paper.bib

@article{Zuiderwijk2014,
abstract = {Open data ecosystems are expected to bring many advantages, such as stimulating citizen participation and innovation. However, scant attention has been given to what constitutes an open data ecosystem. The objective of this paper is to provide an overview of essential elements of open data ecosystems for enabling easy publication and use of open data. To achieve this objective, the literature has been reviewed and a scenario about the publication and use of open data has been analyzed. It was found that various applications, tools and portals are available which together can form an ecosystem. The best functionalities of this ecosystem can be selected and utilized by open data providers and users. To create an open data ecosystem at least four key elements should be captured, namely, 1) releasing and publishing open data on the internet, 2) searching, finding, evaluating and viewing data and their related licenses, 3) cleansing, analyzing, enriching, combining, linking and visualizing data and 4) interpreting and discussing data and providing feedback to the data provider and other stakeholders. Furthermore, to integrate the ecosystem elements and to let them act as an integrated whole, there should be three additional elements 5) user pathways showing directions for how open data can be used, 6) a quality management system and 7) different types of metadata to be able to connect the elements.},
author = {Zuiderwijk, Anneke and Janssen, Marijn and Davis, Chris},
doi = {10.3233/IP-140329},
issn = {18758754},
journal = {Information Polity},
number = {1-2},
pages = {17--33},
title = {{Innovation with open data: Essential elements of open data ecosystems}},
volume = {19},
year = {2014}
}
@article{Team2018,
author = {Team, R Core},
title = {{R: A Language and Environment for Statistical Computing}},
year = {2018}
}
@article{Chang2015,
author = {Chang, Winston and Cheng, Joe and Allaire, Joseph J and Xie, Yihui and McPherson, Jonathan},
journal = {R package version 0.11},
number = {4},
pages = {106},
title = {{Shiny: web application framework for R}},
volume = {1},
year = {2015}
}
@article{Wickham2014,
author = {Wickham, Hadley},
journal = {Journal of Statistical Software},
keywords = {data cleaning,data tidying,r,relational databases},
number = {10},
title = {{Tidy Data}},
volume = {59},
year = {2014}
}
@article{Janssen2012,
abstract = {In this article, based on data collected through interviews and a workshop, the benefits and adoption barriers for open data have been derived. The results suggest that a conceptually simplistic view is often adopted with regard to open data, which automatically correlates the publicizing of data with use and benefits. Also, five "myths" concerning open data are presented, which place the expectations within a realistic perspective. Further, the recommendation is provided that such projects should take a user's view. [PUBLICATION ABSTRACT]},
author = {Janssen, Marijn and Charalabidis, Yannis and Zuiderwijk, Anneke},
doi = {10.1080/10580530.2012.716740},
isbn = {1058-0530},
issn = {10580530},
journal = {Information Systems Management},
number = {4},
pages = {258--268},
pmid = {25246403},
title = {{Benefits, Adoption Barriers and Myths of Open Data and Open Government}},
volume = {29},
year = {2012}
}
@article{carolan2015can,
  title={How can we improve agriculture, food and nutrition with open data},
  author={Carolan, Liz and Smith, Fiona and Protonotarios, Vassilis and Schaap, Ben and Broad, Ellen and Hardinges, Jack and Gerry, William},
  journal={London, UK: Open Data Institute},
  year={2015}
}