LibInsight @ FIU

The ACRL dataset allows you to enter and store the data that you provide to the annual ACRL Survey. This makes it a snap to not only analyze your data from year to year but also to compare your data to the responses from other LibInsight libraries.

The Counts/Aggregate dataset is the best way to record and analyze data in a tabular format. This type of dataset is ideal when you want to gather and record daily, monthly, or yearly totals for something. Unlike a Custom dataset, where records are analyzed based upon each record's timestamp, records in the Counts/Aggregate dataset area analyzed by the day, month, or year you provide.

Creating datasets in LibInsight isn't just for Admins anymore! If you are a regular level user in LibInsight and you would like to learn more about creating datasets, this session is for you.

Set up a custom dataset with the appropriate time stamp and data fields.

In this course, you'll learn to set up and use a Counts / Aggregate Dataset. This dataset type is for recording and analyzing data in a tabular format and is ideal for when you want to gather and record daily, monthly, or yearly totals. Unlike a Custom dataset, where records are analyzed based upon each record's timestamp, records in the Counts / Aggregate dataset area analyzed by the day, month, or year you provide.

In this course, you'll learn to set up and manage a Shared Dataset. Shared Datasets can be used to store data for a wide variety of uses and allows you to invite contributions from other systems with the full version of LibInsight. In addition to configuring the dataset and its fields, this course also covers recording data, analyzing data, and managing records. You'll also learn about comparing data from one dataset to another and ways for data to be added to the dataset outside of LibInsight.

Whether you subscribe to LibInsight Lite or are interested in making use of the Custom Dataset in the full version of LibInsight, this session is for you! Custom datasets allow you to design your own dataset from scratch, allowing you to analyze data for just about anything. You define the type of date/time stamp to use, as well as the different types of fields.

If you find that you regularly add the same or similar records over and over, pre-defined entries can be a huge time saver. You can think of these as templates for new records that pre-fill some or all of your fields. For a reference dataset, you could create pre-defined entries that automatically fill in fields based upon the types of questions asked. A pre-defined entry for directional questions could automatically select a question type, question location, length of time, etc. You would just need to manually fill out any additional details you think are important, such as internal notes.

If you no longer want a user to have access to your LibInsight system

If you rename a field option in a Custom dataset or Reference dataset (only Reference datasets configured to record individual transactions), that change will not automatically be reflected in your existing records. You would need to update each record individually to use the new option, or you could use the Search & Replace Records tool to do it in bulk.

Custom datasets allow you to design your own dataset from scratch, allowing you to analyze data for just about anything! You define the type of date/time stamp to use, as well as the different types of fields (such as text entry, checkboxes, radio buttons, etc.). The distribution of responses in each field can be analyzed, as well as your dataset's overall distributions and trends over time.

The Field Analysis report provides you with an in-depth look at the responses for individual fields.

define the type of date/time stamp to use, as well as the different types of fields (such as text entry, checkboxes, radio buttons, etc.). The distribution of responses in each field can be analyzed, as well as your dataset's overall distributions and trends over time.

In this course, you'll learn to set up and manage a Custom Dataset. Custom Datasets can be used to store data for a wide variety of uses, including data that does not fit into a specialized dataset type. In addition to configuring the dataset and its fields, this course also covers recording data, analyzing data, and managing records. You'll also learn about comparing data from one dataset to another and ways for data to be added to the dataset outside of LibInsight.

To record data to a dataset, click on Record Data in the command bar.

For any dataset that allows you to upload data, LibInsight will keep track of each uploaded file in the dataset's Uploads List. From here, you can download a local copy of the file, or delete the file (and its data) from your dataset.

Explore field types available to add to datasets, along with their display options.

Want to have all of your library instruction data in one easy-to-access location? Would you like to create beautiful live dashboards of your data to share with administrators and staff? LibInsight has you covered!

Learn how to configure, record data, and analyze data in various LibInsight datasets through short videos.

Each dataset has granular user permissions for regular level users, while admins have access to all datasets.

Add data manually to Custom datasets, Shared datasets, or Reference datasets configured for individual transactions.

Consider dataset options and any existing data before creating a Custom, Shared, or Reference dataset for individual transactions.

Update recorded text values in a dataset through a bulk operation.

Create templates that prefill select fields and text values when entering records in a dataset.

Shared datasets are custom datasets that allow you to collaborate with other libraries using LibInsight.

Learn how to create datasets for your LibAnswers and LibGuides data using LibInsight. Analyze your data at a high level, compare it to other data you are collecting, and present it in dashboards.

Learn how to locate, access, and contribute to the ACRL Annual Survey Dataset. Managed by Springshare, this Shared dataset makes it easy for any institution with the full version of LibInsight to track the data they report annually for their institution to the official ACRL dataset. This dataset also allows you to compare statistics with other participating institutions and conduct cross tab analysis with other datasets in your site.

If you're using LibWizard, you're collecting lots of information that can be collected and analyzed in more depth in LibInsight. In this short session, learn how to add LibWizard reports to LibInsight for better analysis.