Frank, Robert:
You might also be interested in the NCOIC SCOPE model document:
https://www.ncoic.org/images/technology/SCOPE_MODEL_VER1.0.pdf
More work is being done regarding the SCOPE model, but this first version is a pretty good attempt at characterizing the dimensions of a silo and the scales that might be used to quantify the size of the silo along those dimensions. SCOPE is an acronym (Systems/system of systems, Capabilities, Operations, and Enterprises), but the “S” in SCOPE could just as easily have stood for “Silo” (and the “O” for Ontology – with a little bit more work). The key point is that Silos (and domains, enterprises, ontologies, etc.) have scope, i.e., they cover some subset of everything, and they do it or represent it, from some perspective(s). And they use a multiplicity of frames of reference and units of measure for describing/representing their subset of reality. Furthermore, they typically don’t make their scope or perspective(s) explicit or easily discoverable, especially over a network connection. SCOPE provides a way to assess and quantify the scope of some silo and compare it to the scope of some other silo and thereby highlight potential interoperability problems, including data interoperability, should there be some reason for the two silos to interact with each other (interoperability context), with varying degrees of coupling – depending on the interoperability context. One of the SCOPE dimension sets characterizes the degree of coupling along multiple sub-dimensions, like degree of joint ownership/control, lifecycle alignment, organizational flexibility/rigidity, risk aversion, and the like.
Hans Polzer
https://www.ncoic.org/images/technology/SCOPE_MODEL_VER1.0.pdf
From: ontolog-forum-bounces@xxxxxxxxxxxxxxxx [mailto:ontolog-forum-bounces@xxxxxxxxxxxxxxxx] On Behalf Of Frank Guerino
Sent: Wednesday, December 24, 2014 10:37 AM
To: [ontolog-forum]
Subject: Re: [ontolog-forum] Data Silos
You may want to look at research published by organizations such as Gartner and Forrester on topics such as “Data Integration” and “Enterprise Application Integration (EAI),” which show growing trends for investments in these spaces (and the technologies, tools, and services to support them). Every system/application is a data silo, and the more of these silos you have the higher your complexities, costs, and time to integrate between silos will become if certain patterns are not implemented.
Also, I would suggest that you think of the fact that silos are not necessarily “problems” so much as they are “challenges,” as their are good things about silos, too, such as productivity, repeatability, creativity, and innovation.
Anyhow, I hope this helps.
My very best wishes for a Happy Holiday Season to you and yours,
--
Frank Guerino, Chairman
The International Foundation for Information Technology (IF4IT)
http://www.if4it.com
1.908.294.5191 (M)
Data silos are often asserted as being a problem, and a justification for ontologies.
Do you know of any publications or studies that actually demonstrate that data silos cause problems?
(please cite any publications)
P.S. If you know of opportunities to formally work on onto-related projects, feel free to contact me. thank you.
rrovetto[at]buffalo[dot]edu -- For general communication
ontologos[at]yahoo[dot]com -- For ontology-specific communication only
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