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SlliRVICU PARTAKE:S POUR UIs DONNC5. S DLI RLI.CM.litchi SHA. RliD STA.RDS MIP OF RES\'larch DA.TA(Some) Research Data Management Best Practices James Do iron Research Data Management Services Coordinator,
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How to fill out research software current state

01
Gather all necessary information about the current state of the research software.
02
Identify the key components that need to be assessed or updated.
03
Use appropriate tools or techniques to collect data on the software's performance and functionality.
04
Document any findings or observations made during the evaluation process.
05
Analyze the data and identify areas for improvement or optimization.
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Develop a plan for addressing any issues or deficiencies discovered during the assessment.
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Implement changes or updates as needed to improve the overall quality and functionality of the research software.

Who needs research software current state?

01
Researchers and scientists who are using research software for their projects.
02
Software developers who are responsible for maintaining or updating research software.
03
Institutions or organizations that rely on research software for data analysis or simulation purposes.
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The research software current state refers to the comprehensive overview and assessment of software tools and applications currently utilized in research settings, including their functionality, usage, and compliance with relevant standards.
Researchers and institutions that develop or utilize research software are typically required to file the research software current state to ensure accountability and transparency in research processes.
To fill out the research software current state, one needs to gather information about the software being used, document its features, assess its impact on research, and submit the required forms or reports as specified by governing bodies or institutions.
The purpose of the research software current state is to evaluate and standardize the use of software in research, ensuring it meets the necessary criteria for quality, reliability, and effectiveness in producing research outcomes.
Information that must be reported includes software name, version, purpose of use, compliance with standards, user feedback, and any associated documentation or metadata.
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