<% if(!appModel.get("userProfiles")){ %>

My Account

<% } %> <% var welcomeName = firstName || fullName || ""; %>

Welcome, <%=welcomeName%>

<% if(appModel.get("userProfiles")){ %>
Settings

Edit information

<%=usernameReadable%>

My Other Accounts

If you have uploaded data with another account(s), you can link your accounts together so that you can log in with just one and manage all your data.

Add Another Account

Pending Requests

My Groups

Manage access and permissions to your data with groups. You can grant multiple users permission to edit, publish, or archive your data by assigning permissions via the group (instead of assigning permissions individually). For example, create a group and grant all members permission to access a private data set before publication. Or create a group of your collaborators so that members can edit each other's data sets.

Add a new group
<% } else { %>
<% } %>

My authentication token

Use your DataONE authentication token to upload data

Your authentication token is a unique string of characters that identifies a person submitting, updating, or accessing data. Copy/paste your authentication token into an application that supports DataONE to manage your account.

Please be careful to safeguard this token. Anyone with access to it can access content in DataONE as you. Be careful to not add this token to any published scripts or documents. This token will expire after a certain time period after which you will need to get a new one here.

Applications that support DataONE authentication tokens

To upload data in the DataONE network: choose a Member Node to host your data and an app that supports DataONE.

See the list of DataONE Member Nodes
DataONE R

The DataONE client for R supports DataONE authentication tokens in its latest 2.0 release. Learn more about DataONE R

Matlab DataONE Toolbox

A Matlab Toolbox that provides functions to interact with data repositories that implement the DataONE service API. The toolbox also includes client-side functions for managing provenance (the history) of derived data products. Learn more