Recommended guidance for data management plans:
Questions to ask during the development of the plan.
- Describe the variability of the data.
- Describe the volume of the data.
- Describe the velocity of the incoming data.
- How long do you need to keep the data.
With the above information calculate the following.
- How many types of files will you have?
- How large are the files for each type?
- How quickly will the data grow?
- How much data will be stored temporarily, how much data will be stored in an archive format.
Now we can size your data management plan.
- If you are using less than ~1TB of data you may want to look at using Microsoft Teams or local department resources to archive the data.
- If you are using more than ~1TB of data you may want to look at using local department resources or Research Computing Services. (Please submit a ticket to request a quote)
- If you are using more than 20 - 30TB of data you may want to investigate purchasing storage hardware and hosting it in Research Computing's data center. (Please reach out to us via a call ticket to investigate)
Department of Education Grant:
How much storage do you think you will use?
Small data management plan example
I. Types of data
The data created by this project will be in the form of surveys, models, images, and videos. The data will be captured in the form of in the form of comma-delimited raw text files, png images, and 2K mpeg4 videos. We will not be using any existing data.
II. Data and Metadata Standards
We will use HTML, CSV, PNG, and MPEG4 formats to publish the results online. CSV is the easiest format for keeping track of this kind of data. The metadata will be stored in the form of column heading and explanatory text. These will be created by scripts and hand annotations. The metadata will be converted to HTML using scripts and automated processes.
III. Policies for access and sharing and provisions for appropriate protection/privacy
We will post the data on Florida Atlantic University's Omeka archive https://omeka.hpc.fau.edu/{SITE}/ The site is provide by the Office of Information Technology Research Auxilary Core and is included in the budget. We retain the right to use the data before opening it up to wired use, but will publish all corresponding data as publications are released.
There are no ethical and privacy issues with the included data. the data is not 'personal data' in terms of the Data Protection Act 1998 (the DPA) or equivalent HIPAA requirements) and IRB Protocols do not apply in this case as there are no human subjects in the study. The data is not copyrighted and no licenses pertain to it.
IV. Policies and provisions for re-use, redistribution
There will be no permission restriction placed on the data. Other users are expected to consume this data. There are no reasons not to share or re-use data.
V. Plans for archiving and Preservation of access
The long-term strategy for maintaining, curating, and archiving the data is via regular backup of the Omeka website as provided by the Research Computing Core. There are no transformations necessary to prepare the data for preservation/data sharing. As far as metadata, documentation will be submitted alongside the data. The long-term data storage facility at Florida Atlantic for preservation and backup is S3 backups in Wasabi. The costs associated with these backups are included in the provided budget.
Medium data management plan example
I. Types of data
The data created by this project will be in the form of surveys, models, images, and videos. The data will be captured in the form of comma-delimited raw text files, PNG images, and 2K mpeg4 videos. We will not be using any existing data.
II. Data and Metadata Standards
We will use HTML, CSV, PNG, and MPEG4 formats to publish the results online. CSV is the easiest format for keeping track of this kind of data. The metadata will be stored in the form of column heading and explanatory text. These will be created by scripts and hand annotations. The metadata will be converted to HTML using scripts and automated processes.
III. Policies for access and sharing and provisions for appropriate protection/privacy
We will post the data on Florida Atlantic University's Omeka archive https://omeka.hpc.fau.edu/{SITE}/ The site is provided by the Office of Information Technology Research Auxilary Core and is included in the budget. We retain the right to use the data before opening it up to wired use, but will publish all corresponding data as publications are released.
There are no ethical and privacy issues with the included data. the data is not 'personal data' in terms of the Data Protection Act 1998 (the DPA) or equivalent HIPAA requirements) and IRB Protocols do not apply in this case as there are no human subjects in the study. The data is not copyrighted and no licenses pertain to it.
IV. Policies and provisions for re-use, redistribution
There will be no permission restriction placed on the data. Other users are expected to consume this data. There are no reasons not to share or re-use data.
V. Plans for archiving and Preservation of access
The long-term strategy for maintaining, curating, and archiving the data is via regular backup of the projects shared storage as provided by the Research Computing Core. All intermediate data will be removed prior to archiving as is necessary to prepare the data for preservation/data sharing. As far as metadata, documentation will be submitted alongside the data. The long-term data storage facility at Florida Atlantic for preservation and backup is S3 backups in Wasabi. The costs associated with these backups are included in the provided budget.
Large data management plan example
I. Types of data
The data created by this project will be in the form of surveys, models, images, and videos. The data will be captured in the form of comma-delimited raw text files, PNG images, and 2K mpeg4 videos. We will not be using any existing data.
II. Data and Metadata Standards
We will use HTML, CSV, PNG, and MPEG4 formats to publish the results online. CSV is the easiest format for keeping track of this kind of data. The metadata will be stored in the form of column heading and explanatory text. These will be created by scripts and hand annotations. The metadata will be converted to HTML using scripts and automated processes.
III. Policies for access and sharing and provisions for appropriate protection/privacy
We will post the data on our public research center website. The site is provided by the Office of Information Technology Research Auxiliary Core and is included in the budget. We retain the right to use the data before opening it up to wired use, but will publish all corresponding data as publications are released.
There are no ethical and privacy issues with the included data. the data is not 'personal data' in terms of the Data Protection Act 1998 (the DPA) or equivalent HIPAA requirements) and IRB Protocols do not apply in this case as there are no human subjects in the study. The data is not copyrighted and no licenses pertain to it.
IV. Policies and provisions for re-use, redistribution
There will be no permission restriction placed on the data. Other users are expected to consume this data. There are no reasons not to share or re-use data.
V. Plans for archiving and Preservation of access
The long-term strategy for maintaining, curating, and archiving the data is via regular backup of the project's external storage system as provided by the proposed budget, Research Computing Core. All intermediate data will be removed prior to archiving as is necessary to prepare the data for preservation/data sharing. As far as metadata, documentation will be submitted alongside the data. The long-term data storage facility at Florida Atlantic for preservation and backup is S3 backups in Wasabi. The costs associated with these backups are included in the provided budget.