR Data Services primarily focuses on adding the capability to add data dictionaries via the user interface, providing visibility of API documentation and other general bug fixes. Specifically, this release includes:

• An enhancement to create data dictionaries via the user interface
• The availability of API documentation at /api/docs/
• Exposing the session storage access token for API use
• Bug fixes to align ribbon icons in IE11

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This release brings you the following features:

1.0

Summary

Version 1.0 is the first public release of Aridhia’s FAIR Data Services product!

FAIR Data Services gives researchers and innovators the ability to discover and understand data through dataset search, classification and efficient metadata browsing capabilities described via dataset catalogues, dictionaries and associated attached assets. Our service is built upon the FAIR Data Principles of making data Findable, Accessible, Interoperable and Reusable (FAIR).

If you have any questions or feedback about our products, please do not hesitate to get in contact via our Service Desk.

Released Features

This first release brings you the following features:

Product Information Information on how to use the product can be found on our

FAIR Data Services Knowledge Base. Specifically: * Understanding FAIR Data Principles and the FAIR Data Services product * How to register for the product * How to navigate within the product * How to discover and view metadata * How to create, edit and delete datasets. For more information about the product, view our 

Aridhia FAIR Data Services web page or FAIR blog. Alternatively feel free to contact us.