We have some general reminders and suggestions for publishing your data with Dash:
Comprehensive data documentation (i.e. metadata) is the key to future understanding of data. Without a thorough description of the context of the data file, the context in which the data were collected, the measurements that were made, and the quality of the data, it is unlikely that the data can be easily discovered, understood, or effectively used. Metadata is important not only to help people understand and make proper use of a data resource, but metadata also makes the resource discoverable (for example through internet searches or data indexing services). Read more about metadata in the DataONE Primer on Data Management Best Practices (PDF).
A complete list of our default metadata fields is below. Additional metadata can be uploaded alongside the dataset (e.g., as a readme.txt file). Our default metadata entry form is based on fields from the metadata schema of the DOI issuing agency, DataCite.
Optional Fields (the more you describe your dataset, the wider the reach):
We have two different options for uploading your data. - Upload directly from your computer: by using drag and drop or the upload button. We allow for 10gb of data per DOI to be uploaded this way. - Upload from a server or the cloud: by entering the URL of the location where data are held on a server, or the sharing link for Box, Dropbox, or Google Drive. We allow for 100gb of data per DOI to be validated and uploaded this way.
Please note that you may only use one of these two upload methods per version, but you may do subsequent versions of your data publication and utilize different methods of upload this way.
This site is targeted for use by members of the University of California and DataONE communities. Researchers in any field from participating UC campuses (with exception, see Davis below) can use their campus credentials to deposit data in their campus-specific website. Anyone in the world can search, view, and download datasets. The following nine institutions currently participate in publishing data in Dash:
All fields of scholarship. All types of research data. However, this service is intended for complete, re-usable, open research datasets and all content must not violate privacy or copyright, or breach confidentiality or nondisclosure for data collected from human subjects.
There is a limit of 100gb per data publication. All data files are stored and preserved in the Merritt Repository. More information about the Merritt Repository Service is available in the white paper "UC3, Merritt and Long-term Preservation."
No. We encourage and accept all quality data, regardless of whether they have been used to publish a paper to be deposited, shared, and preserved.
All datasets will be indexed by the Thomson-Reuters Data Citation Index and Scopus. Furthermore, each dataset is given a unique Digital Object Identifier or DOI. Entering the DOI URL in any browser will take the user to the dataset's landing page in Merritt. This service also provides a faceted search and browse capability for direct discovery.
Every dataset landing page includes usage information associated with the dataset. Data may be associated with any of the following licensing terms:
All new data intended for ONEshare must be submitted under the terms of the CC0 waiver; data intended for any of the UC campus instances must be submitted under the terms of the CC-BY license.
Note: data contributed before standardization to these two licensing regimes retain their original licensing terms.
Although many researchers would prefer to maintain more control over who downloads and uses their data, we believe that fully open data best supports the advancement of knowledge. Read the Panton Principles for Open Data in Science for more information.
Comprehensive documentation (i.e. metadata) is the key for dicoverability as well as ensuring future researchers understand the data. Without thorough metadata (description of the context of the data file, the context in which the data were collected, the measurements that were made, and the quality of the data), the data cannot be found through internet searches or data indexing services, understood by fellow researchers, or effectively used.
We require a few key pieces of metadata. Additional information can be included in the “Usage Notes” section of the description, or as a separate readme.txt file archived alongside the dataset files. The metadata entry form is based on fields from the DataCite schema and is broadly applicable to data from any field.
Data deposited are permanently archived and available through the California Digital Library's Merritt Repository. For a full description of the services provided by Merritt, see this document: UC3, Merritt, and Long-term preservation.
Preservation policy details include:
Data deposited is intended to remain permanently archived and available. Deletion of a deposited dataset is considered an exceptional action which normally should be requested and fully justified by the original contributor (e.g., if sensitive human subject data was not properly de-identified). If your data must be deleted, contact firstname.lastname@example.org.