Video Tutorial
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1. Registering an Account
An introduction to the BOLD Student Data Portal website. This video provides an overview of the system and describes how to register and create a course. |
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2. Submitting Data
This video follows the submission of a DNA barcode record from the specimen data all the way to the sequence. It focuses on the student interface, but it allows instructors to follow the steps students will need to undertake in order to create their records. |
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3. Overseeing a course
This video provides an overview of the tools available to instructors to monitor student work and participation. It also describes the steps needed in validating and approving student-generated data for publication on BOLD and GenBank. |
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The Instructor Console enables instructors to register their courses, compile a roster of student contributors, create a destination folder for specimen and sequence data, monitor student progress, annotate student data, and inspect student-generated data for accuracy.
Registering an Instructor Account
New instructors may create a BOLD-UNI account by visiting the Instructor Login page and choosing the 'Create Instructor Account' button.
Please note: Standard BOLD accounts cannot log in to BOLD-UNI. If you already have a standard BOLD account, you must use a new email address to sign up for a BOLD-UNI instructor account. If you no longer need your BOLD account and would like to convert it to a BOLD-UNI account, please contact us at uni@boldsystems.org.
Figure 3-1: Login screen for instructors, which can be accessed from the BOLD-UNI homepage by clicking on the instructors link.
Figure 3-2: Creating a new BOLD-UNI instructor account
Registering a Course
Each course must be registered independently with a unique course title. If the same course is being taught in different semesters, semester information should be included in the name to disambiguate the classes. The registration process involves the entry of institution and course information, as well as student names and email addresses (strict adherence to privacy policies is assured).
Figure 3-3: Registering a new course on BOLD-UNI
Collaborating instructors for courses can be chosen at this step, but instructors must already be registered with instructor logins through BOLD-UNI. Co-instructors have the same level of access to student data as the primary instructor.
Once registered, the instructor will be provided with student login information for the course. Every student within that course will use the same account information (username and password) to access the site and to submit/analyze their data. The use of a single account simplifies the management of accounts for instructors, without compromising their ability to track contributions made by individual students.
Course Management
Once a course has been registered, instructors can select Course Management on the Instructor landing page to view the following details for each course: course information, a list of students, and the barcode records the students are in the process of generating.
Figure 3-4: Landing page for instructors after logging in. From this page it is possible to Register a New Course or go directly Course Management, where instructors can monitor student work in existing courses.
Management Console
Figure 3-5: Management console for instructors. From this page instructors can monitor and validate student work from multiple courses. A logging system keeps track of the work students are doing and displays it on the activity wall
Course Information
Figure 3-6: Course information popup. Clicking on Course Info next to a course will display course summary and a list of each student’s progress. Through this popup you can also add students, write an email message to all students or generate reports based on student participation.
Course Record List
Figure 3-7: This interface provides a list of the taxonomy, Sample IDs, Process (BOLD) IDs, sequence lengths, and record flags for all the records in the course. The record flags are defined in a legend on the page. Each Sample ID and Process ID are linked to a specimen page and a sequence page, respectively. When more than 3 records with sequences have been submitted for a given course, a range of analysis tools is also available in the left menu.
Specimen Page
Figure 3-8: This pop-up page provides an overview of the submitted specimen data for the record including identifiers, taxonomy, specimen details, geography, collection location, and specimen images. Under the Contributors section of this page, attribution data includes a list of students and their contribution to the generation of the record. An instructor may annotate specimen records, by adding comments through the "Add Tags and Comments" in the Annotation section.
Sequence Page
Figure 3-9: This pop-up page displays the nucleotide sequence, amino acid sequence, illustrative barcode, raw trace files, primer information, and sequence quality for the genetic data generated from the specimen. An instructor may annotate specimen data elements by adding comments through the "Add Tags and Comments" in the Annotation section.
Approving Student Work
Before student-generated records can be added to the BOLD library and sent to GenBank, they must be approved by an instructor and submitted for additional data validation by BOLD-UNI administrators. The Course Management console shows the records queued for instructor review from all courses in the section called "Record Approval Queue".
Analysis Tools
It is recommended that instructors utilize the built-in analysis tools provided by the BOLD-UNI to help confirm the quality of the records assembled by their students. These tools can provide further insights into the quality of the records as they allow all records in a course to be compared at once, which could include highlighting errant records (such as a taxonomic mis-identification found via using the ID Engine). The analysis tools are available from each course record list. Below is a brief overview of the analysis tools available for instructors to use on the barcode records in each course they manage:
- Barcode Gap Analysis
Determines the distance to the nearest neighbour for each species, where distance is a measure of sequence similarity. Distances between specimens of the same species will tend to be much smaller than distances between different species, since larger distances indicate higher sequence divergence.
- Alignment Browser
Visualizes how the sequences of a project are aligned together.
- Accumulation Curve
Estimates how diverse and complete collection efforts for a certain site have been. A steeper curve suggests high diversity, not yet included in the data being analyzed. Curves with flat tops indicate that most species have been collected from that site.
- ID Engine
Queries the existing database for nearest matches.
- Taxon ID Tree
Illustrates how the specimens in the project cluster together based on their sequence similarity, with horizontal lines in the tree indicating how similar sequences are to each other.
- Map Collection Sites
Provides a Google Earth image with mapped collection sites
- Image Gallery
Creates a library of selected specimen images. By default, a single image is picked for each specimen in the course. You may click on images to zoom in a new window.
In the Record Approval Queue, instructors can quickly access an overview of the record, including the number of images and trace files uploaded and the sequence length and quality. Instructors may carefully examine each Specimen (using the Sample ID) and Sequence (using the sequence link) page to ensure that there are no mistakes and that the record meets data compliance standards. If the record does not meet standards for approval, the instructor may annotate individual specimen and sequence pages to provide feedback and guidance to their students.
- To approve a record, and forward it to the next step in the validation process, instructors can click on the green check mark in the validation column. This adds the record to a BOLD-UNI administration queue, which allows project leaders and members of the scientific community to vet these student-generated barcode records before moving them to the BOLD researcher workbench and submitting corresponding nucleotide sequences for publication in GenBank. The green check mark will not be available to click unless the record meets the basic requirements for specimen and sequence quality and completeness.
- If a record is unable to be completed, or is of low quality, instructors can remove it from the BOLD-UNI by clicking on the red x in the validation column. This permanently deletes the entire record and audit trail from the BOLD-UNI, so should only be used when a record is no longer needed for course grading. There is a confirmation message pop-up that requests a confirmation before a record is deleted.
- Should a record need further work by the students, it should be left in the Record Approval Queue until it meets the criteria to be validated.
Queued Records List
Figure 3-10: Queued records awaiting instructor approval before being sent to an BOLD-UNI administrator.
Assigning Funders
Figure 3-11: While approving a record using the green checkmark, instructors can add the name of a funder or funding institution to their record.
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