RIXML.org (www.rixml.org) remains an organization dedicated to the adoption and implementation of an XML-based tagging standard for research data. Both sell-side publishers of research and institutional buy-side consumers of research and vendor intermediary channels, which are value-added distributors of research, have a direct stake in the successful implementation of this standard.
Why tagging and why now? A colleague of mine in RIXML.org recently passed on an observation that sums up the need for standardized structure (tagging) quite well: this is a transitional time for the research business. Research packaging and distribution decisions are taking on greater urgency in two different roles:
- Business drivers — content that adds to the investment decision making process needs to be clearly paid for. “Fuzzy” pricing models, on the hope of increased commissions and order flow, are fewer and further between. “Content in context” is paramount. Rich, deep tagging to identify such content will help to mitigate the opportunity costs of misplaced or irrelevant research to clients.
- Technology drivers, which speaks directly to the transitional time for the research business. I like to use the iTunes analogy. How many times has anyone searched for songs in iTunes when those songs’ tags are absent or misplaced? Those songs will probably not make users’ playlists. In the same way, research that is not tagged correctly or not tagged at all will not make consumers’ “playlists”. The proliferation of PDAs, iPhones, iPads, and their apps among institutional portfolio managers and consumers will only heighten the need to structure (tag) research in its proper context. This is a very exciting time for research to ride along on this technology toolset wave.
RIXML.org is a Direct Association member of XBRL.org. We see our relationship as highly complementary; we face off to XBRL at the working group level. XBRL is clearly designed to bring efficiencies to the research analyst workflow process, saving time in data gathering, reducing error rates, and embedding live extensible data filings into publisher workflow to produce more timely and effective earnings models, fundamental company updates, etc.
Our RIXML members see the potential benefit of XBRL. While we are still in the early innings, early models are emerging to bring the two together in practical implementation. We expect these practical models to seek and find their right level in our business in 2011. The membership firms in RIXML.org will continue to benefit from greater understanding of the XBRL vendor applications that may serve as enablers for these workflow models.






