Methods

A Data Management Plan documents the specific attributes expected for your FAIR objectives.

• Prepare the Data Management Plan as early as possible

Find out how to apply the FAIR Maturity Indicators to measure the FINDABILITY of the data and metadata.

• Findability of data is compared with your FAIR objectives to identify and make improvements in an iterative manner

Learn how to apply the FAIR Maturity Indicators to measure the ACCESSIBILITY of the data and metadata.

• Accessibility of data is compared with your FAIR objectives to identify and make improvements in an iterative manner

Consider how the granularity and context of data and associated metadata to help to inform your FAIR objectives.

• Understand the granularity and context of the data as early as possible

Read how to apply the FAIR Maturity Indicators to measure the INTEROPERABILITY of the data and metadata.

• Interoperability of data is compared with your FAIR objectives to identify and make improvements in an iterative manner

Discover how to apply the FAIR Maturity Indicators to measure the REUSABILITY of the data and metadata.

• Reusability of data is compared with your FAIR objectives to identify and make improvements in an iterative manner

Discover how these interactive events, guided by experts in data management, can provide a learning experience to improve the FAIRness of data brought by the participants.

• Practical “hands-on” training to evaluate and make data more FAIR

Learn how the responsibilities and competencies for data stewardship provides important expert advice and suport for FAIR data management.

• A growing need for data stewardship competences in life science industry

Find out how a generic workflow can be deployed by workshops or action team to make important datasets FAIR.

• FAIRification as a retroactive workflow is common at this time
• FAIRification by design (data “born” FAIR) is far more desirable for the future

Find out how the data stakeholders can prepare for the changes necessary to make data FAIR.

• Readiness for change provides the means to engage a wider group of staff throughout an organisation.

Learn how change agents, such as data stewards, play an important  role to support FAIR data management and application.

• A network of change agents coordinate data management across the organisation to support the necessary changes.

Capability Maturity Model applied to data helps an organisation to determine the capability for making data assets FAIR.

• The method defines five levels of maturity for how an organisation makes and maintains FAIR data.