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DATASETS AND CODE AVAILABILITY POLICY The Economic Record has updated its datasets and code availability policy, thus bringing it more closely in line with the policy adopted by leading general interest

How to fill out datasets and code availability

How to fill out datasets and code availability:

1. Gather all necessary datasets: Start by identifying the datasets that are required for your project. This could include gathering data from various sources such as surveys, experiments, or existing databases. Make sure to collect and organize the data in a format that is compatible with your analysis tools.
2. Clean and preprocess the datasets: Before filling out the datasets, it's important to clean and preprocess them. This involves removing any duplicates, dealing with missing values, and ensuring consistency in the data. Additionally, you might need to transform or normalize the data in order to make it more suitable for analysis.
3. Document the datasets: It is crucial to document the datasets properly to ensure their reproducibility. This includes providing detailed descriptions of the variables, explaining any data transformations or cleaning procedures, and specifying the data source or collection methods used. This documentation should be clear and concise, allowing others to understand and use the datasets effectively.
4. Provide code availability: In addition to the datasets, it is important to make the code used for analysis and data processing available to others. This promotes transparency and allows others to reproduce your results. You can provide the code through a version control system like Git or by including it in the supplementary materials of your project or publication.

Who needs datasets and code availability?

1. Researchers: Researchers from various fields often require access to datasets and code availability to replicate studies, validate findings, or build upon existing research. By providing datasets and code, researchers can contribute to the advancement of knowledge and promote collaboration.
2. Data scientists: Data scientists rely heavily on datasets and code availability to develop and test models, algorithms, and insights. Access to high-quality datasets can enhance the accuracy and robustness of their analyses, while code availability allows them to leverage existing work and build upon it.
3. Policy makers and decision-makers: Policy makers and decision-makers often need access to datasets and code availability to inform evidence-based policies and actions. By having access to the data and code used in various studies, they can evaluate the validity of the findings and make informed decisions that are backed by empirical evidence.
4. Students and educators: Students and educators can benefit from datasets and code availability to enhance their learning experience. By working with real-world datasets and code, students can gain practical skills and insights into data analysis and programming. Educators can also use these resources to design engaging and hands-on learning activities.

Overall, datasets and code availability are crucial for facilitating transparency, reproducibility, and collaboration across different domains. By making datasets and code accessible, we enable the scientific community and other stakeholders to build upon existing work, validate findings, and drive innovation.

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What is datasets and code availability?

Datasets and code availability refers to making research data and the code used to analyze that data available to others.

Who is required to file datasets and code availability?

Researchers and organizations conducting studies or research projects are required to file datasets and code availability.

How to fill out datasets and code availability?

Datasets and code availability can be filled out by providing access to the data and code through a repository or a designated platform.

What is the purpose of datasets and code availability?

The purpose of datasets and code availability is to promote transparency, reproducibility, and collaboration in research.

What information must be reported on datasets and code availability?

The information reported on datasets and code availability includes details on the data collected, methods used for analysis, and any code developed for the study.