Open Science and Data management 

This is a mandatory element of the application for a LEAD AI postdoctoral research fellow position – APPLICATIONS THAT DO NOT INCLUDE THIS WILL NOT BE CONSIDERED.  

Please fill in, delete instruction text (textboxes) and upload this attachment with the file name: surname_name_openscience
LEAD AI is dedicated to making research results available and reusable. Please reflect briefly on Open Science practices, data management aspects and planned outreach activities/stakeholder involvement related to your project. You find relevant links on the last page. 
Note that this reflexive exercise will not be scientifically evaluated. However, it is an admissibility criterion of the application. 

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Shortly describe how you plan to adhere to Open Science practices and align with the UiB Policy of Open Science in your project (link on last page). 
Openness, transparency, and knowledge exchange are core values for the University of Bergen. LEAD AI projects are expected to include Open Science practices of ensuring open access to scientific publications and responsible data management. 
If appropriate in the project, please point out how additional Open Science practices will be adopted. For example, involving all relevant knowledge actors, including citizens (e.g. citizen science, stakeholder involvement), early and open sharing of results (e.g. pre-registration, publishing pre- prints), output management beyond research data (e.g. software/code/models/educational resources), engaging in open peer review, and open innovation. 

Part 1 - Open Science Practices  

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Write texts below each question (max 100 words pr question). You may delete this textbox before uploading. Questions 1, 2, 3, 9 and 10 are mandatory. 
In general, LEAD AI projects are expected to include responsible management of research data in line with the FAIR principles, and sharing information needed to validate and reproduce the results. 
LEAD AI fellows are expected to provide a data management plan by month 6. In preparation for this, and to consider the following questions, outline those applicable to your project.

Part 2 - Research data management

Questions 1, 2, 3, 9 and 10 are mandatory. 
1.	Are there data management aspects in the project that will require specific attention? 

2.	What type of data will be produced/reused in the project, and what type of documentation (metadata) will be needed to accompany the data?

3.	What type of code, software or models will be produced/reused in the project, and what type of documentation (metadata) will be needed to accompany the code/software/models?

4.	Who could be interested in reusing your results, and what steps could you take to ensure your data/code/software/models is reusable? (if relevant)

5.	Are there any legal challenges that need to be addressed in the project and between project partners, such as processing of personal and/or sensitive data, export control, intellectual property rights/confidentiality issues? (if relevant)

6.	Are there any ethical challenges that need to be addressed, such as obtaining consent from human participants, obtaining ethical approvals, collection or processing of personal data, special categories of personal data incl. health data, indigenous data, cultural heritage objects? Are there codes of conducts that will be followed? (If relevant)

7.	Are there any considerations regarding the use of artificial intelligence that need to be addressed, including an evaluation of risk? (if relevant)

8.	Are there any reasons not to share data/code/software from the project, including protection of sensitive information or intellectual property rights/confidentiality issues? If data cannot be shared openly, could it still be shared with restricted access (i.e. “as open as possible, as closed as necessary”)?  (if relevant)

9.	Will the project require computational infrastructure for processing/storage of large amounts of data (e.g. high-performance computing) and sensitive data? Are related costs budgeted for?

10.	Who will be responsible for the data management in the project? 

Part 3 - Intellectual property rights.  

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The responsibility for the protection and management of intellectual property lays with the university and is governed by an agreement between UiB, and UiB’s technology transfer partner VIS. LEAD AI fellows will be encouraged to assess their research results for potential commercial value. Supervisors will be involved in the exploitation of results. Where indicated, commercial exploitation of research results is a goal for LEAD AI. 
Reflect briefly on protection and management of intellectual property rights and potential for commercialisation linked with your proposed project, as well as educative activities and stakeholder involvement modes, to avoid later bottlenecks and obstacles. 

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Relevant links:  
https://www.uib.no/en/foremployees/142184/university-bergen-policy-open-science#
https://research-and-innovation.ec.europa.eu/strategy/strategy-2020-2024/our-digital-future/open-science_en 
https://www.openaire.eu/horizon-europe-open-science-requirements-in-practice