Open Data Literacy by Remote: Hiccups and Lessons

Open Data are published to ensure the creation of value and data exploitation, but limited technical skills are a critical barrier. Most users lack the skills required to assess data quality and its fitness to use, awareness of open data sources, and what they can do with the data. To advance the dialogue around methods to increase awareness of Open Data, improve users’ skills to work with them, and deal with the requirement of letting future citizens develop data and information literacy according to 21st-century skills, this article proposes a series of workshops to let Italian high school learners familiarise themselves with effective communication based on Open Data. The article describes an ongoing activity, reporting preliminary results on engagement and learning. We discuss challenges in engaging learners remotely and the promising learning outcomes achieved by overcoming cultural and technical barriers to visualise Open Data.

Content

Author and article information

Contributors

Alessia Antelmi

Maria Angela Pellegrino

Conference

Publication date (Print): July 2022

Pages: 1-5

Affiliations

[0001]Dipartimento di Informatica

Università degli Studi di Salerno

Article

DOI: 10.14236/ewic/ODAK22.7

SO-VID: 2b6b850a-e033-4378-a82d-fe9b7a1b4456

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the Symposium on Open Data and Knowledge for a Post-Pandemic Era ODAK22, UK

Conference acronym: ODAK 2022

Conference number:

Conference location: Brighton, UK

Conference date: June 30-July 1, 2022

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Open Data and Knowledge for a Post-Pandemic Era

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/ODAK22.7

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

C. M Chan 2013 From open data to open innovation strategies: Creating e-services using open government data ‘2013 46th Hawaii International Conference on System Sciences’, IEEE 1890 1899
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M SaddiqaM KirikovaR MagnussenB LarsenJ. M Pedersen 2019 ‘Enterprise architecture oriented requirements engineering for the design of a school friendly open data web interface’ Complex Systems Informatics and Modeling Quarterly 21 1 20
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I SushaǺ GrönlundM Janssen 2015 ‘Driving factors of service innovation using open government data: An exploratory study of entrepreneurs in two countries’ Information polity 20 1 19 34

Comments

Comment on this article

[1] C. M Chan 2013 From open data to open innovation strategies: Creating e-services using open government data ‘2013 46th Hawaii International Conference on System Sciences’, IEEE 1890 1899

[2] M Frické 2019 ‘The knowledge pyramid: the DIKW hierarchy’ Knowledge Organization 46 1 33 46

[3] M Gascó-HernándezE. G MartinL ReggiS PyoL. F Luna-Reyes 2018 ‘Promoting the use of open government data: Cases of training and engagement’ Government Information Quarterly 35 2 233 242

[4] M JanssenY CharalabidisA Zuiderwijk 2012 ‘Benefits, adoption barriers and myths of open data and open government’ Information systems management 29 4 258 268

[5] S Krstevska 2021 ‘Interpreting data visualizations: The basics’ [Online, last access April 2022]. URL: https://guides.zsr.wfu.edu/interpretdataviz

[6] E. G MartinG. M Begany 2017 ‘Opening government health data to the public: benefits, challenges, and lessons learned from early innovators’ Journal of the American Medical Informatics Association 24 2 345 351

[7] E. G Martin., N HelbigG. S Birkhead 2015 ‘Opening health data: what do researchers want? early experiences with new york’s open health data platform’ Journal of Public Health Management and Practice 21 5 E1 E7

[8] J Ocumpaugh 2015 ‘Baker rodrigo ocumpaugh monitoring protocol (bromp) 2.0 technical and training manual’ New York, NY and Manila, Philippines: Teachers College, Columbia University and Ateneo Laboratory for the Learning Sciences 60

[9] Open Knowledge Foundation 2013 ‘Defining open data’ [Online, Last access April 2022]. URL: https://blog.okfn.org/2013/10/03/definingopen-data/

[10] M SaddiqaM KirikovaR MagnussenB LarsenJ. M Pedersen 2019 ‘Enterprise architecture oriented requirements engineering for the design of a school friendly open data web interface’ Complex Systems Informatics and Modeling Quarterly 21 1 20

[11] I SafarovA MeijerS Grimmelikhuijsen 2017 ‘Utilization of open government data: A systematic literature review of types, conditions, effects and users’ Information Polity 22 1 1 24

[12] E Styrin Luna-L. F ReyesT. M Harrison 2017 ‘Open data ecosystems: an international comparison’ Transforming Government: People, Process and Policy.

[13] I SushaǺ GrönlundM Janssen 2015 ‘Driving factors of service innovation using open government data: An exploratory study of entrepreneurs in two countries’ Information polity 20 1 19 34

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