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Open Data Kit Goes Semantic - A Contribution to the Interpretability and Interoperability of Field Data

Steinberg, Markus D. and Schindler, Sirko and Klan, Friederike (2019) Open Data Kit Goes Semantic - A Contribution to the Interpretability and Interoperability of Field Data. iDiv Annual Conference 2019, 29.-20. Aug. 2019, Leipzig, Deutschland.

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In citizen science and field research, data collection via mobile applications is playing an increasingly important role. A wide range of software frameworks have emerged, which allow to easily create and distribute form-based surveys for collecting data via mobile applications. Although these frameworks support scientists in designing and conducting data collection surveys, data export is usually limited to tabular standard formats such as CSV or Excel. The attached metadata is rather scarce, so the semantics of the data (what was measured/observed?) often remains unclear. This limits the reuse of the collected databeyond their initial usage context, as interpretability and integration with other data is hampered. In our talk, we introduce a methodology we developed and a software tool that allows researchers to easily enrich their forms for campaigns with semantic annotations and flexibly export the collected data into user-defined formats. In addition to classical description languages such as XML, export to the W3C standard RDF (Linked Open Data) is supported. This enables to link data with their machine-readable meaning. The software implementation of the method was realized as an extension of the widely used data collection framework Open Data Kit 1 (ODK1) and is freely available as open source.

Item URL in elib:https://elib.dlr.de/133256/
Document Type:Conference or Workshop Item (Speech)
Title:Open Data Kit Goes Semantic - A Contribution to the Interpretability and Interoperability of Field Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schindler, SirkoUNSPECIFIEDhttps://orcid.org/0000-0002-0964-4457UNSPECIFIED
Klan, FriederikeUNSPECIFIEDhttps://orcid.org/0000-0002-1856-7334UNSPECIFIED
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Citizen Science, mobile data collection, Semantic Web
Event Title:iDiv Annual Conference 2019
Event Location:Leipzig, Deutschland
Event Type:national Conference
Event Dates:29.-20. Aug. 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Citizen Science
Institute of Data Science > Datamangagement and Analysis
Deposited By: Klan, Dr. Friederike
Deposited On:23 Jan 2020 15:20
Last Modified:23 Jan 2020 15:20

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