The second conference day started early - 7am!Highlights of today's sessions include the following:
Presented by UBC Ph.D candidates Donald Force and Elizabeth Shaffer
The two Ph.D candidates led the survey among industry professionals, educators and students on the potential interest in a peer-reviewed RIM journal in North America. Currently there isn't one. Over 220 participants answered the survey and more than 70% of them thought there was the need or showed interest in the idea of a peer-reviewed RIM journal.
I think the findings are great. I, too, think there is sometimes a gap between conceptual RIM theory and practice. It would be good to get the conversations going between the academics and practitioners. It was also interesting to notice that some session attendees were resistant to the idea of including archival topics in the journal. I am surprised at this because records are synonymous with archival documens. Particularly in the public sector, when records reach the end of their lifecycle and are to be kept permanently, records are accessioned by the public archives. Many local governments jointly run both records management programs and archives. I look forward to hearing further developments on the topic.
Many topics were discussed here. And the panelists really knew what they were discussing (see the list of panelists by clicking the session title above). The emphasis during the panel discussion was on information governance that covers areas beyond records management, ESI (electronically stored information) and eDiscovery.
One of the panelists voiced the need to notforce users to classify documents they create, as this can get in the way of their business processes. Also, when documents are being sought during the litigation process, the methodology involves using keywords and other means. We rely on technology in these processes. So he suggested taking similar approach when classifying documents and auto-classifying them. I was very glad to hear this and admired our CEO, Graham Sibley, for recognizing the same need more than two years ago and introducing the auto-classification feature early on in our CLM product.