An Ontological Model of an Information System
IEEE Transactions on Software Engineering
A middle-out concept of hierarchy (or the problem of feeding the animals)
ACM SIGSOFT Software Engineering Notes
Emancipating instances from the tyranny of classes in information modeling
ACM Transactions on Database Systems (TODS)
Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use
Information Systems Research
Information Processing and Management: an International Journal
The role of trust in e-commerce relational exchange: A unified model
Information and Management
Theoretical foundations for conceptual modelling in information systems development
Decision Support Systems
Enhancing the Quality and Trust of Citizen Science Data
ESCIENCE '10 Proceedings of the 2010 IEEE Sixth International Conference on e-Science
Trust and TAM in online shopping: an integrated model
MIS Quarterly
Reconciling theories with design choices in design science research
DESRIST'13 Proceedings of the 8th international conference on Design Science at the Intersection of Physical and Virtual Design
Capturing quality: retaining provenance for curated volunteer monitoring data
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Hi-index | 0.00 |
Citizen science refers to voluntary participation by the general public in scientific endeavors. Although citizen science has a long tradition, the rise of online communities and user-generated web content has the potential to greatly expand its scope and contributions. Citizens spread across a large area will collect more information than an individual researcher can. Because citizen scientists tend to make observations about areas they know well, data are likely to be very detailed. Although the potential for engaging citizen scientists is extensive, there are challenges as well. In this paper we consider one such challenge - creating an environment in which non-experts in a scientific domain can provide appropriate and accurate data regarding their observations. We describe the problem in the context of a research project that includes the development of a website to collect citizen-generated data on the distribution of plants and animals in a geographic region. We propose an approach that can improve the quantity and quality of data collected in such projects by organizing data using instance-based data structures. Potential implications of this approach are discussed and plans for future research to validate the design are described.