Data Partnerships for the SDGs : The Potential of Federated Information Systems
Book chapter
Murphy, Ethan and Murphy, Enda. (2022). Data Partnerships for the SDGs : The Potential of Federated Information Systems. In In Murphy, Enda, Banerjee, Aparajita and Walsh, Patrick Paul (Ed.). Partnerships and the Sustainable Development Goals pp. 71-84 Springer. https://doi.org/10.1007/978-3-031-07461-5_6
Authors | Murphy, Ethan and Murphy, Enda |
---|---|
Editors | Murphy, Enda, Banerjee, Aparajita and Walsh, Patrick Paul |
Abstract | Quality data collection and distribution are fundamental to SDG achievement. However, the scope of the SDG indicator framework coupled with the potentially conflicting needs of the data producers and data consumers renders the SDGs an unprecedented global data reporting challenge. The magnitude of the challenge is such that international data partnerships are required should robust global SDG reporting be achieved. This chapter aims to describe one of the lifelines to global SDG reporting that results from an international data partnership between the UN and ESRI—the federated information system for the SDGs (FIS4SDGs). While the data partnership has proven fruitful insofar as national SDG data hubs have been successfully launched in five partnering nations, it does not come without certain limitations, the majority of which stem from barriers associated with the systems’ political, financial, or technological context. The FIS4SDGs serves as a potent example of the benefits that may be reaped from international data partnerships, catalyzing national SDG reporting and localization; however, its true power is yet to be realized. Indeed, the FIS4SDGs has the potential to revolutionize current SDG reporting acting as the medium through which citizen science-generated data and big data might be incorporated into the SDG data system. |
Keywords | Sustainable Development Goals; SDGs; SDG indicator framework |
Page range | 71-84 |
Year | 01 Jan 2022 |
Book title | Partnerships and the Sustainable Development Goals |
Publisher | Springer |
Place of publication | United States |
Edition | Part F2740 |
Series | Sustainable Development Goals Series ((SDGS)) |
ISBN | 978-3-031-07460-8 |
ISSN | 2523-3084 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-07461-5_6 |
Web address (URL) | https://link.springer.com/chapter/10.1007/978-3-031-07461-5_6 |
Open access | Published as non-open access |
Research or scholarly | Research |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 02 Sep 2022 |
Publication process dates | |
Accepted | Aug 2022 |
Deposited | 17 Feb 2025 |
Additional information | © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022. |
https://acuresearchbank.acu.edu.au/item/9159q/data-partnerships-for-the-sdgs-the-potential-of-federated-information-systems
Restricted files
Publisher's version
9
total views0
total downloads0
views this month0
downloads this month