Project description for NAISS Large Fall Call 2025
Here are detailed instructions for what you should include in the project description for the NAISS Large Fall 2025 call. If you are re-using a description from an earlier proposal, please highlight changes. We urge you to respect the maximum page limits for all sections.
1. Overview (0.5 page)
Provide an abstract of the proposed research. Include information on computations if compute resources are requested.
If storage resources are requested, include data origin and planned analysis. If relevant, mention which compute projects other than this that are generating the data (NAISS projects, PRACE, et cetera)
2. Resource usage, codes and performance (1.5 pages)
This section is required if at least one compute resource is requested. It can be omitted if only storage resources are requested.
Describe how your applications can make efficient use of the requested resources. Give numbers and/or indicate measures of scalability and performance (for example a graph of execution time versus number of cores).
Include records of usage only if this project is not a direct continuation of a previous one, or if you have not been granted time for a similar project(s) in previous allocation rounds.
If the requested resources differ significantly from earlier allocations and/or used resources, please explain the difference. Also motivate if specific resources (such as large memory, GPUs, et cetera) are requested.
The Alvis resource is intended for research in and research using Artificial Intelligence and Machine Learning methods. If you are applying for resources on Alvis, please provide the following information:
- Describe the AI/ML tools and methods that will be used.
- Motivate the resources requested.
- List the data-sets to be used and describe the type(s) of data to be managed and used, including how data is to be retrieved/generated/collected/used.
3. Data management plan (1.5 pages)
A data management plan is mandatory if more than default storage is applied for on at least one storage resource. It can be skipped if no storage or only default storage is applied for.
NAISS storage resources are only provided for active data used during analysis. Describe how you will take care of your data at the end of the requested allocation if you do not receive continued storage from NAISS.
Describe how your applications can make efficient use of the requested resources. Motivate and provide explicit numbers related to size, generation rate, number of files et cetera. Describe how data will be generated (codes, data type et cetera), transferred into and out of the system. Describe how data will be managed on the system, for example using ephemeral/permanent storage.
Include records of usage only if this project is not a direct continuation of a previous one, or if you have not been granted storage for a similar project in previous allocation rounds.
Motivate if specific resources (for example at a specific centre) are requested.
If applicable, describe how data will be made publicly available following the end of the project and if a general-purpose data repository such as Zenodo will be used.
4. Sensitive data handling (1 page)
In addition to 2) and 3) above, this section is required if at least one resource for sensitive data is requested. It can be omitted if no resource for sensitive data is requested.
To ensure the compliance with GDPR, we need the following information:
- Categories of data subjects (e.g. citizens, patients, students, etc.)
- Types of personal data (e.g. name, identifier, address, etc)
- Types of sensitive personal data (e.g. voice, genetic information, political opinions, etc.)
We also want to understand certain aspects of your data management plan. Please describe the type of data that will be stored in this project. Answer at least the following questions:
- Have you drawn up a Data Management Plan (DMP)? If so, please provide the link. If not, consider Data Stewardship Wizard or DMPonline.
- The type of data to be stored (genomes, fastq files, image data, .tiff files, etc).
- Is this project covered by a Data Processing Agreement?
- Have you completed a Data Protection Impact Assessment? Read more at the Swedish Authority for Privacy Protection.
5. Scientific challenges (2 pages)
Describe how the proposed project relates to the state of the art of the scientific area, has the potential to increase the knowledge within its scientific area, and how the proposed project uses adequate computational methods to address scientific questions. Include a justification for the need of large-scale data/HPC.
6. Research group and management (0.5 page)
Describe the complete research group that will be working on the proposed project: name of member, HPC experience, position, and roles. Indicate how the allocated resource will be managed within the group.
7. References (0.5 page)
Include a list of references for the project description.