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Data Collection

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Data can be collected, organized, and stored in a systematic and structured manner using a data collection. Users are able to make entries into the data collection independently and then filter, analyze, or export the stored data.
Functions
  • Multiple tables can be created.
  • The fields within a table can be formatted in various ways, with the entry of texts, numbers, links, ratings, and other data types being specified.
  • It is possible to set different views. This feature enables administrators to control who can view and edit specific fields and the information that can be accessed.
  • Filters can be defined and set in advance, thus facilitating the search process within the data collection.
  • It is possible to prohibit identical entries.
Use Cases
  • Data collection permits centralized saving and management of links relevant to (online) sources and websites.
  • It is possible to compile bibliographic references in a structured manner for seminars.
  • In order to facilitate research, contact details of relevant institutions, experts, and other organizations can be collected.
  • Workflows can be documented and accompanied.
  • Students can rate each other's entries with a star ranking: In the Law Department at FAU, a database of students  (SEE-Datenbank) was created with the help of a data collection, which documents decision reviews in civil law and civil procedure law. Students may rate the entries according to their relevance for the exam.
Example

Another example of a data collection is the "Sammlung Examensrelevanter Entscheidungen im Zivil- und Zivilprozessrecht (SEE)" ("collection of exam-relevant decisions in civil procedure law") of the service unit "Lehre und Studienberatung" ("Teaching and Student Advice") of the Department of Law (login required).

Data Collection

E-Assessments in der Hochschullehre

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Ein weiteres Beispiel einer Datensammlung ist die "Sammlung Examensrelevanter Entscheidungen im Zivil- und Zivilprozessrecht (SEE)" der Serviceeinheit "Lehre und Studienberatung" des Fachbereichs Rechtswissenschaft (Login erforderlich).
Instructions
  1. To begin, select "Data Collection" from the "Add New Item" drop-down menu.
  2. Subsequently, a new page opens. Select "Option 1: Create New Data Collection". Give the data collection a title and add a description if desired. Click on the "Create Data Collection" button.
  3. Once the data collection has been created, you will be immediately directed to the "Tables" tab. A preliminary table has already been generated with a number of automatically populated fields. This can be deleted via the "Actions"menu.
  4. The "Actions" menu provides the option to edit or delete existing "Fields" within a newly created table, as well as to add new fields. Additionally, the "Views" feature can be utilized to designate which roles (e.g., administrator, user, or anonymous) are permitted to create or modify entries. The "Settings" menu allows the administrator to define the extent of editing privileges granted to users with the "edit settings" permission.
  5. To create a new table, navigate to the "Tables" tab and select the "Add New Table" option. It is possible to add new fields to the table via the "Add New Field" button and to define the authorizations for creating and editing entries via the "Views" tab.
  6. In order to permit users to access the data collection, select the checkmark "Online" in the "Settings" tab.
  7. Click "Save".

ADD A NEW ENTRY (StUDENTs’ VIEW)

  1. In the "Content" tab, students are required to select a table (if several tables have been created) and then add an entry using the "Add New Entry" button.
  2. The relevant fields may be filled in and/or checkboxes may be selected.
  3. Click "Save" to save your entries.
  4. The entries may be edited, deleted, or provided with comments (if activated).
Consult the ILIAS User Documentation for creating and editing data collections

vgl. ILIAS-Benutzerdokumentation für die Erstellung und Bearbeitung von Datensammlungen
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