The Role of Linked Open Statistical Data in Public Service Co-Creation Keegan McBride Tallinn University of Technology Tallinn, Estonia Keegan.mcbride@u.ee Ricardo Matheus Delſt University of Technology Delſt, Netherlands r.matheus@tudelſt.nl Maarja Toots Tallinn University of Technology Tallinn, Estonia Maarja.Toots@u.ee Tarmo Kalvet Tallinn University of Technology Tallinn, Estonia Tarmo.kalvet@u.ee Robert Krimmer Tallinn University of Technology Tallinn, Estonia Robert.krimmer@u.ee ABSTRACT 1 Linked Open Statistical Data (LOSD) and Open Government Data (OGD) are believed to contain the capability to drive the creation of new and innovative public services and provide increased levels of public value. It has also been proposed that these technologies have the potential to change the relationship between traditional public service providers and public service users by allowing any stakeholder to co-create a new service. There is currently a limited amount of empirical work demonstrating how LOSD and OGD may be exploited by non-traditional stakeholders to co-create new data-driven public services. As part of the Horizon2020 funded OpenGovIntelligence (OGI) project, six pilots are being conducted in six different EU countries (Belgium, Estonia, Greece, Ireland, Lithuania, and UK) that aim to demonstrate how OGD and LOSD may be exploited and lead to co-created data-driven public services. The aim of this ongoing research paper is to provide an overview of the OGI co-creation framework and methodology as well as present the current stage of the six different pilots and how OGD/LOSD has thus far allowed for co-creation to take place and public value to be created. CCS CONCEPTS • Applied Computing → E-Government; KEYWORDS Open Data, Linked Open Statistical Data, Co-Creation 1 Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. ACM Reference format: K. McBride, R. Matheus, M. Toots, T. Kalvet, R. Krimmer. 2018. e Role of Linked Open Statistical Data in Public Service Co-Creation. In Proceedings of the 11 th International Conference on eory and Practice of Electronic Governance, Galway, Ireland, April 2018 (ICEGOV’18), 3 pages. DOI: 10.1145/3209415.3209446 1 INTRODUCTION Governments at every level, from municipal to national, are releasing and disclosing datasets due to the belief that, once opened, they may be used and exploited to create public value for society. However, this potential has yet to materialize at a scale one would expect [1]. Many of the datasets that have been released are going unused. There are many reasons that these datasets may be going unused: lack of quality, lack of license, and missing technical knowhow tend to be three of the more common barriers cited in the literature [2], [3]. One way in which governments and agencies are trying to bypass these barriers and get the expected value from their data is through the use of Linked Open Statistical Data (LOSD) and open cubes. LOSD and data cubes allow for an easier way to view, manipulate, understand, and visualize datasets. Most OGD sets are able to be changed, manipulated, and transformed into new open data cubes that allow for easy slicing, dicing, drilling, and pivoting through the data. Once the data has been linked and transformed into a cube it is possible to build applications on top of this data layer to provide new and innovative public services. In the on-going research we are working with six different projects that are currently utilizing OGD, LOSD, and data cubes to develop and offer new co-created public services. ICEGOV '18, April 4–6, 2018, Galway, Ireland © 2018 Copyright is held by the owner/author(s). ACM ISBN 978-1-4503-5421-9/18/04. https://doi.org/10.1145/3209415.3209446 679