Dear Jim,

You can point to researchspace.org, http://wiss-ki.eu/. Both are scalable OWL/RDF-based implementations, with complete data sets from some of the largest museums of Europe. See also http://archesproject.org/ and http://www.clarosnet.org/XDB/ASP/clarosHome/
The take-up of the CRM is very encouraging these days.

The argument is non-sensical, it is not the CRM that lags behind, but the IT technology.

Only about the year 2010, scalable Open Source Triple Stores with industrial quality appeared on the market, that could manage "contexts" or Named Graphs, also called "quad stores". Without the latter, integrating data
in such environments meets an unsolvable "data warehouse update problem".

Since 2010, the normal development cycle needs 5 years to come up with stable applications.

Simply, the CRM was 12 years ahead of its time (first version finished 1998). The reason being, that we at ICS-FORTH could demonstrate the technology with our in-house solution, the SIS system, long before other scalable semantic network databases with an RDF-like datamodel were available. On the one side, marketing the SIS system with all the continous portings to new platforms exceeded the capacity of our team. On the other side, to be so far ahead gave the CRM a long time to mature, which rarely any other competitive model had.

All the best,

Martin


On 6/7/2016 6:08 πμ, Jim Salmons wrote:

Hello CRM SIG folk,

In a Twitter exchange where I expressed my disappointment in the closed membership and non-transparent nature of the DPLA ADWG (Archival Description Working Group), and disappointment in the recently posted Developer for Data and Usage Analytics job posting (https://goo.gl/rhckCk) not recognizing international standards such as the #cidocCRM, there has been a strong condemnation of the #cidocCRM stating that it not be taken seriously because “there are no major scalable production systems after all these years” (https://twitter.com/ewg118/status/750519840545398786).

As my interest, research, and limited professional exposure is not in this realm of “major scalable production systems,” I would appreciate any advice for examples to counter this opinion.

Thank you,

    Happy-Healthy Vibes,

    -: Jim :-

    Jim Salmons and Timlynn Babitsky

    Twitter: @Jim_Salmons, @TimlynnBabitsky, @FactMiners, @Softalk_Apple

www.FactMiners.org <http://www.FactMiners.org> (Our #CitizenScience project)

www.SoftalkApple.com <http://www.SoftalkApple.com> (Our #DigitalHistory project)



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