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Guidelines for the Management of Research Data at BUT Originally prepared by P. Allan, J. Baker and L. De Vine Edited by Philippa Frame Nov 2015Contents Page1Introduction ............................................................................................................................
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How to fill out of research data at

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01
To fill out research data, start by gathering all the necessary information and documents related to your research. This may include survey results, experimental data, questionnaire responses, or any other relevant data sources.
02
Next, organize the gathered data in a systematic way. Create a clear structure or framework that allows for easy retrieval and analysis of the information. This may involve categorizing data based on variables such as age, gender, location, or any other relevant factors.
03
Once the data is organized, it is important to ensure its accuracy and reliability. Double-check the data for any inconsistencies, errors, or missing entries. If necessary, conduct data cleaning procedures to rectify any issues and ensure the integrity of the information.
04
Now, it is time to input the data into your chosen research data collection tool or database. This could be an electronic spreadsheet, a statistical software package, or a specialized research data management system. Make sure to enter the data accurately and according to the designated data fields.
05
Along with entering the data, it is vital to document the steps taken during the data collection and entry process. This includes noting down any data transformation or manipulation techniques utilized and any data handling protocols followed. Proper documentation improves transparency, facilitates reproducibility, and helps in validating the research findings.
06
After completing the data entry, perform a final quality check. Verify the data entries against the original sources and ensure that all required data fields are populated correctly. Review the documentation for completeness and clarity.
07
Lastly, share the research data with the appropriate stakeholders, such as collaborators, supervisors, or funding agencies. This helps to foster open science practices and allows others to access and validate the research findings. It's important to follow any relevant ethical considerations and data sharing policies when distributing the research data.

Who needs research data?

01
Researchers conducting primary or secondary analyses may need research data to support their investigations. They can use it to explore new research questions, replicate previous studies, or combine it with other datasets for comprehensive analyses.
02
Funding agencies often require researchers to provide access to the research data generated by their projects. This ensures transparency and accountability in the research process and allows for the evaluation of the research outputs. It also promotes data reuse and stimulates further scientific inquiry.
03
Institutions and universities may need research data to support their internal evaluation processes, such as performance assessments, accreditation, or ranking exercises. Having access to research data allows them to assess the impact and productivity of their researchers or research programs.
04
Policy-makers and government organizations may require research data to inform evidence-based decision-making. By analyzing research data, they can gain insights into various societal issues and design effective policies or interventions.
05
Research participants or members of the public may also have an interest in accessing research data. Open data initiatives provide opportunities for individuals to engage with research findings and utilize the data for their own purposes, such as academic studies, public awareness campaigns, or advocacy work.
In summary, filling out research data involves gathering, organizing, verifying, entering, documenting, and sharing the data. The research data is needed by researchers, funding agencies, institutions, policy-makers, and the general public for various purposes.
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Research data refers to the information collected or generated during a research project.
Researchers and institutions conducting research projects are required to file research data.
Research data can be filled out by providing detailed information about the data collection methods, analysis techniques, and results obtained during the research project.
The purpose of research data is to provide transparency, reproducibility, and accountability in research projects.
Research data must include details such as research objectives, methodology, data sources, analysis procedures, and findings.
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