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DTSTART;TZID=Europe/Zagreb:20220603T090000
DTEND;TZID=Europe/Zagreb:20220603T163000
DTSTAMP:20260505T174708
CREATED:20250313T105120Z
LAST-MODIFIED:20250408T123808Z
UID:2159-1654246800-1654273800@www.crossda.hr
SUMMARY:Data Spaces & Semantic Interoperability
DESCRIPTION:The continuously increasing number of data spaces and data markets in Europe\, as well as the related funding lines and regulations by the European Commission (for instance the Data Governance Act and several programme lines in Horizon Europe and Digital Europe) regarding the topics of (secure) data sharing of industrial and personal related data as well as research data clearly shows the increasing need to discuss\, specify and realise (semantic) data interoperability between such data spaces and beyond. \nA discussion about (semantic data) interoperability for data spaces includes (i) data space use cases\, (ii) requirements for interoperability\, (iii) existing and new standards in the field and (iv) technical solutions in place and in development\, (v) working and proven tools & technologies\, as well as (vi) legal issues and licenses\, besides other topics. \nThe assumption is that the concept of a data space as defined in IDSA and W3C‘s work on Linked data are complementary. IDSA is a big user of Linked data specifications and complements them with “connectors” to legacy systems. While W3C provides vocabularies like ODRL for constraints and provenance for data quality\, an IDSA data space has a concrete instance of those vocabularies specifying what can be done in a data space\, how data is shared and which limitations and obligations apply. \nThis one-day workshop brings together researchers\, decision makers and practitioners in the field of the development and operation of European data spaces\, data markets and other web-based data management systems that allow data sharing\, trading and data collaboration\, to discuss requirements\, standards\, tools\, licenses and more regarding (semantic data) interoperability in data spaces.
URL:https://www.crossda.hr/event/data-spaces-semantic-interoperability/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220607T120000
DTEND;TZID=Europe/Zagreb:20220607T133000
DTSTAMP:20260505T174708
CREATED:20250313T105137Z
LAST-MODIFIED:20250408T123823Z
UID:2162-1654603200-1654608600@www.crossda.hr
SUMMARY:Mapping crime data in R: An Introduction to GIS and spatial data
DESCRIPTION:Do you want to display crime data on maps but don’t know how? Crime data often contains spatial components. As a result\, analyses of crime data can create patterns that are clearly linked to geography. Naturally\, putting the data or analysis on a map makes a lot of sense. Unfortunately\, if you have never matched statistical data to spatial data then you may not know how easy it can be to make beautiful data maps! That’s where this workshop comes in! \nThis is the first of two free Mapping crime data in R workshops. This session will cover some fundamental theories and concepts surrounding GIS and spatial data. The second will be a live code demonstration using R to explore these concepts. \nThe aim of these workshops are to teach participants to use the R statistical and graphical environment to map open-source police recorded crime statistics onto geographic representations. \nMore specifically\, we will: \nuse R packages such as ggplot\, sf and tmaps\,briefly explore open-source crime data using Surrey as an example\,introduce how to download\, import and use spatial data in the form of shapefiles\,demonstrate how to join crime data to shapefiles\,introduce classification methods\,use census data to accurately map crime rate. \nWe will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this\, such as a smartphone. \nPresenter: Nadia Kennar\, UK Data Service \nEvent Level: Beginner \nPrerequisites: This workshop is suitable for intermediate (or higher) users of R but there is need to have experience with GIS software or spatial data. Users should be comfortable with how to set the working directory in R\, how to read in data\, how to write basic R functions and how to save scripts and output files. R and Rstudio must be already installed. \nTarget Audience: Researchers/anyone interested in crime and spatial data
URL:https://www.crossda.hr/event/mapping-crime-data-in-r-an-introduction-to-gis-and-spatial-data/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220608T120000
DTEND;TZID=Europe/Zagreb:20220608T133000
DTSTAMP:20260505T174708
CREATED:20250313T105136Z
LAST-MODIFIED:20250408T123823Z
UID:2161-1654689600-1654695000@www.crossda.hr
SUMMARY:Mapping crime data in R: Live code demonstration
DESCRIPTION:Do you want to display crime data on maps but don’t know how? Crime data often contains spatial components. As a result\, analyses of crime data can create patterns that are clearly linked to geography. Naturally\, putting the data or analysis on a map makes a lot of sense. Unfortunately\, if you have never matched statistical data to spatial data then you may not know how easy it can be to make beautiful data maps! That’s where this workshop comes in! \nThis is the second of two free Mapping crime data in R workshops. The first session will cover some fundamental theories and concepts surrounding GIS and spatial data. This session will be a live code demonstration using R to explore these concepts. \nThe aim of these workshops are to teach participants to use the R statistical and graphical environment to map open-source police recorded crime statistics onto geographic representations. \nMore specifically\, we will: \nuse R packages such as ggplot\, sf and tmaps\,briefly explore open-source crime data using Surrey as an example\,introduce how to download\, import and use spatial data in the form of shapefiles\,demonstrate how to join crime data to shapefiles\,introduce classification methods\,use census data to accurately map crime rate. \nPresenter: Nadia Kennar\, UK Data Service \nEvent Level: Beginner \nPrerequisites: This workshop is suitable for intermediate (or higher) users of R but there is need to have experience with GIS software or spatial data. Users should be comfortable with how to set the working directory in R\, how to read in data\, how to write basic R functions and how to save scripts and output files. R and Rstudio must be already installed. \nTarget Audience: Researchers/anyone interested in crime and spatial data
URL:https://www.crossda.hr/event/mapping-crime-data-in-r-live-code-demonstration/
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