DRUM for Data
Using DRUM to Share and Preserve Data
The Digital Repository at the University of Maryland (DRUM) collects, preserves, and provides public access to the scholarly output of the university. Faculty and researchers can upload research products for rapid dissemination, global visibility and impact, and long-term preservation. Depositing data in DRUM can help you satisfy data management and sharing requirements from the NSF, NIH, and other funding agencies and journals. You can also deposit code, documents, images, supplemental material, and other research products. DRUM tracks downloads of your research, and content in DRUM is indexed by Google and Google Scholar. DRUM assigns permanent DOIs for your items, making it easy for other researchers to cite your work.
Librarians are available to provide advice and assistance at any stage of data depositing. Email us in advance.
Before You Submit
Guidelines and Recommendations
- DRUM may not be used for deposits totalling more than 15GB. For recommendations about alternative repository options, see our list of recommended data repositories or email us for consultation.
- Individual files should be less than 2GB. Multiple files may be included with each submission, but for technical reasons the self-submission form will not accept individual files over 2GB. Please email us if you experience issues when uploading files.
- DRUM will only accept individual files as submissions. You may add multiple files, but if you wish to preserve file hierarchies or directory structures, you should create a zip or tar archive file.
- Submit data and publications as separate records. This ensures that your data can be cited and discovered appropriately.
- DRUM cannot accept confidential or sensitive materials (e.g. PII, endangered species, ITAR, etc.). De-identified or otherwise redacted materials are acceptable.
- Data should be accompanied by a plain text 'readme' file, data dictionary, codebook, or similar metadata document.
- Submit delimited or fixed-width files for tabular or plain text data (e.g. txt, csv, tab, tsv) when appropriate. Proprietary formats are acceptable, but use your best judgement and follow the practices of your field. If submitting a proprietary format, include a copy of the data in an open format when possible.
- Use similar titles for both publications and data.
- When submitting code, include a description of the computing environment in the readme (e.g. language and version, dependencies, operating system, etc.).
- When submitting supplemental materials associated with an article (including data), please include a citation to the article with your submission. There is a field in the submission form for this information. In the event that you are depositing data prior to submission, you may request to have your submission metadata edited or updated after publication.
Data submissions to DRUM should be accompanied by a readme file that contains, where applicable:
- A file manifest describing file names and contents
- State of the data (raw, cleaned, processed, subset, summary)
- Instruments and software used to create the data
- Processing steps
- Explanation of variables, column headers, value codes, flags, etc.
- Software required to view or use the data
- Licensing and any terms or conditions of use
- Funding source and grant number
- Contact information
Refer to this readme template to get started (adapted from Cornell University's RDM Service Group):author_dataset_readmetemplate.txt
Boilerplate Text for Data Management Plans
If you intend to use DRUM to fulfill data sharing, access, and preservation requirements, you may adapt the following boilerplate language for use in a data management plan:
1. For the section of your plan that addresses data access and sharing:
Research products from this project will be archived at the Digital Repository at the University of Maryland (DRUM) unless a more appropriate facility can be identified. DRUM is a long-term, open-access repository managed and maintained by the University of Maryland Libraries. Researchers and the general public can download data and code files, associated metadata and documentation, and any guidelines for re-use. All records in DRUM are assigned a persistent DOI to support consistent discovery and citation. The project description will be automatically indexed in Google and Google Scholar to support global discovery. Whenever possible, digital curation specialists in the University Libraries work with researchers to document and format materials for long-term access.
2. For the section of your plan that addresses long-term preservation:
The research products archived in DRUM will be available indefinitely. The University of Maryland Libraries’ DRUM repository is built on DSpace software, a widely used, reliable digital repository platform. DRUM performs nightly bit-level integrity tests on all files, and all contents are regularly copied to back-up storage. DRUM conforms to the digital preservation principles outlined in the University of Maryland Libraries’ Digital Preservation Policy.
Submitting to the UMD Data Collection
All datasets uploaded to DRUM are submitted through departmental research collections and automatically cross-listed in the UMD Data Collection for greater discoverability.
Steps for Submission
- Select your associated department's Research Works Collection
- Select 'Submit a new item to this collection'
- Check the box indicating that the record will contain a dataset
- Fill out the descriptive information fields
- Attach dataset files and readme file
- Review your submission
- Skip or choose a Creative Commons License for your work (Public Domain, CC0, or Creative Commons Share-alike). These licenses help inform others how the item may or may not be used. View the Creative Commons FAQ for more information. You also may decline to add a license.
- Grant the DRUM Distribution License
- Submit your data record for review and publication to DRUM. DRUM administrators will shortly review and approve your submission.