Berg, Chris · RePEc: Research Papers in Economics
Interoperability describes the ability of systems to share services and resources with other systems. It is used in many fields - in the law, in communications and payments systems, in healthcare systems and in military alliances, to name a few - and describes a large number of characteristics from technical standards, to information architecture, to organisational governance. This glossary entry presents a topology of interoperability layers and presents some of the key economic and socio-technical concerns faced by interoperable systems.
Cited by 0
Rachel Richesson, Keith Marsolo, Richard Platt et al. · NIH Collaboratory eBooks · 2022
Cited by 0
Kelly Vero · 2025
Cited by 0
Tim Benson · 2025
Cited by 0
Schade, David · Figshare · 2019
Presentation on the Canadian Astronomy Data Centre<strong> </strong>and how it relates to the Interoperability aspect of the FAIR Principles. For the National Data Services Framework Summit 2019.
Cited by 0Open access
Abbott, Daisy · Zenodo (CERN European Organization for Nuclear Research) · 2009
The DCC has assembled a group of briefing papers that together form an introduction to curation. These concise overviews are designed to help grow your basic understanding of key curation issues by providing a high-level introduction to a given topic. Interoperability is the transfer and use of information in a uniform and efficient manner across multiple organisations and IT systems. Its purpose is to create a shared understanding of data. Data exchange requires the data to be semantically matched (i.e. ensuring that the data describe the same thing) and for any differences in representation within the data models to be eliminated or meaningfully handled.1 Data integration is the process which takes heterogeneous data and their structural information and produces a unified description and mapping information to allow seamless access to all existing data. Interpretation of these data must be unambiguous. More generally, interoperability goes beyond data compatibility as we also need interoperable hardware, software, and communication protocols to allow data to be interpreted correctly and unambiguously across system or organisational boundaries.
Cited by 0Open access
A. Nejat Ince, Dag Wilhelmsen, Bülent Sankur · 1995
Cited by 0
Peter Wegner · 1996
Interoperability is the ability of two or more software components to cooperate despite differences in language, interface, and execution platform. It is a scalable form of reusability, being concerned with the reuse of server resources by clients whose accessing mechanisms may be plug-incompatible with sockets of the server. Plug compatibility arises most literally with electrical appliances that require both static compatibility of shape and dynamic compatibility of voltage and frequency. If there is no direct match, interoperability of electrical appliances can be achieved by adapters and transformers. The client-server software paradigm is a plug and socket paradigm with static compatibility specified by types and dynamic compatibility by protocols. As with electrical appliances, incompatibility of software plugs and sockets can be mediated by adapters. Static compatibility between calling and called procedures in strongly typed languages can be determined by type checking. Type compatibility guarantees that the plug of the caller fits the socket of the server but not that the service provided is that expected by the caller. But some of the most powerful systems of interoperation, like UNIX pipes and
Cited by 0
Chris Berg · Internet Policy Review · 2024
Interoperability describes the ability of systems to share services and resources with other systems. It is used in many fields - in the law, in communications and payments systems, in healthcare systems and in military alliances, to name a few - and describes a large number of characteristics from technical standards, to information architecture, to organisational governance. This glossary entry presents a topology of interoperability layers and presents some of the key economic and socio-technical concerns faced by interoperable systems.
Cited by 3Open access
Mark E. Frisse · Elsevier eBooks · 2017
Cited by 2
2019
This chapter discusses the methods of importing and exporting data, and when to use each method and the reasons for using specific settings. It also discusses how to import 2D computer-aided drawing (CAD) data from platforms such as AutoCAD and MicroStation or in the generic Drawing Exchange Format. 2D CAD data can be used in three fundamental ways with respect to a building project's floor plans, ceiling plans, or site plans: using 2D data as backgrounds for building information modeling conversion, integrating 2D data with the model, and importing CAD details. The chapter shows how to use 3D model data from other design software within Revit project. It explores some situations in which model data can be shared between programs: inserted data as a mass, inserted data as a face, and inserted data as an object. Industry Foundation Classes are the data model standard developed by buildingSMART International to support interoperability in the building industry.
Cited by 0
Indarte, Selene · RePEc: Research Papers in Economics
Cited by 0
Indarte, Selene · Americanae (AECID Library) · 2016
Cited by 0
EOSC Support Office Austria, Söser, Birgit · Zenodo (CERN European Organization for Nuclear Research) · 2025
Part of the "Knowledge Snacks" series produced by the EOSC Support Office Austria.
Cited by 0Open access
Marta Romero Ariza, Antonio Quesada · IGI Global eBooks · 2011
This chapter offers a brief overview of the main ideas underlying the learning object (LO) paradigm, with special emphasis placed on pedagogical aspects. Requirements for the interoperability and reusability of learning objects (LOs) are discussed, with attention drawn to the need of developing new metadata models to fully benefit from this approach. The authors also claim a wider utilization of LO principle design based on educational research, to improve the chances of promoting efficient learning. A literature review on technology and science education is also provided, revealing a gap between computer and learning science, in relation to the embracement of the LO paradigm. Reflections on this situation and implications for the science education community are also included. Finally, one project on computer-supported science education is analyzed from the perspective of interoperability and reusability.Request access from your librarian to read this chapter's full text.
Cited by 0
2010
Cited by 1
Stephen P. Hufnagel · Military Medicine · 2009
The main themes of this panel were patient safety and interoperability, the evolution of the traditional longitudinal health record into a patient managed personal health record (PHR) and the personalization of healthcare itself. The interoperability track D of the National Forum posed the following questions: (1) "How do we achieve syntactic interoperability?"; (2) "How do we achieve semantic interoperability?"; (3) "How do we evolve with emerging standards?"; (4) "How do we integrate new medical devices?"; and (5) "How do we achieve National Health Information Network interoperability?"
Cited by 8
Jeffery Daigrepont, James R. Morrow · Productivity Press eBooks · 2020
Cited by 0
The MIT Press eBooks · 2022
Cited by 0
Ian H. Witten, David Bainbridge, David M. Nichols · Elsevier eBooks · 2010
Cited by 0