Automated composition of scientific workflows: A case study on geographic data manipulation

Author(s):  
Vedran Kasalica ◽  
Anna-Lena Lamprecht
2016 ◽  
Vol 14 (3) ◽  
pp. 443-461 ◽  
Author(s):  
Rafaelli Coutinho ◽  
Yuri Frota ◽  
Kary Ocaña ◽  
Daniel de Oliveira ◽  
Lúcia M. A. Drummond

Author(s):  
Idafen Santana-Perez ◽  
Rafael Ferreira da Silva ◽  
Mats Rynge ◽  
Ewa Deelman ◽  
María S. Pérez-Hernández ◽  
...  
Keyword(s):  

2002 ◽  
Vol 26 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Dimos Pantazis ◽  
Bernard Cornélis ◽  
Roland Billen ◽  
David Sheeren

2014 ◽  
Vol 1 ◽  
pp. 27-46
Author(s):  
Finn Hedefalk ◽  
Lars Harrie ◽  
Patrick Svensson

The Intermediate Data Structure (IDS) is a standardised database structure for longitudinal historical databases. Such a common structure facilitates data sharing and comparative research. In this study, we propose an extended version of IDS, named IDS-Geo, that also includes geographic data. The geographic data that will be stored in IDS-Geo are primarily buildings and/or property units, and the purpose of these geographic data is mainly to link individuals to places in space. When we want to assign such detailed spatial locations to individuals (in times before there were any detailed house addresses available), we often have to create tailored geographic datasets. In those cases, there are benefits of storing geographic data in the same structure as the demographic data. Moreover, we propose the export of data from IDS-Geo using an eXtensible Markup Language (XML) Schema. IDS-Geo is implemented in a case study using historical property units, for the period 1804 to 1913, stored in a geographically extended version of the Scanian Economic Demographic Database (SEDD). To fit into the IDS-Geo data structure, we included an object lifeline representation of all of the property units (based on the snapshot time representation of single historical maps and poll-tax registers). The case study verifies that the IDS-Geo model is capable of handling geographic data that can be linked to demographic data.


2013 ◽  
Vol 11 (3) ◽  
pp. 381-406 ◽  
Author(s):  
Karan Vahi ◽  
Ian Harvey ◽  
Taghrid Samak ◽  
Daniel Gunter ◽  
Kieran Evans ◽  
...  

2014 ◽  
Vol 24 (3) ◽  
pp. 371-410 ◽  
Author(s):  
Nicole Gillespie ◽  
Graham Dietz ◽  
Steve Lockey

ABSTRACT:This paper presents a holistic, contextualised case study of reintegration and trust repair at a UK utilities firm in the wake of its fraud and data manipulation scandal. Drawing upon conceptual frameworks of reintegration and organizational trust repair, we analyze the decisions and actions taken by the company in its efforts to restore trust with its stakeholders. The analysis reveals seven themes on the merits of proposed approaches for reintegration after an integrity violation (including open investigations, accurate explanations, apologies, penance, and systemic reforms), and novel insights on the role of organizational identity, “changing of the guard” and cultural reforms alongside procedural modifications. The case further supports the dynamic nature of stakeholder salience across the reintegration process. The study both supports propositions from existing frameworks and suggests novel theoretical extensions for future research.


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