| FAIR Data by Design – Roche | Data can only be registered in applications if it complies with FAIR standards defined by the organization | Governance by design | FAIR Toolkit | [1] |
| FAIR Data by Design – Roche | APIs are designed to ensure FAIR-compliant data exchange across the ecosystem | FAIR infrastructure enablement | FAIR Toolkit | [1] |
| FAIR Annotation of Bioassay Metadata – Pistoia Alliance | Data is FAIR by design or made FAIR through post-processing and annotation workflows | FAIRification processes | FAIR Toolkit | [2] |
| FAIR Data by Design – Roche | Data providers upload datasets following internal and global FAIR standards | Standardized ingestion | FAIR Toolkit | [1] |
| FAIR Data by Design – Roche; Adoption and Impact of an Identifier Policy – AstraZeneca | All data objects are assigned persistent URIs | Persistent identification | FAIR Toolkit (Roche) / FAIR Toolkit (AZ) | [1] [4] |
| FAIR Data by Design – Roche | Each dataset is registered in a searchable catalogue | Discoverability | FAIR Toolkit | [1] |
| Elucidata – Identification of Drug Targets for Cancer Immunotherapies | Reduced manual curation through "curation lite" approaches leveraging ML for triage and validation | Automation of data curation | FAIR Toolkit | [3] |
| Roche; Elucidata | Relevant datasets can be found faster by reducing manual search and harmonization steps | Improved discoverability and reuse | FAIR Toolkit (Roche) / FAIR Toolkit (Elucidata) | [1] [3] |
| Elucidata – Identification of Drug Targets for Cancer Immunotherapies | Target identification pipelines reduced from years to months through FAIR data and curated datasets | Acceleration of R&D | FAIR Toolkit | [3] |
| Ontoforce Case Study (DISQOVER) | Pre-linked ontologies enable rapid analysis of competitive landscapes without manual integration effort | Knowledge integration and analytics acceleration | Ontoforce | [5] |
| PwC Report (2018) – Cost of Not Having FAIR Data | Reduction in time spent by researchers searching and preparing data | See Section 3.1 | EC Publications | [6] |
| PwC Report (2018) – Cost of Not Having FAIR Data | Reduction in salary costs and/or resource allocation due to improved efficiency | See Section 3.1 | EC Publications | [6] |
| PwC Report (2018) – Cost of Not Having FAIR Data | Reduction in storage costs through elimination of redundant or unused data | See Section 3.2 | EC Publications | [6] |
| PwC Report (2018) – Cost of Not Having FAIR Data | Reduction in licensing costs through improved data reuse and reduced duplication | See Section 3.3 (Table 4) | EC Publications | [6] |
| FAIR Decide Framework – FAIR data cost–benefit assessment | Decision-support framework for FAIRification. | Business analysis to prioritize datasets for FAIR. | ScienceDirect | [8] |