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A: You create a workset by uploading a list of HathiTrust volume IDs to HTRC Analytics or by importing a publicly-viewable collection from HathiTrust. You can read more in the tutorial.
Q: Can I analyze non-HathiTrust data alongside HathiTrust data?
A: Within the HTRC Analytics platform, only in the HTRC Data Capsule environment. HTRC Algorithms function function only on "worksets," which are user-created collections of content from the HathiTrust Digital Library. You can import outside data to your Capsule when it is in maintenance Maintenance mode, though, and work with it within that system. You can also make use of HTRC Extracted Features alongside if you prefer to work on your local desktop only.
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- First, store your Python scripts somewhere on the Internet.
- Start your Capsule from within the Analytics interface, and make sure your machine is in maintenance Maintenance mode.
- Enter your Capsule via Terminal viewer or Remote Desktop viewer.
- Download the Python scripts from the Internet onto your Capsule.
- Switch to secure Secure mode.
- If you know the volume IDs that you are interested, you can go ahead to fetch content of these volumes by using this sample Python script in Fetching Volume OCR Content in HTRC Data Capsule (Secure Modemode).
- Run your Python scripts against the content.
- If you don't have the volume IDs of your interest, you can search for volumes in the HathiTrust Digital Library. You can search by subject, topic, author, year, etc., and identify the volumes of interest and save your chosen volumes as a collection in HathiTrust. From there, you can either use the HTRC Workset Toolkit to load volumes from the collection in your Capsule, or download the collection's metadata to retrieve the volume IDs for the volumes you have selected.
- Once you have the volume IDs ready, you can go ahead to fetch the volume content in Data Capsule secure Secure mode and perform analysis using your Python scripts as mentioned above.
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A: The standard for non-consumptive export depends on the scope and scale of the data analyzed. The general rule-of-thumb is whether the export would create a substitute for human-reading the original text. (The full Non-Consumptive Use Research Policy is also available for your reference.) If you would like someone to pre-review a sample file that would represent the kinds of data you would like to export from a Capsule before you begin your work, please contact htrc-help@hathitrust.org.
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HTRC Data Capsules. Accessed February 16, 2022. https://analytics.hathitrust.org/capsules.
For HTRC Worksets:
Workset authors. "Workset title" (last update year). Workset available on "HTRC Analytics." Access date. URL to workset.
Example:
Lu, Kun, Raina Heaton, Raymond I. Orr. "Native-authored workset" (2022). Workset available on “HTRC Analytics.” Accessed February 20, 2024. https://analytics.hathitrust.org/worksets/researcher806/Native-authored%20workset.
What happened to...?
Q: What happened to the Workset Builder?
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Q: How do I log into HTRC Analytics with my institutional credentials?
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A: Click the blue Sign - In button in the top-right corner of the HTRC Analytics home screen: Begin typing in your institution’s name in the text search box, and select your institution when it appears in the dropdown menu:
Click the blue Continue button when you have found and selected your institution. Upon initial sign-in (and any time you have been fully signed-out of your institution’s platform), you will be redirected to your institution’s login page. Enter your institution’s login credentials. Complete any two-step factor authentication your institution uses. If you are totally new to HTRC, and did not have an account from our old log in system, you will be redirected to an account registration page. Fill in the provided form to successfully create your account. If you had an account from the previous sign in system, you will be prompted to migrate your old account details, or start fresh with a totally new account. You will only be asked to migrate old account details once (please see 'I have a pre-existing account within the old sign-in system. How do I get access to my data from that account in the new system?" below for complete details.) Once completed correctly, you will be fully signed-in to your HTRC account and have access to your profile, Data Capsules, and worksets. |
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A: If your institution is not listed in the dropdown list provided, you will need to create an HTRC-hosted (a.k.a. “local”) account. To do so, click on the “Create an account with HTRC” link at the bottom on the sign-in pop-up:
Fill in the form provided on the following page. If your institutional email is not recognized by our system’s approved account list, you will need to submit a request for institutional account approval before you can create an account.
Once you have successfully created an HTRC local account, you will need to proceed with signing in. To do so, click the “Login with HTRC” link at the bottom of the sign-in pop-up.
Log into your account by entering your newly created HTRC Analytics username and password.
If you had a preexisting account with HTRC, you will have the option to migrate your old account’s data to the new one (please see "I have a pre-existing account within the old sign-in system. How do I get access to my data from that account in the new system?" for full details on how to migrate data). |
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A: Please join the HTRC User Group mailing list.
- Subscribe here: https://list.indianaiu.edu/sympa/info/htrc-usergroup-l
- For questions that you want to discuss with us privately, please write to htrc-help@hathitrust.org, a list subscribed by HTRC internal staff only.
- All users are subscribed to a listserv called HTRC-Announce when they create an HTRC Analytics account. Only approved senders can send mail through this list.
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