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 <p>We do not require that featured partners will make contributions to the repository on a particular schedule. We welcome featured partners who are interested in how Academic Commons can help increase the impact of their research and who will provide us with feedback on their experiences with, and ideas for, the repository.</p>
 
 <h2 id="data-storage">Data Storage</h2>
-<h3>Can I use Academic Commons as the data repository for my upcoming research project?</h3>
-<p>We welcome research data and are happy to discuss how Academic Commons—or another repository such as Dryad (see below)—can meet your data sharing needs. We strongly encourage you to contact us when you are planning your project, especially if you will be collecting large amounts of data or if you expect to generate large individual data files. Email us at <a href="mailto:ac@columbia.edu">ac@columbia.edu</a>. Note: Academic Commons does not accept data that includes personally identifiable information for human subjects.</p>
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-<h3>How can I add my data to Academic Commons?</h3>
-<p>Please fill out a <%= link_to "data manifest", "/ac-data-manifest-template.md", download: 'ac-data-manifest-template.md' %> to tell us more about your data and project. If you have questions or need a DOI before you complete your data deposit, contact us at <%= mail_to 'ac@columbia.edu' %>.</p>
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-<h3>What is Dryad and why should I use it?</h3>
-<p><a href="https://datadryad.org/stash">Dryad</a> is a digital repository dedicated to research data. Columbia affiliates can deposit data in Dryad, and <a href="https://datadryad.org/stash/submission_process#curation">Dryad curators</a> help ensure that your data is well-described and in the best format for sharing. Dryad assigns a <a href="https://www.doi.org/factsheets/DOIKeyFacts.html">DOI</a> to your data and provides long-term storage. For upload size limits and procedures, see the Dryad <a href="https://datadryad.org/stash/submission_process#upload-methods">upload method documentation</a>.</p>
-<p>Upload data to Dryad by first <a href="https://datadryad.org/stash/sessions/choose_login">signing in</a> with an <a href="https://orcid.org/">ORCID ID</a>, then by following instructions on their upload form. Here is <a href="https://datadryad.org/docs/QuickstartGuideToDataSharing.pdf">a guide (PDF)</a> to get you started.</p>
-<p>Though we encourage you to use Dryad to share your research data, especially if you have large files, you can also upload research data to Academic Commons. Like Dryad, Academic Commons assigns a DOI to your data and offers long-term storage. <%= link_to t('blacklight.header_links.login'), new_user_session_path %> to Academic Commons using your Columbia UNI and password and follow the instructions on the upload form. Email us at <a href="mailto:ac@columbia.edu">ac@columbia.edu</a> if you have data files over 100MB in size.</p>
-<p>Libraries staff are currently working to connect Academic Commons to Dryad so that research data uploaded to Dryad by Columbia researchers will also be discoverable in Academic Commons.</p>
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-<h3>How can I use Academic Commons and Dryad as part of a practice of ethical data sharing?</h3>
-<p>Academic Commons and <a href="https://datadryad.org/stash">Dryad</a> are both committed to making research data as Finadable, Accessible, Interoperable, and Reusable as possible, in accordance with the <a href="https://www.go-fair.org/fair-principles/">FAIR Principles</a>. Find more information on preparing your data for sharing on Dryad’s <a href="https://datadryad.org/stash/best_practices">FAIR Data page</a> or by contacting the Columbia Libraries <a href="https://library.columbia.edu/services/research-data-services.html">Research Data Services</a>. </p>
+<h3>Can I use Academic Commons as the data repository for my research data?</h3>
+<p>Academic Commons is committed to making research data as Findable, Accessible, Interoperable, and Reusable as possible, in accordance with the <a href="https://www.go-fair.org/fair-principles/">FAIR Principles</a>. However, Academic Commons is not a dedicated data repository, nor do staff curate submissions.</p>
+<p>We are happy to discuss how Academic Commons or another repository can meet your data sharing needs. Please note that in the case of funded research, funders may have specific requirements for the repositories to which you submit. For larger datasets (over 10GB) Academic Commons is not appropriate. Consider <a href="https://research.columbia.edu/nih-policy-data-management-sharing-plan-23">these resources</a> from the Office of the Executive Vice President for Research (EVPR) when selecting a repository.</p>
+<p>If you are considering Academic Commons for your research data, we strongly encourage you to contact us when you are planning your project. Email us at <a href="mailto:data-deposit@library.columbia.edu">data-deposit@library.columbia.edu</a>. Note: Academic Commons does not accept data that includes personally identifiable information for human subjects.</p>
 
 <h3>Are there other data repositories for me to use to share my data?</h3>
 <p>Yes. There are numerous data platforms that may be appropriate repositories for your data. Disciplinary repositories, when available, often have the best tools for describing your data. The Office of the Executive Vice President for Research (EVPR) provides a page listing <a href="https://research.columbia.edu/content/research-data-storage">places where Columbia researchers can share their data</a>.</p>