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# System prepended metadata

title: DMP draft for UKRI assurance platform proposal

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### Data Specification:
1. What types of data will the project generate or collect?
	*Software*
	*Case studies*
    ==we will also hold some GDPR senstive data (e.g. contact information), and it will be managed on secure Turing infrastructure==
2. In what formats will the data be collected or generated?
	*python, js and md files*
	*What will the case study format be?*
3. What is the expected size of the data?
4. Who are the potential users of the data and how might it be useful to them?
6. Will the project involve the collection of any sensitive data?
	*No confidential or personal data*

### Data Availability and Preservation:
7. How and when will the research data be made openly available?
	*A first version of the SAFE-D Assurance Platform is already openly available on github
	Azure platform for hosting?*
8. How long and how will the data be preserved?
10. How will the data be backed up, and where will duplicate copies be stored?

3. How does the data management plan align with community standards?

### Data Discoverability, Reusability, and Metadata: 
14. How will the project ensure discoverability and reusability of data, and how will metadata and access information be provided?

1. Will any documentation be provided around the platform and case studies?
*Yes, ...*
3. Under what license will the platform be published?
4. Will the metadata be made available free-of-charge?
5. Will you provide clear version numbers and persistent identifiers for your data?
6. Will the project use a controlled vocabulary for the data (eg mapping to more commonly used ontologies) ?

### 6. Legal, Ethical, and Commercial Considerations: 
25. Are there any ethical or legal issues that could impact the sharing of data?
*Do the assurance cases have any potential future legal liabilities?*
26. Will there be a limited period of privileged use for the data, and if so, how long?

### 7. Acknowledgement of Contributions: 
27. How will the intellectual contribution of researchers who generate, preserve, and share data be acknowledged?
*eg researchers contributing exemplar assurance cases*

### 8. Resource Allocation:
29. How will the cost of making your data findable, accessible, interoperable, and reusable be covered?
	*eg Azure hosting costs?*
30. How is the funding of your sharing costs cost-effective and will expenditure be incurred before the end date of the grant?