| Title |
Closing Data Gaps with Citizen Science? Findings from the Danube Region |
| ID_Doc |
10809 |
| Authors |
Lisjak, J; Schade, S; Kotsev, A |
| Title |
Closing Data Gaps with Citizen Science? Findings from the Danube Region |
| Year |
2017 |
| Published |
Isprs International Journal Of Geo-Information, 6, 9 |
| DOI |
10.3390/ijgi6090277 |
| Abstract |
Although data is increasingly shared online and accessible for re-use, we still witness heterogeneous coverage of thematic areas and geographic regions. This especially becomes an issue when data is needed for large territories and including different nations, as, for example, required to support macro- regional development policies. Once identified, data gaps might be closed using different approaches. Existing-but so far non accessible-data might be made available; new public sector information could be gathered; or data might be acquired from the private sector. Our work explores a fourth option: closing data gaps with direct contributions from citizen (Citizen Science). This work summarizes a particular case study that was conducted in 2016 in the Danube Region. We provide a gap analysis over an existing macro- regional data infrastructure, and examine potential Citizen Science approaches that might help to close these gaps. We highlight already existing Citizen Science projects that could address a large part of the identified gaps, and suggest one particular new application in order to indicate how a-so far uncovered-gap might be approached. This new application addresses bioenergy as a particular field of the circular economy. On this basis we discuss the emerging opportunities and challenges for this particular way of public participation in regional development policy. We close by highlighting areas for future research. |
| Author Keywords |
Citizen Science; data gaps; spatial data infrastructures; Danube region; European Union Strategy for the Danube Region |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000416386100019 |
| WoS Category |
Computer Science, Information Systems; Geography, Physical; Remote Sensing |
| Research Area |
Computer Science; Physical Geography; Remote Sensing |
| PDF |
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