Theses and Dissertation Remediation Project
These procedures outline the process for inventorying, barcoding, and batch cataloging approximately 22,000 Theses, Dissertations, and Plan Bs in the USU University Archives. It includes instructions for doing a shelf inventory, assigning barcodes and call numbers, verifying data, assigning one of three specific batch workflows (Merge (no overlay), Merge (with Overlay), and Original cataloging) and provides step by step instructions for each of the batch workflows.
Tools Needed
Sierra (local catalog)
Airtable
OCLC Connexion
MarcEdit
Excel
Barcodes and Barcode Scanner
Label Printer
RFID Tags
Quick Navigation
- 1 Tools Needed
- 2 Quick Navigation
- 2.1 Data Collection Process
- 2.2 Procedure 1: Shelf Inventory
- 2.2.1 Collection Sign Up and Tracking
- 2.2.1.1 Sign Up For A Collection
- 2.2.1.2 Completed Collections
- 2.2.1.3 Daily Tracking
- 2.2.2 Procedure 1 Process
- 2.2.2.1 Procedure 1: Known Oddities
- 2.2.2.1.1 Plan B Bound-withs
- 2.2.2.1.2 More than one copy or volume of item
- 2.2.2.1.3 Cover has a different title than the title page
- 2.2.2.1.4 More than one entry in Airtable
- 2.2.2.1.5 Thesis is from a different University
- 2.2.2.1.6 Thesis has more than one author
- 2.2.2.1 Procedure 1: Known Oddities
- 2.2.3 Statistics for Procedure 1
- 2.2.1 Collection Sign Up and Tracking
- 2.3 Procedure 1a: Quality Control for Shelf Inventory
- 2.4 Procedure 1b: Assigning Call Numbers
- 2.5 Procedure 1c: Print Labels
- 2.5.1 Print Labels Using PDF
- 2.5.2 Batch Printing Labels
- 2.5.3 Statistics for Procedure 1c
- 2.6 Procedure 1d: Attach RFID tags
- 2.7 Procedure 1e: Review Numbering and Attach Labels (use only when directed)
- 2.8 Procedure 2: Verifying Sierra and OCLC Records
- 2.9 Procedure 3 - Final Quality Control
- 2.10 Procedure 4 - Batch Record Creation and Importing
- 2.10.1 Thesis Batch Merge Processes (with and without overlay)
- 2.10.2 I. DETAILED PROCEDURE FOR MERGE (with no overlay) workflow
- 2.10.3 II. Detailed Procedures for OVERLAY (with Merge) workflow
- 2.10.4 III.Thesis Batch ORIGINAL Processes
- 2.10.4.1 General Workflow:
- 2.10.4.2 MarcEdit additions to include for Original Record Process
- 2.10.4.3 Detailed Procedures for Original workflow:
- 2.10.4.4 Statistics for Procedure 4
- 2.10.5 Final procedure 5 for project clean up:
- 2.10.5.1 Cleanup workflow A. MICRO FORM THESES bib with only a MICRO FORM THESES item record attached
- 2.10.5.2 Cleanup Workflow B: Sierra has 1 new Theses Remediation Project bib (with more than 1 item):
- 2.10.5.3 Cleanup workflow C. If there’s 1 bib and it is NOT a Theses Remediation Project or edited MICRO FORM THESES only bib:
Data Collection Process
Export all USU theses records (in any format) from Sierra into an excel sheet [expand on this]
Sort the records into years
Clean and reorder Excel sheet by:
Copy and pasting all records for a year (or decade, if there are sparse records for the year) into a new tab on the spreadsheet, including column labels
Change column order to match Airtable “Next Batch Add” view
Delete the 100 field column
Combine the Birth and Death years into one column, add in the correct punctuation, delete individual columns for years
Isolate the OCLC number
Isolate the titles
Copy the 245 to the very end of the spreadsheet
Split off 245 c by using the text to column, with a delimiter of “/”. Review to make sure it split at the appropriate place. Correct any issues (|c not moved over or “/” was part of the title)
Remove the ending period using the following formula: =IF(RIGHT(A2,1)=".",LEFT(A2,LEN(A2)-1),A2)
Trim the leading/ending spaces with =TRIM([insert cell #])
Scan and review for errors (leave strange text, it will be reviewed and corrected during Procedure 1)
Copy the column and paste back into the original 245 space using paste->value
Split the 502 into Theses Type, Department, Degree Type, and University Name
Theses Type
Use Text to Columns with a delimiter of “(“ to isolate the theses type
Scan and review for errors/issues and consistency with the controlled vocabulary in Airtable
Where found, correct if obvious, or select a default of “Thesis” (this will be reviewed in Procedure 1)
Copy and paste into “Theses Type” column after the Year
Degree Type
Highlight the column with the remaining text (from the previous step)
Use Text to Column with a delimiter of “)” to split out the degree
Review the degrees and correct typos or punctuation errors. Match against the controlled vocabulary in Airtable
Copy and paste into a new “Degree” column after the “Theses Type” column
Department (Note, if the 690 field is consistently applied for the batch, it is a better option for isolating the Department name than the 502.)
Highlight the column with the remaining text (from the previous step)
Delete the double dashes, University name and the phrase “Dept. of “ from the text strings using find and replace the text string
Use Text to Column with a delimiter of “,” to split out the year from the department
Review the department names for spelling errors or extraneous text
Copy and paste into a new “Department column after the the “Degree” column
Add a column after “Department” and input the university name at the time the theses was issued. (See University Name changes for dates.)
Delete all the unneeded work columns at the end of the spreadsheet
Adjust the 300 field
Replace "?eaves" or “ eaves” to "leaves"
Copy field to end of spreadsheet
Use text to columns with a delimiter of “;” to split off the |c. Verify that only the height information was split off, then delete this column (it is automatically applied in Airtable)
Use text to columns with a delimiter of “:” to split off the |b wherever present
Copy the controlled vocabulary for |b from Airtable and copy and paste to each occurrence OR in the next column, use the formula =IF(A2<>"",":$billustrations") and remove all the “FALSE” returns with a find and replace
Split off any extra informaiton (such as maps, CDs) into the Extra Objects column
Copy each into separate column that matches Airtable in order
Ensure each subfield matches the spelling, punctuation, and spaces for the controlled vocabulary in Airtable (if relevant)
Add columns for 500-2, 533, 590-1, 590-2, 690-2, 690-3, and 690-4 immediately after the Illustrations column, copy over relevant info. Note that the following information is NOT copied over into the new fields:
“Library’s copy on microfilm”
USU ETD
Department statements
Note that the columns from 500 on may be out of order if there is an extra note or field. Look at later columns to identify if that information should be moved to the left.
Dedupe records (this can also take place before step 3, if desired).
Sort and resort by different criteria (title, author, etc.) and scan for duplications
Use the conditional formatting to highlight all duplicates in the combined author name
Use the conditional formatting to highlight all the "z" in the material type
If duplicates are found, Preference for a or t records, then b, then z
Once finished, copy into Airtable
Routinely or after each data load into Airtable, run a dedupe process and scan for potential duplicates
Once finished, go to the Sign-Up tab and change the following for the year(s) that were just loaded:
Pre-processing (Barcoding) Status: from “Hold off” to “Unclaimed”
Last Completed Step: from “In Queue” to “Title List Loaded”
Procedure 1: Shelf Inventory
Collection Sign Up and Tracking
Please note that tracking will need to happen in two places because the Theses Project is part of the larger “Barcoding” project and needs to be reported in both the Barcoding Tracking, Issues, and Stats AND the Thesis Data Pull bases. Please fill out both of these bases, as noted below.
Sign Up For A Collection
Go to the Airtable base “Barcoding Tracking, Issues, and Stats”
Click on the “Sign Up” tab
Collections are organized by year. Reserve a collection by
Selecting a name in the “Name” column
Changing the Current Status to “In Progress”
Enter a date in the “Date Assigned” column
Go to the Airtable base “Thesis Data Pull”
Click on the Sign up tab.
Collections are organized by year. Sign up for a collection by
Selecting your name in the Pre-processing assigned to field
Fill in the Pre-processing started