Exporting a CSV - Arbor
Tip: Streamline your student data management with Intake. Find out more here.
Purpose
This article explains how to export student data only from a Arbor database.
Covers: A detailed instructions on how to export a CSV from your Arbor database. Directing you to KB articles on importing the CSV after you've exported.
This section does not cover: Removing or archiving old borrowers.
When to Do This
Start of academic year, before importing a CSV, moving tutor groups, or removing leavers.
Instructions
Starting Out
- From the main screen of Arbor select 'School' from the menu bar at the top of the page and select 'Custom Report Writer' from the menu.
- Select the green 'Create New Report' button from the top right of the page.
- Select the green 'Create New Report' button from under the 'Create New Report' header.
Creation Wizard
- Set a title and subject for the report (we recommend a title of 'Students') and select the 'Students' radio button.
- Set a date range, you need to import all borrowers currently at the school so ensure that you put a suitable date range to allow all students to be included.
- Set the columns that you wish to be in the file. There are 7 that are mandatory, these are:
- Forename
- Surname
- Date of Birth
- Year Group
- Tutor Group
- Gender
- Some form of unique identifier such as a 'Management System ID' number or an 'Admission number'.
- There are also a number of other optional fields that can be imported such as Address, Email, Logon details and Parent/Guardian details.
- On the left-hand side of the screen you can search for column titles in the search box or scroll through the list and select the columns you need. Drag and drop these into the right-hand side. A slide over may appear after you have added a column, allowing you to set parameters for the column. For example when selecting date of birth you can show only students born between certain dates. Remember that we need all on-roll students so if you choose this do not narrow the search too much. If you change your mind about a column you can press the bin icon on the right to remove it.
- You can reorder the columns but it is not necessary to do so.
- You can sort the columns alphabetically or chronologically, this is also not needed.
- You can also filter the data, as mentioned above the file needs to contain all on-roll students so ensure this filter is applied but no more narrow than this.
- You can also add grouping, this is also not required.
Downloading and Editing
- On the right-hand side select 'Download'.
- From the menu select 'CSV'.
- Once the CSV has been downloaded find it and right click it.
- Select 'Open with' from the menu and select 'notepad'.
- Now you need to change the top line of the CSV so that the library system can understand the data. What fields you have brought across will depend on what you selected in step 3 of the creation wizard. The seven mandatory fields need to read like this:
- 'Forename,Surname,Gender,ManagementSystemID,YearGroup,TutorGroup,DateOfBirth'.
- They do not have to be in any specific order, but they do need to be spelt exactly like this and as you can see, no spaces between the words or after the commas. If you have opted to import any extra data in step 3 of the wizard they will also need to be changed.
- Now save the CSV and close notepad.
When you come to import the CSV file, select the 'WBLS' option when prompted.
Tips
- Ensure that when editing the CSV, the headers are all one word.
- If you have done this in the past, and unsure about which management system ID number you have used, you can check this on the borrowers table and going into a borrower record advance tab. However, with Arbor it is usually the Student ID number used.
How some of our other customers have phrased this
- I need to download new student details from Arbor.
- I’m trying to pull borrower info from Arbor.
- How do I get a CSV of students from Arbor for the library?
- How can I export my new intake for the library system?
Need Some Extra Help
If you are struggling with an issue please let the friendly Reading Cloud Service Team help. If you are using the chatbot and your issue is urgent, just say “Please transfer me for help”. Alternatively if you prefer you can email them with support@reading-cloud.com or give them a call on +44 (0) 330 822 5359.