hortus:fair:introduction
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| ===== The importance of FAIR data in research data management===== | ===== The importance of FAIR data in research data management===== | ||
| - | Research data and research outputs become significantly more valuable when they can be found, understood, accessed, combined, and reused by other people (and by yourself in the future). This is the purpose of the FAIR principles—a widely adopted framework for research data management that makes research outputs more useful and sustainable over time. | + | Research data and research outputs become significantly more valuable when they can be **found, understood, accessed, combined, and reused** by other people (and by yourself in the future). This is the purpose of the **FAIR principles** a widely adopted framework for research data management that makes research outputs more useful and sustainable over time. |
| ^ FAIR principle ^ What it means in practice ^ How HORTUS helps ^ | ^ FAIR principle ^ What it means in practice ^ How HORTUS helps ^ | ||
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| | **Reusable** | Others should be able to understand the object well enough to evaluate reuse. | Licences, metadata, references, project context, version-aware documents, and dissemination workflows strengthen reuse. | | | **Reusable** | Others should be able to understand the object well enough to evaluate reuse. | Licences, metadata, references, project context, version-aware documents, and dissemination workflows strengthen reuse. | | ||
| - | FAIR is not a requirement to make everything open or public. A resource can be FAIR even when access is restricted, as long as the access conditions are clear and the metadata remains discoverable and meaningful. | + | FAIR is not a requirement to make everything open or public. A resource can be **FAIR even when access is restricted**, as long as the access conditions are clear and the metadata remains discoverable and meaningful. |
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