layout | title | permalink |
---|---|---|
page |
Generic FAQ |
/generic-faq/ |
- Download (markdown or Word version) this document.
- Update/edit in your favorite word processing software.
- Most questions can be updated/revised, and new questions may be added as you see fit.
- At this time we are restricting content to static text. Links are welcomed.
- In the future, this page can only be edited by UC3 personnel, which means you should not include transient information or links.
- Note that “XXXX” should be replaced by your institution name/library name.
- Return to [email protected].
Any XXXX-affiliated researcher (faculty, postdoc, student, or staff) can use this resource to archive and share research data sets, provided they have appropriate permission. Data that are collected at research sites are under the stewardship of the Principal Investigator (PI) named on the resource provided to collect the data, and this PI may grant permission to deposit data.
You will need XXXX credentials to log into the system and deposit data. You can, however, add your collaborators to the authors section of the metadata. Although only researchers logged in with XXXX credentials can deposit data, anyone can search, view and download datasets in Dash.
Data submitted to XXXX Dash is released under the terms of the Creative Commons Attribution license (CC-BY-4.0). This means anyone can access the datasets, download them, and use them provided they give proper attribution. Although many researchers would prefer to maintain more control over who downloads and uses their data, we believe that having data that are fully open is the best way to enable academic advancement. Read the Panton Principles for Open Data in Science for more information.
Not at this time. We do, however, have plans to expand the Dash functionality to include both. If you have specific requests for functionality, please add it to our GitHub Issues page.
- Permission from the appropriate PI(s)
- Information about the dataset, including dataset title, authors, keywords, and an abstract
- Access to files comprising the data set
No. Files of any type are acceptable for deposit. Ideally, file types will be non-proprietary. 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 could be stored in the "Methods" section of the metadata, or as a separate "Readme" document archived alongside the dataset files.
There are a variety of best practices depending on your field of research. For generic help, see the DataONE Primer on Data Management Best Practices (PDF). Generally,
- Ensure data files are the most up-to-date and complete versions
- Ensure the integrity of data files (check if corrupted)
- Ensure that all data relating to human subjects has been properly de-identified
- Double-check the accuracy of the descriptive metadata
- Enter as much descriptive metadata as possible in the indexing fields
- Ensure that any information critical to the proper viewing and/or usage of the data is included in the submission (e.g., as a separate "Readme" file)
Once you have deposited data, it is permanently archived and available through the California Digital Library’s Merritt Repository. See our Policies page for more information.
Yes, you can add new versions of your data.
Metadata will be indexed by the Thomson-Reuters Data Citation Index and Scopus. All datasets in Dash are 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 Dash. Dash also provides a faceted search and browse capability for direct discovery.
No. Dash accepts all quality data, regardless of whether it’s been used to publish a paper.
Persons requesting data are not required to sign-in in order to do so.
No, these data are made publicly available free of charge.
Please contact us at [your XXXX email here] with any questions about the data. Your message will be directed to an appropriate source to answer any questions about the data.