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SPIDER : Open spatial data infrastructure education network

van Loenen, Bastiaan ; Mansourian, Ali LU and Welle Donker, Frederika (2020) 2020 Ongoing Research, Practitioners, Posters, Workshops, and Projects of the International Conference EGOV-CeDEM-ePart, EGOV-CeDEM-ePart 2020 In CEUR Workshop Proceedings 2797. p.355-358
Abstract

In this 2 hour workshop the experiences of the geographic data domain will be shared with the open data research & education community to promote and strengthen active innovative learning and teaching in both worlds. The domain of geographic data can be considered as one of the front running in open data. Over the past two decades, many geographic datasets in Europe became available as open data through the open [spatial] data infrastructure. Several of the high value dataset categories in the EU Directive on Open data and reuse of Public Sector Information have a geographic component. Teachers in this domain are struggling with the concepts of data ecosystems and data infrastructures presented in the academic literature. A very... (More)

In this 2 hour workshop the experiences of the geographic data domain will be shared with the open data research & education community to promote and strengthen active innovative learning and teaching in both worlds. The domain of geographic data can be considered as one of the front running in open data. Over the past two decades, many geographic datasets in Europe became available as open data through the open [spatial] data infrastructure. Several of the high value dataset categories in the EU Directive on Open data and reuse of Public Sector Information have a geographic component. Teachers in this domain are struggling with the concepts of data ecosystems and data infrastructures presented in the academic literature. A very current discussion is on the exact scope of 'open' spatial data infrastructures (SDIs) (see Vancauwenberghe et al. 2018), in which also nongovernment data and nongovernment actors should be considered as key to the performance of the infrastructure and/or ecosystem. Moreover, teaching methods are still limited to traditional teaching in the classroom. As a consequence, there is barely an international exchange of educational material and approaches on open SDI among universities. In this workshop an overview and detailed analysis of the concepts of open data ecosystems and infrastructures are presented and discussed and existing open data education highlighting good practices of learning, teaching and training in open [spatial] data infrastructures or ecosystems explored.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Learning, Open data education, Teaching methods
host publication
CEUR-WS
series title
CEUR Workshop Proceedings
volume
2797
pages
4 pages
conference name
2020 Ongoing Research, Practitioners, Posters, Workshops, and Projects of the International Conference EGOV-CeDEM-ePart, EGOV-CeDEM-ePart 2020
conference location
Virtual, Linkoping, Sweden
conference dates
2020-08-31 - 2020-09-02
external identifiers
  • scopus:85099241338
ISSN
1613-0073
language
English
LU publication?
yes
id
eefa1c05-5478-44a1-8dee-421d52137cdb
alternative location
http://ceur-ws.org/Vol-2797/paper36.pdf
date added to LUP
2021-01-25 11:26:43
date last changed
2022-04-19 04:14:22
@inproceedings{eefa1c05-5478-44a1-8dee-421d52137cdb,
  abstract     = {{<p>In this 2 hour workshop the experiences of the geographic data domain will be shared with the open data research &amp; education community to promote and strengthen active innovative learning and teaching in both worlds. The domain of geographic data can be considered as one of the front running in open data. Over the past two decades, many geographic datasets in Europe became available as open data through the open [spatial] data infrastructure. Several of the high value dataset categories in the EU Directive on Open data and reuse of Public Sector Information have a geographic component. Teachers in this domain are struggling with the concepts of data ecosystems and data infrastructures presented in the academic literature. A very current discussion is on the exact scope of 'open' spatial data infrastructures (SDIs) (see Vancauwenberghe et al. 2018), in which also nongovernment data and nongovernment actors should be considered as key to the performance of the infrastructure and/or ecosystem. Moreover, teaching methods are still limited to traditional teaching in the classroom. As a consequence, there is barely an international exchange of educational material and approaches on open SDI among universities. In this workshop an overview and detailed analysis of the concepts of open data ecosystems and infrastructures are presented and discussed and existing open data education highlighting good practices of learning, teaching and training in open [spatial] data infrastructures or ecosystems explored.</p>}},
  author       = {{van Loenen, Bastiaan and Mansourian, Ali and Welle Donker, Frederika}},
  booktitle    = {{CEUR-WS}},
  issn         = {{1613-0073}},
  keywords     = {{Learning; Open data education; Teaching methods}},
  language     = {{eng}},
  pages        = {{355--358}},
  series       = {{CEUR Workshop Proceedings}},
  title        = {{SPIDER : Open spatial data infrastructure education network}},
  url          = {{http://ceur-ws.org/Vol-2797/paper36.pdf}},
  volume       = {{2797}},
  year         = {{2020}},
}