FAIR by Design services

Design your own scalable research data management solution

Scientists in pharma and life science research are collecting large amounts of data. However, this data is often managed and stored in such a way that it does not support open science and open collaboration. To make data Findable, Accessible, Interoperable and Reusable, the FAIR principles have been introduced.

With our ‘FAIR by Design’ services, The Hyve’s experts can help you implement these principles by building and/or customizing data management infrastructure or systems and making both existing and newly collected research data FAIR.

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Challenges

Challenges that can be solved with FAIR by Design solutions

Data organization

Data is difficult to find for users, because it is disconnected and metadata is missing. There is no easy way to obtain an overview of all data available in the organization.

Data sharing

Users are unable to access data that is managed by others in the organization. For example, it is stored in not very well suited places (research laptop, lab hard drive or usb drive) or it may not be shared by research groups.

Data standards, interoperability

Data does not integrate easily and is impossible to reuse.

Data analysis enablement

It is not a straightforward process to query and retrieve the data. Data analysis scripts and dashboards are difficult to create and reuse.

Process

We customise our process for each customer case based on a three-phase framework

Step 1

Preparation

The preparation phase is the most important step of our FAIR by Design services. This is also the phase where we have the most interaction with a customer because the solution requirements need to be identified and the design of the solution established.

For new solutions (developed from scratch or based on non-mature products) or complex projects (large number of stakeholders and consensus needed), we tend to run a preparation project separately in which we identify the requirements and create a solution design in consultation with the customer. We then create a detailed project plan for the development and acceptance stages, which can be run in a follow-up project.

Step 2

Development

In this phase, our team develops the solution. We like to work with Agile methodology, which entails managing a project by breaking it up into several short phases called sprints. This phase requires constant collaboration with stakeholders and continuous improvement at every stage. We usually create and show a demo of the solution in every sprint. This helps to refine the solution and determine which tasks to prioritize. Once the work begins, our teams cycle through a process of planning, executing, and evaluating. Technical documentation is also an important part of the delivery process.

Step 3

Acceptance

This is the phase where the final solution is tested by the customer who needs to validate and sign off the final product. Following the Agile approach, this phase can occur in cycles just like the development phase. We often make a couple more iterations based on the customer’s test outcomes if they run into issues that The Hyve’s team need to fix. In case of alterations, a new test round must be performed by the customer until the product is finally formally accepted. The Hyve then deploys the solution organization-wide or provides installation documentation and assistance to the customer.

A use case

A FAIR By Design solution for Institut Curie

Institut Curie, a cancer research hospital in Paris, approached The Hyve because they wanted to provide a collaborative environment and secure data catalog for their researchers. To achieve this, they needed an infrastructure supporting data sharing, which would enable maximum use and reuse of data under secure and controlled conditions.

The Hyve developed Fairspace as our FAIR by Design solution. The research data management platform combines services and software tools aimed at making research data manageable while complying with the FAIR data principles (Findable, Accessible, Interoperable and Reusable). Fairspace can integrate with other storages via WebDAV protocol and provides an analysis environment using Jupyter Hub. The Hyve also created an environment for end-users to connect their existing data files and annotate them with metadata. Read more: URL lead to full article

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Institut Curie context diagram

News

Fairspace platform recognized as a key innovation by European Commission

Fairspace how it works 2
How Fairspace works

The Hyve has been identified as a key innovator based on our work in designing and developing the open-source platform Fairspace within FNS-Cloud, a project funded by the European Commission.

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Let's start collaborating!

Main focus of our ‘FAIR by Design’ Services:

  • Not just improving FAIRness for humans but also for machines to automatically find and use data.
  • Guide to good Data Management and Stewardship practice.

The Hyve provides software engineering services to build or customise open-source tools and enable integrations with existing data sources, in order to support knowledge creation and collaboration.

Besides the Fairspace platform we developed, we can support you in integrating other Research Data Management tools such as Gen3, iRODs and COLID to tailor to the needs of our clients on a case-by-case basis. Let us help you design your own scalable research data management solution!

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