Creative Commons Zero (CC0) Designation [1]

The ASU Research Data Repository uses the CC0 option as the default option. This option lets others distribute, remix, tweak, and build upon your work, even commercially. The summary of the legal code behind this designation states, "The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law." (Further information: https://creativecommons.org/about/cc0/ )

Crediting Research Data with Citations [2]

Arizona State asks that all users who download datasets from the repository adhere to the following Community Norms. Any materials (books, articles, conference papers, theses, dissertations, reports, and other such publications) created that employ, reference, or otherwise utilize the data (in whole or in part) gathered from deposited datasets should credit the source with the applicable data citation generated by the ASU Research Data Repository (found on the dataset page). These citations include the data authors, data identifier, and other information in accordance with the Joint Declaration of Data Citation Principles (https://doi.org/10.25490/a97f-egyk ) for all research data.

Data Citation Principles

Sound, reproducible scholarship rests upon a foundation of robust, accessible data. For this to be so in practice as well as theory, data must be accorded due importance in the practice of scholarship and scholarly record. Data citation, like the citation of other evidence and sources, is good research practice and is part of the scholarly ecosystem supporting data reuse.

The following Data Citation Principles cover purpose, function and attributes of citations:

1. Importance: Data should be considered legitimate, citable products of research.

2. Credit and Attribution: Data citations should facilitate giving scholarly credit and legal attribution to all contributors to the data.

3. Evidence: In scholarly literature, the corresponding data should be cited.

4. Unique Identification: A data citation should include a persistent method for identification that is globally unique.

5. Access: Data citations should facilitate access to the data, associated metadata and other materials to make use of the referenced data.

6. Persistence: Unique identifiers, and metadata should persist — even beyond the lifespan of the data they describe.

7. Specificity and Verifiability: Data citations should facilitate identification of the specific data that support a claim.

8. Interoperability and Flexibility: Data citation should be flexible but should not compromise interoperability.

Maintaining Anonymity of Human Subjects

Users of the ASU Research Data Repository should not abuse the available data that relate to human subjects and use the materials to:

1. obtain information that could directly or indirectly identify any research subjects, or obtain information to attempt to identify any research subjects;

2. produce and/or publish connections among datasets that could identify individuals or organizations; or

3. obtain (additional) information about or (additional) means of contact for already-identified subjects.

Third Party API Applications (API Terms of Use)

If you are interested in building an API application designed (exclusively or not) to allow and provide access to the ASU Research Data Repository and its materials and services, please keep in mind that such applications:

1. must ensure that all users of the application read and agree to both the API Terms of Use and General Terms of Use;

2. must post both the API Terms of Use  and General Terms of Use in an adequately noticeable and conveniently-accessible place so that all users of the application can easily find and view it;

3. acknowledge and agree that ASU Research Data Repository is not otherwise affiliated with any third-party Dataverse software API applications that provide access to ASU Research Data Repository, and therefore will not be held liable (in whole or in part) for any suits or damages incurred by the third-party Dataverse softwareAPI application owners, administrators, and affiliates; and

4. must clearly publish its third-party non-affiliation status in relation to ASU Research Data Repository in its application and disclaim any special relationship with ASU Research Data Repository outside of the ones arising out of the obligations agreed upon from the API Terms of Use and the General Terms of Use agreements.

Footnotes

1. Adapted from https://creativecommons.org/publicdomain/zero/1.0/

2. Adapted from Data Citation Synthesis Group: Joint Declaration of Data Citation Principles. Martone M. (ed.) San Diego CA: FORCE11; 2014