Next Article in Journal
A GIS Study of the Influences of Warm Ocean Eddies on the Intensity Variations of Tropical Cyclones in the South China Sea
Previous Article in Journal
A Subdivision Method to Unify the Existing Latitude and Longitude Grids
Previous Article in Special Issue
The Göttingen eResearch Alliance: A Case Study of Developing and Establishing Institutional Support for Research Data Management
Open AccessArticle

Data Autodiscovery—The Role of the OPD

Research & Innovation Services, University of Southampton, University Road, Highfield, Southampton SO17 1BJ, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Constanze Curdt, Christian Willmes, Georg Bareth and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2016, 5(10), 167; https://doi.org/10.3390/ijgi5100167
Received: 29 January 2016 / Revised: 12 September 2016 / Accepted: 18 September 2016 / Published: 22 September 2016
(This article belongs to the Special Issue Research Data Management)
The importance of open data and the benefits it can offer have received recognition on the international stage with the signing of the G8 Open Data Charter in June 2013. The charter has an early focus on 14 high value areas, including transport and education, where governments have greater influence. In the UK, we have seen the funding of the Open Data Institute (ODI) with a remit to support small and medium sized enterprises (SMEs) in identifying benefits from using open data, whereas, within HE, open data discussion is in its infancy although is acknowledged as a sector challenge by the Russell Group of universities. There is an evident need for the academic community to influence the adoption of applications using linked open data techniques in data management and service delivery. This article introduces the concept of “data autodiscovery”, highlighting the role of the Organisation Profile Document (OPD) and its contribution to the early success of the UK National Equipment Portal, equipment.data, along with discussing the need for greater dialogue in linked and open data standards development. View Full-Text
Keywords: open data; linked data; autodiscovery; RDF; data profile; schema mapping; data structures; web crawler; organisation profile document; OPD open data; linked data; autodiscovery; RDF; data profile; schema mapping; data structures; web crawler; organisation profile document; OPD
Show Figures

Figure 1

MDPI and ACS Style

Cox, A.J.M.; Milsted, A.J.; Gutteridge, C.J. Data Autodiscovery—The Role of the OPD. ISPRS Int. J. Geo-Inf. 2016, 5, 167.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop