BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Sabre//Sabre VObject 4.6.1//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Zurich X-LIC-LOCATION:Europe/Zurich TZURL:http://tzurl.org/zoneinfo/Europe/Zurich BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19810329T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19961027T030000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:news242@researchdata.unibas.ch DTSTAMP;TZID=Europe/Zurich:20260924T084401 DTSTART;TZID=Europe/Zurich:20261029T090000 SUMMARY:Introduction to Research Data Management Using LabKey DESCRIPTION:LabKey [https://www.labkey.org/Documentation/wiki-page.view?nam e=introLabKey] is a customizable scientific data management platform desig ned to help researchers collaboratively organize and manage their data. It brings together diverse types of scientific data into a unified view of y our research\, which can then be explored using built-in analysis and repo rting tools or integrated with third-party applications. It is ideal for g roups looking to transition to a more robust solution when working in Exce l becomes unmanageable. Its API enables scripted data access from language s such as R and Python.This introductory course is designed for participan ts with little to no prior experience with LabKey. Through hands-on exerci ses\, you will explore LabKey's core features and key modules step by step . By the end of the course\, you will be familiar with the core features o f LabKey and be able to navigate and use the platform in your day-to-day r esearch work.\\r\\nContent\\r\\nNavigating LabKey ServerWorking with Lists Collaboration Toolsa. Permissionsb. Wikic. File Browserd. MessageIntroduct ion to Sample Manager\\r\\nMethods\\r\\nCourse materials will be provided in advance on the sciCORE LabKey Collab Server. Teaching methods include i nstructor-led sessions covering the core features of LabKey\, complemented by hands-on exercises with a test dataset to support practical learning a nd application.\\r\\nTarget Group:  All Doctoral Candidates & Postdocs\\r \\nRequirements: No prior knowledge of LabKey is required. Participants ar e required to bring their own laptops.\\r\\n\\r\\nAbout the Trainer\\r\\nE va Pujadas is a senior software engineer and data manager\, holding also a MSc in Human Biology. For the past fifteen years\, she has been working a t sciCORE\, the center for scientific computing at the University of Basel . She has extensive experience in the design\, development\, implementatio n\, and maintenance of data management applications and tools. Her respons ibilities also include providing support to researchers on their data mana gement tasks.\\r\\nAnkit Izardar is an Application Specialist (Data Engine er) at sciCORE and serves as the Service Owner of LabKey. His professional experience spans the implementation of Laboratory Information Management Systems (LIMS) across both academic and industry settings.\\r\\n\\r\\nWork load: Total of 7h\\r\\n\\r\\nRegistration: https://fortbildung.unibas.ch/c ourses/organizer/scientific-tools/introduction-to-research-data-management -using-labkey-303606 [https://fortbildung.unibas.ch/courses/organizer/scie ntific-tools/introduction-to-research-data-management-using-labkey-303606]  \\r\\nDeadline: 1 October 2026\\r\\n \\r\\nFeature\\r\\nOnce registrati on is open\, applications will be collected for 24 hours and course places allocated by lot. All registrations received after the initial 24h period will be put on a waiting list and assigned on a first come\, first served basis.\\r\\nCourse places/places on the waiting list will be confirmed by e-mail. Course registrations can only be canceled before the registration period ends (send an e-mail to grace@unibas.ch). Full course attendance i s mandatory. Participants who fail to attend a course without prior notifi cation or withdraw after the registration deadline are subject to a fee of CHF 30. In addition\, participants who cancel their course registration a t a later point in time\, are absent without an excuse or do not attend th e entire course will\, for reasons of fairness\, not be considered for cou rse registration in the following semester and will be removed from other courses offered in the same semester. Please find the detailed regulations on the Transferable Skills Homepage [https://www.unibas.ch/en/University/ Administration-Services/Vice-President-s-Office-for-Education/Academic-Pro grams/Graduate-Center/Transferable-Skills.html].\\r\\n\\r\\nThis course is organized by sciCORE [https://scicore.unibas.ch/]in collaboration with G RACE [https://www.unibas.ch/en/University/Administration-Services/Vice-Pr esident-s-Office-for-Education/Academic-Programs/Graduate-Center.html]as p art of the Transferable Skills course program [https://fortbildung.unibas. ch/courses/organizer/transferable-skills-20/1]. X-ALT-DESC:

LabKey is a customizable scientific data management platform designed to help researchers collaboratively orga nize and manage their data. It brings together diverse types of scientific data into a unified view of your research\, which can then be explored us ing built-in analysis and reporting tools or integrated with third-party a pplications. It is ideal for groups looking to transition to a more robust solution when working in Excel becomes unmanageable. Its API enables scri pted data access from languages such as R and Python.
This introducto ry course is designed for participants with little to no prior experience with LabKey. Through hands-on exercises\, you will explore LabKey's core f eatures and key modules step by step. By the end of the course\, you will be familiar with the core features of LabKey and be able to navigate and u se the platform in your day-to-day research work.

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Content< /strong>

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  1. Navigating LabKey Server
  2. Working with Lists< /li>
  3. Collaboration Tools
    a. Permissions
    b. Wiki
    c. File Browser
    d. Message
  4. Introduction to Sample Manager
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Methods

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Course materials will be provided in a dvance on the sciCORE LabKey Collab Server. Teaching methods include instr uctor-led sessions covering the core features of LabKey\, complemented by hands-on exercises with a test dataset to support practical learning and a pplication.

\n

Target Group:  \;All Doctoral Can didates &\; Postdocs

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Requirements: No prior kn owledge of LabKey is required. Participants are required to bring their ow n laptops.

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About the Trainer

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Ev a Pujadas is a senior software engineer and data manager\, holdin g also a MSc in Human Biology. For the past fifteen years\, she has been w orking at sciCORE\, the center for scientific computing at the University of Basel. She has extensive experience in the design\, development\, imple mentation\, and maintenance of data management applications and tools. Her responsibilities also include providing support to researchers on their d ata management tasks.

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Ankit Izardar is an Applica tion Specialist (Data Engineer) at sciCORE and serves as the Service Owner of LabKey. His professional experience spans the implementation of Labora tory Information Management Systems (LIMS) across both academic and indust ry settings.

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Workload: Total of 7h

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Registration: https://fortbildung.unibas.ch/courses/organizer/scientifi c-tools/introduction-to-research-data-management-using-labkey-303606&n bsp\;

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Deadline: 1 October 2026

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&n bsp\;

\n

Feature

\n

Once registration is open\ , applications will be collected for 24 hours and course places allocated by lot. All registrations received after the initial 24h period will be pu t on a waiting list and assigned on a first come\, first served basis.

\n

Course places/places on the waiting list will be confirmed by e-mail. Course registrations can only be canceled before the registration period ends (send an e-mail to grace@unibas.ch). Full course attendance is mandat ory. Participants who fail to attend a course without prior notification o r withdraw after the registration deadline are subject to a fee of CHF 30. In addition\, participants who cancel their course registration at a late r point in time\, are absent without an excuse or do not attend the entire course will\, for reasons of fairness\, not be considered for course regi stration in the following semester and will be removed from other courses offered in the same semester. Please find the detailed regulations on the Transferable Skills Homepage.

\n \n

This course is organized by sciC ORE in collaboration with GRACE as part of the Transferabl e Skills course program.

DTEND;TZID=Europe/Zurich:20261029T160000 END:VEVENT END:VCALENDAR