BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CROSSDA - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.crossda.hr
X-WR-CALDESC:Događaji za CROSSDA
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Zagreb
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230117T110000
DTEND;TZID=Europe/Zagreb:20230117T180000
DTSTAMP:20260505T104903
CREATED:20250325T164747Z
LAST-MODIFIED:20250408T123653Z
UID:2657-1673953200-1673978400@www.crossda.hr
SUMMARY:Teaching with census data
DESCRIPTION:Census 2021 will provide demographic\, employment\, housing and other characteristics about local populations at neighbourhood level. This free workshop is designed to enable those teaching undergraduate students to use this local material to explore substantive questions related to their discipline. The aims of the workshop are to enable participants to be able to: \nAppreciate the geography of local areas and the data that is provided from the census.Be able to access\, prepare and present census data.Develop appropriate exercises for students to engage in practical exploration\, analysis and reporting on substantive topics of interest. \nThe workshop will use Microsoft Excel software and provide supporting materials to enable students to develop basic skills in data analysis and reporting the results in charts and tables. \nThe workshop will also outline more advanced techniques to combine other neighbourhood-based information and prepare materials to combine with GIS software to produce maps. \nPresenter: Nigel de Noronha\, UK Data Service (University of Manchester)
URL:https://www.crossda.hr/event/teaching-with-census-data/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230119T110000
DTEND;TZID=Europe/Zagreb:20230119T180000
DTSTAMP:20260505T104903
CREATED:20250313T105022Z
LAST-MODIFIED:20250408T123708Z
UID:2136-1674126000-1674151200@www.crossda.hr
SUMMARY:Safe Researcher Training
DESCRIPTION:This Safe Researcher Training (SRT) course is intended for researchers who will be\, or are in the process of\, applying for access to controlled data in the UK Data Service Secure Lab. It is also suitable for researchers who will be accessing controlled data in other secure environments\, such as the ONS Secure Research Service or HMRC Datalab\, where the requirements of access mandate attendance on a Safe Researcher Training course. It is not suitable for inexperienced researchers whose project applications are unlikely to be approved\, such as undergraduates applying for dissertation projects. \nResearchers who are applying for Accredited Researcher (AR) status to access data through legal gateways\, such as the Digital Economy Act (DEA)\, must attend and pass this course before they can be awarded AR status. \nThis course covers: \nData security and personal responsibility\, including legal and procedural breaches and penalties\, and the ‘5 Safes’ security model.Statistical Disclosure Control – how to make statistical outputs safe for release and the principles employed.Using the Secure Lab – how to use the environment efficiently and effectively (includes preparation of data imports and statistical outputs). \nResearchers who attend the course will be sent a link after the training to complete an online assessment. Access to Secure Lab will only be granted to researchers who successfully pass the assessment and complete the rest of the application process. \nTo request to attend this session\, please contact secure.training@ukdataservice.ac.uk. When submitting your request\, please specify in the email if you currently fall into one or more of the below categories: \nApplying for AR status through the ONS Research Accreditation Service.Applying\, or preparing an application\, to access controlled data in the UK Data Service Secure Lab.Applying to access controlled data in the ONS Secure Research Service.Applying to access controlled data in the HMRC Datalab.Applying to access controlled data through Administrative Data Research UK (ADR-UK). \nWe will be verifying the information you provide with the relevant service(s). If you do not fall into the above categories\, you can still request a place but this will be chargeable.
URL:https://www.crossda.hr/event/safe-researcher-training/
END:VEVENT
END:VCALENDAR