Element 2: Related Tools, Software and Code

Element 2: Related Tools, Software and Code

Indicate whether specialized tools, software, and/or code are needed to access or manipulate shared scientific data, and if so, provide the name(s) of the needed tool(s) and software and specify how they can be accessed.

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Description

Links to More Information

Publish analysis code

Best practice guidelines encourage the publication of analysis code, configuration, and execution files to be published with data and other input files used to generate or compute research results. This is especially important for replication datasets. 

Replication guidance: https://dataverse.org/best-practices/replication-dataset

Research Code: https://guides.dataverse.org/en/latest/user/dataset-management.html#research-code 

Use Harvard Dataverse tools

•  Github connector

• GeoJSON

• Data Explorer

• Supported File Previewers

• Binder

Link to tools in guide

Is this it? https://guides.dataverse.org/en/latest/admin/external-tools.html#inventory-of-external-tools 

Follow best practices for research code

Code files - such as Stata, R, MATLAB, or Python files or scripts - have become a frequent addition to the research data deposited in Dataverse repositories. 

https://guides.dataverse.org/en/latest/user/dataset-management.html#research-code 

Publish research & scientific software

Generalized or multi-purpose software that can be used across different datasets may be published as a separate research object  

Publishing as separate research objects can include: as a separate dataset in Harvard Dataverse, or in another location (GitHub, container registry, Zenodo)

Sample DMP Text for Section 2.1

To support data access and reuse all code files generated as a product of this research will be published in Harvard Dataverse as part of the replication dataset that contains data and documentation files. 

Original software developed to analyze imaging data (e.g.) will be published in Harvard Dataverse.