Use this checklist to prepare your dataset for submission. See our FAQs section below for more information.
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):
Here is some basic information on uploading datasets. See FAQs section below for more details.
You are accessing a self-service data publication service developed by the California Digital Library. This service is branded under different names: Dash, datashare, and ONEshare. Don't worry, each of these brands offer the same product and features. Below are FAQs. Unless otherwise mentioned, all infomration below covers all instances of our service.
This site is targeted for use by members of the University of California community. Researchers in any field from participating UC campuses can use their campus credentials to deposit data in their campus-specific website. The following seven campuses currently participate:
Contact firstname.lastname@example.org for more information.
Anyone can search, view and download datasets. However, for each campus-specific website, data submission is limited to individuals affiliated with that campus. Contact email@example.com for more information.
ONEshare is a service, operated by CDL in collaboration with the DataONE project. Anyone can deposit Environmental and Earth observation data within ONEshare. Contact firstname.lastname@example.org for more information.
All fields of scholarship. All types of research artifacts. However, this service is intended for complete, final research datasets and all content must not violate privacy or copyright, or breach confidentiality or nondisclosure for data collected from human subjects.
Here is some basic information on submitting datasets. See the Submission Basics section above for more details.
For generic data management help, see the DataONE Primer on Data Management Best Practices (PDF).
We accept files in any format for deposit. However, we recommend using non-proprietary/open file types to make the data readable by more researchers over a longer span of time. (See the UK Data Archive for a list of optimal file formats.) If you have files of a specialized or proprietary nature, be sure they are accompanied by any pertinent information that would allow the proper viewing and/or usage of the file. This information can be included in the "Methods" or “Usage Notes” section of the description, or as a separate readme.txt file archived alongside the dataset files.
There is a limit of 2 GB per file and 10 GB per dataset. All data files are stored in the Merritt Repository. More information about the Merritt Repository Service is available in the white paper "UC3, Merritt and Long-term Preservation." Contact email@example.com for information on submitting larger datasets.
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. Read more about metadata in the DataONE Primer on Data Management (PDF).
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.
No. We accept all quality data, regardless of whether they have been used to publish a paper.
Yes. To obtain a DOI, you must submit a minimal amount of required description, but you can return later to upload the data files.
Not at this time. We do have plans to expand the functionality to include both. If you have specific requests for functionality, please add them to our GitHub Issues page.
Note: You are free to stage your dataset publications. Your data will not be exposed to the public until you click "Submit".
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.
No. Users can download data without logging in.
No. These data are made publicly available free of charge.
Except for some legacy datasets that were released with custom use agreements, data is released under the terms of the Creative Commons Attribution license (CC-BY-4.0). This means that you can use the data for any purpose, but you must give proper attribution to the creators. To do so, we ask that you cite the data formally in the reference section of your publication. Each dataset’s landing page includes a suggested citation.
Note: datasets in ONEshare are in the public domain under a Creative Commons Universal waiver (CC0). You have no legal obligations, but we do ask that you cite the data formally when practical to acknowledge the creators and to make your own research more reproducible.
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:
No. Data found in this service is self-deposited by researchers and may or may not have undergone formal review.
All information is provided "as-is" and the user shall hold the California Digital Library, UC Campus, and any information provider supplying data free and harmless in connection with the use of such information.
Yes, you can update both the description and the data files. All versions of a dataset will be accessible and kept in the Merritt Repository, but the dataset DOI will always resolve to the newest version. Contact firstname.lastname@example.org for more information.
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 email@example.com.