What can I do to avoid spam detection?

    Everything you post or submit on Zenodo is subject to automated and/or manual review by our automated spam classification system. The system is dealing with large volumes of submissions on a daily basis, and while we strive to make it as accurate as possible, the system may occasionally make mistakes. The following is some of the actions you can take to ensure the spam classification system has enough information to determine your upload is ham.

    1. Register with an institutional email address (avoid generic mail providers)

    We encourage you to register with an institutional email address (e.g. provided by a university). If you already registered with another email address you can change your email address. We have very little spam from users having an institutional email address, and thus an institutional email address is a strong indicator that a submission is not spam. On the other hand, we have significant amount of spam coming from users using generic mail providers like gmail, outlook, yahoo and others. For help on how to create an account or change email address see:

    2. Provide extensive metadata

    The more information our automated spam detection system has available, the better decision the system can make. Thus please consider the following guidelines when filling in the metadata for your record:
    • Title: Use specific and descriptive titles similar to how you would title a research paper. Avoid generic titles (like "Supplementary material" and too catchy/bait click titles like "10 ways to ...." ).
    • Authors: Use proper human or organisational author names, provide affiliations and if possible ORCIDs for authors. See https://help.zenodo.org/docs/deposit/describe-records/creators/.
    • Description/notes: Provide a specific and descriptive abstract/description on your record. Avoid very long abstracts and excessive linking to external resources. See https://help.zenodo.org/docs/deposit/describe-records/descriptions/.
    • Related identifiers: Provide links to related research outputs - e.g. if depositing a dataset, provide a link to a paper using the dataset.
    • Funding information: If depositing funded research, provide a link to the grant/award/funder for the research.

    3. Add full name and affiliations to your user profile

    Provide a full name and affiliations in your user profile to help us determine if you account is related to a real person or not in case it gets flagged for manual review. Additional link your account to external services such as OpenAIRE, ORCID and GitHub. For instructions please see:
    Lastly, please ensure that what you upload is not considered as spam (i.e. records that we automatically remove). See What content do you consider spam?
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