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Building Frameworks of Organizational Intelligence Joe Zucca Director for Planning and Communication University of Pennsyl...
Sample Data Structure I: Data Farm Funds Report - Biology Building Frameworks of Organizational Intelligence
Building Frameworks of Organizational Intelligence Sample Data Structure I: Data Farm Funds Report - Casalini Libri
Sample Data Structure II - Data Farm Table - Funds Process Building Frameworks of Organizational Intelligence
Sample Data Structure III - Voyager Funds Schema Invoice_ line_item invoice_ status purchase_ order line_item invoice_ lin...
Working with data structures Building Frameworks of Organizational Intelligence Information Loop Data Farm  Environment Cl...
Reference Contact Circulation Acquisitions Funds Holdings Copier | Printer Use Gate Swipes Web Analytics Image Collection ...
Service Environment WEB Apache ezproxy Ref|Instruct Data Farm Silos funds Building Frameworks of Organizational Intelligen...
A different take on a management information framework Building Frameworks of Organizational Intelligence
xxx.xx.xxx.xxx|-|zucca|[26/Jul/2007:15:41:01 -0500]| GET https://proxy.library.upenn.edu:443/login?proxySessionID=10335905...
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xxx.xx.xxx.xxx   |-| zucca |[26/Jul/2007:15:41:01 -0500]|   GET https://proxy.library.upenn.edu:443/login?proxySessionID=1...
xxx.xx.xxx.xxx   |-|zucca|[26/Jul/2007:15:41:01 -0500]| GET https://proxy.library.upenn.edu:443/login? proxySessionID=1033...
xxx.xx.xxx.xxx   |-|zucca|[26/Jul/2007:15:41:01 -0500]| GET https://proxy.library.upenn.edu:443/login?proxySessionID=10335...
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EVENT Events :  a   Structure   for Library Decision   Metrics Building Frameworks of Organizational Intelligence Org|Prog...
Service Environment WEB Apache ezproxy Ref|Instruct Data Farm Silos funds Building Frameworks of Organizational Intelligen...
DATA STORE query (xsql) parse, resolve, anonymize, secure! store as metridoc.xml Data Farm Framework oracle logs oracle XM...
Event Elements Articulated in an XML Schema <ul><li>< ENVIRONMENTAL > </li></ul><ul><ul><li><v.domain> </li></ul></ul><ul>...
<ul><li>< ENVIRONMENTAL > </li></ul><ul><ul><li><v.domain> </li></ul></ul><ul><ul><li><p.domain> </li></ul></ul><ul><ul><l...
<ul><li><ENVIRONMENTAL> </li></ul><ul><ul><li><v.domain> </li></ul></ul><ul><ul><li><p.domain> </li></ul></ul><ul><ul><li>...
<ul><li><ENVIRONMENTAL> </li></ul><ul><ul><li><v.domain> </li></ul></ul><ul><ul><li><p.domain> </li></ul></ul><ul><ul><li>...
<ul><li><ENVIRONMENTAL> </li></ul><ul><ul><li><v.domain> </li></ul></ul><ul><ul><li><p.domain> </li></ul></ul><ul><ul><li>...
Data  Source instructions Event schema metridoc.xml voyager Penn  Community Staff db Java- based processes Data Store <ul>...
Building Frameworks of Organizational Intelligence Faculty Use of Electronic Journals: School by Journal Topic  21,634 art...
Building Frameworks of Organizational Intelligence Faculty Use of Electronic Journals: School by Journal Topic – Aggregate...
Building Frameworks of Organizational Intelligence Faculty Use of Electronic Journals: Correlation by School  [pearson r |...
Building Frameworks of Organizational Intelligence Faculty Use of Electronic Journals: Multi-Dimensional Scaling Model
Consortial Borrowing Activity:  Class PN1993-1999,  Motion Pictures  2002-2007 Building Frameworks of Organizational Intel...
Pct of Request Pct of Titles 20% of titles account for nearly 50% of requests Building Frameworks of Organizational Intell...
Building Frameworks of Organizational Intelligence The Emergence of Cinematic Time PN1995.5 T55 D63 2002 2007 Columbia  Co...
Summary: Exploring new frameworks that enrich organizational intelligence. Taking advantage of xml extensibility to increa...
Joe Zucca [email_address]   215-573-4643 University of Pennsylvania Library  Office of Planning and Communication Question...
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Joe Zucca (UPenn)

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  • Notes:This presentation looks at the Penn Library Data Farm project, a six year effort to think about and build systems that support decision making and assessment needs of a large research library. There are two parts to the talk: the first describes the current state of affairs with the Data Farm. After several years we’ve learned what works well and what challenges are particularly tenacious. Which leads into the second part of the talk: how can we apply lessons learned and how would we proceed if we were beginning anew. Independently of this outline--where are we and where might we go--there is an overarching theme: namely that the resources needed to build decision-support frameworks, to support assessment and intelligence gathering, if you will, are present in the architecture of our digital systems and in the profusion of data and data structures that make up, surround, and connect to these systems. Data structures, data manipulations (in the engineering sense rather than the statistical) and our efforts to exploit them are the underlying themes of this talk.
  • A report like this on Penn’s Biology fund, with color codes that represent the grandparent, parent and child funds, the title-level purchases, publisher, split among other funds, various dollar amounts, and relevant dates. Here the output represents a third data structure in the chain, and I hasten to note a very processed but still raw data file. If the consumer of this report is interested in producing a time series or something more complicated, that capability is available in excel and she’s free to ask a number of different questions…If she discovers something later that she didn’t know she wanted to know at the start, the data structure-- hopefully -- will be amenable to further manipulation. If not in excel than maybe at the data farm level….
  • As in this case, where selectors came to us after the report builder was designed and asked to be able to pivot funds by publisher. This required a small alteration to the sql in the report script, and some modifications to formatting code dfor excel.
  • Re-structure it in datafarm as a simpler table that can reproduce the fund hierarchies resident in voayger, but in a comprehnesive way, unlike Voyagers own fund reporting clients. The result is
  • I began by saying this talk is about experiments we’ve been doing to repurpose the data that live around us, that Data Farm is in the first place about finding and leveraging that data structures that live around us. As I mentioned these can live in logs, or other highly structured text files, or they can be databases, That these data structures should command attention before we consider what statistics the organization needs, at least from the perspective of developing intelligence frameworks. So let me drill in a little closer and look at a just one example of how this re-structuring is operationalized in data farm because it raises lots of issues for such projects, issues that are both tactical--that’s is how work is accomplished-- and strategic--why are we doing this in the manner we do.. Here are relationships in the voyager database that are necessary to track fund expenditures for books, serials and e-resources. We can invision the data structure as a diagram or as an sql query. We use this set of relationships to harvest spevific data from Voyager and…
  • Here’s the high-altitude plan of data farm. We begin in the environment where service occurs and identify lots of potential data sources. They’re the systems behind our catalogs, circulation services, and fund accounting (systems like Voyager or III), they include our web service logs, link resolvers, erms (ered is a home-grown erm and web page delivery application), they include 3rd party systems that might operate at the consortial level (that’s what Sirsi-Dynix is to us) and they include the human-driven services of research and instruction. In the data farm setting, we harvest lots of data from this service sphere as well as information about people and networks in our community. Processes in the management info sphere (The Data Farm Environment) capture, clean, normalize and anonymize these sources and feed them into a central repository, which for us is a relational database. We then build on top of the repository various kinds of tools to enable staff to acquire and interact with data. The analytical work of staff and the decisions they make feedback into the service environment through planning, collection development, staff deployment and other processes.
  • Just to try to represent the scale of Data Farm…
  • Tommy, does fund resolution have to happen in this event or can there be an expenditure event that links to this by an id, like item. Could we pull the circ event into DF oracle where tables are maintained for such linkages? Some events may be composites of composites. If spending money is an event, and circulating the purchased thing is a separate event. Are there primary and secondary event processes that allow the layering of event xml’s? This could come up much in courseware, where you have blackboard use event, reference event and expenditure events relative to both.
  • Transcript of "Joe Zucca (UPenn)"

    1. 1. Building Frameworks of Organizational Intelligence Joe Zucca Director for Planning and Communication University of Pennsylvania Libraries
    2. 2. Sample Data Structure I: Data Farm Funds Report - Biology Building Frameworks of Organizational Intelligence
    3. 3. Building Frameworks of Organizational Intelligence Sample Data Structure I: Data Farm Funds Report - Casalini Libri
    4. 4. Sample Data Structure II - Data Farm Table - Funds Process Building Frameworks of Organizational Intelligence
    5. 5. Sample Data Structure III - Voyager Funds Schema Invoice_ line_item invoice_ status purchase_ order line_item invoice_ line_item _funds fund invoice vendor bib_ master bib_text Building Frameworks of Organizational Intelligence
    6. 6. Working with data structures Building Frameworks of Organizational Intelligence Information Loop Data Farm Environment Clean | Anonymize Normalize Data Streams Integrate Inform Report Builder Dashboard Data Bureau Service Environment Catalog Funds Circulation ERED DYNIX BorrowDirect SFX | ERM? WEB Apache ezproxy People and Network Data Ref|Instruct
    7. 7. Reference Contact Circulation Acquisitions Funds Holdings Copier | Printer Use Gate Swipes Web Analytics Image Collection Use Data Farm Oracle Space-Overview 30+ gb, in 162 tables, for collecting and disseminating management info Tech Processing Workflow Building Frameworks of Organizational Intelligence Consortia ILL/DocDel 70-Member ILL Coop. E-Resource Use Resolve Resource Resolve People Resolve Places Staff Census LDAP Digital Library Voyager-Supported Services Building Use Resolution Services Administration Reference & Instruction (dynamic)
    8. 8. Service Environment WEB Apache ezproxy Ref|Instruct Data Farm Silos funds Building Frameworks of Organizational Intelligence Catalog Funds Circulation ERED DYNIX BorrowDirect SFX | ERM?
    9. 9. A different take on a management information framework Building Frameworks of Organizational Intelligence
    10. 10. xxx.xx.xxx.xxx|-|zucca|[26/Jul/2007:15:41:01 -0500]| GET https://proxy.library.upenn.edu:443/login?proxySessionID=10335905&url= http://www.csa.com/htbin/dbrng.cgi?username=upenn3&access=upenn34&cat=psycinfo&adv=1 HTTP/1.1| 302|0|http://www.library.upenn.edu/cgi-bin/res/sr.cgi?community=59| Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/418.9.1 (KHTML, like Gecko) Safari/419.3| NGpmb6dT6JXswQH|__utmc=94565761; ezproxy=NGpmb6dT6JXswQH; hp=/; proxySessionID=10335514; __utmc=247612227; __utmz=247612227.1184251774.1.1.utmccn=(direct)| utmcsr=(direct)|utmcmd=(none); UPennLibrary=AAAAAUaWP5oAACa4AwOOAg==; sfx_session_id=s6A37A3E0-3B8E-11DC-80E9-85076F88F67F Sample Data Structure: EZ-Proxy Log Building Frameworks of Organizational Intelligence
    11. 11. xxx.xx.xxx.xxx |-|zucca| [26/Jul/2007:15:41:01 -0500] | GET https://proxy.library.upenn.edu:443/login?proxySessionID=10335905&url= http://www.csa.com/htbin/dbrng.cgi?username=upenn3&access=upenn34&cat=psycinfo&adv=1 HTTP/1.1| 302|0|http://www.library.upenn.edu/cgi-bin/res/sr.cgi?community=59| Mozilla/5.0 (Macintosh; U; PPC Mac OS X ; en) AppleWebKit/418.9.1 (KHTML, like Gecko) Safari /419.3| NGpmb6dT6JXswQH|__utmc=94565761; ezproxy=NGpmb6dT6JXswQH; hp=/; proxySessionID=10335514; __utmc=247612227; __utmz=247612227.1184251774.1.1.utmccn=(direct)| utmcsr=(direct)|utmcmd=(none); UPennLibrary=AAAAAUaWP5oAACa4AwOOAg==; sfx_session_id=s6A37A3E0-3B8E-11DC-80E9-85076F88F67F xxx.xx.xxx.xxx (ip address) = .edu | on-campus | Van Pelt Library | staff office July 26, 2007: 3:41 p.m. Device= Mac | OSX Browser= Safari Sample Data Structure: EZ-Proxy Log Building Frameworks of Organizational Intelligence
    12. 12. xxx.xx.xxx.xxx |-|zucca|[26/Jul/2007:15:41:01 -0500]| GET https://proxy.library.upenn.edu:443/login?proxySessionID=10335905&url= http://www.csa.com/htbin/dbrng.cgi?username=upenn3&access=upenn34&cat=psycinfo&adv=1 HTTP/1.1| 302|0| http://www.library.upenn.edu/cgi-bin/res/sr.cgi?community=59 | Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/418.9.1 (KHTML, like Gecko) Safari/419.3| NGpmb6dT6JXswQH|__utmc=94565761; ezproxy=NGpmb6dT6JXswQH; hp=/; proxySessionID=10335514; __utmc=247612227; __utmz=247612227.1184251774.1.1.utmccn=(direct)| utmcsr=(direct)|utmcmd=(none); UPennLibrary=AAAAAUaWP5oAACa4AwOOAg==; sfx_session_id=s6A37A3E0-3B8E-11DC-80E9-85076F88F67F Referring URL = library web page listing resources on Psychology (community 59) | Olson, Coordinating Bibliographer Sample Data Structure: EZ-Proxy Log Building Frameworks of Organizational Intelligence
    13. 13. xxx.xx.xxx.xxx |-| zucca |[26/Jul/2007:15:41:01 -0500]| GET https://proxy.library.upenn.edu:443/login?proxySessionID=10335905&url= http://www.csa.com/htbin/dbrng.cgi?username=upenn3&access=upenn34&cat=psycinfo&adv=1 HTTP/1.1| 302|0|http://www.library.upenn.edu/cgi-bin/res/sr.cgi?community=59| Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/418.9.1 (KHTML, like Gecko) Safari/419.3| NGpmb6dT6JXswQH|__utmc=94565761; ezproxy=NGpmb6dT6JXswQH; hp=/; proxySessionID=10335514; __utmc=247612227; __utmz=247612227.1184251774.1.1.utmccn=(direct)| utmcsr=(direct)|utmcmd=(none); UPennLibrary=AAAAAUaWP5oAACa4AwOOAg==; sfx_session_id=s6A37A3E0-3B8E-11DC-80E9-85076F88F67F zucca [Penn authentication key] = Provost cntr | LIBRARY | staff Sample Data Structure: EZ-Proxy Log Building Frameworks of Organizational Intelligence
    14. 14. xxx.xx.xxx.xxx |-|zucca|[26/Jul/2007:15:41:01 -0500]| GET https://proxy.library.upenn.edu:443/login? proxySessionID=10335905 &url= http://www.csa.com/htbin/dbrng.cgi?username=upenn3&access=upenn34&cat=psycinfo&adv=1 HTTP/1.1| 302|0|http://www.library.upenn.edu/cgi-bin/res/sr.cgi?community=59| Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/418.9.1 (KHTML, like Gecko) Safari/419.3| NGpmb6dT6JXswQH|__utmc=94565761; ezproxy=NGpmb6dT6JXswQH; hp=/; proxySessionID=10335514; __utmc=247612227; __utmz=247612227.1184251774.1.1.utmccn=(direct)| utmcsr=(direct)|utmcmd=(none); UPennLibrary=AAAAAUaWP5oAACa4AwOOAg==; sfx_session_id=s6A37A3E0-3B8E-11DC-80E9-85076F88F67F SessionID 10335905= PsycInfo (resource identifier 7014) Sample Data Structure: EZ-Proxy Log Building Frameworks of Organizational Intelligence
    15. 15. xxx.xx.xxx.xxx |-|zucca|[26/Jul/2007:15:41:01 -0500]| GET https://proxy.library.upenn.edu:443/login?proxySessionID=10335905&url= http://www.csa.com/htbin/dbrng.cgi?username=upenn3&access=upenn34&cat=psycinfo&adv=1 HTTP/1.1| 302|0|http://www.library.upenn.edu/cgi-bin/res/sr.cgi?community=59| Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/418.9.1 (KHTML, like Gecko) Safari/419.3| NGpmb6dT6JXswQH|__utmc=94565761; ezproxy=NGpmb6dT6JXswQH; hp=/; proxySessionID=10335514; __utmc=247612227; __utmz=247612227.1184251774.1.1.utmccn=(direct)| utmcsr=(direct)|utmcmd=(none); UPennLibrary=AAAAAUaWP5oAACa4AwOOAg==; sfx_session_id=s6A37A3E0-3B8E-11DC-80E9-85076F88F67F sfx_session_id=Journal of Experimental Child Psychology , “ Relations Among Musical Skills, Phonological Processing and Early Reading Ability in Preschool Children.” Sample Data Structure: EZ-Proxy Log Building Frameworks of Organizational Intelligence
    16. 16. xxx.xx.xxx.xxx |-|zucca|[26/Jul/2007:15:41:01 -0500]| GET https://proxy.library.upenn.edu:443/login?proxySessionID=10335905&url= http://www.csa.com/htbin/dbrng.cgi?username=upenn3&access=upenn34&cat=psycinfo&adv=1 HTTP/1.1| 302|0|http://www.library.upenn.edu/cgi-bin/res/sr.cgi?community=59| Mozilla/5.0 (Macintosh; U; PPC Mac OS X; en) AppleWebKit/418.9.1 (KHTML, like Gecko) Safari/419.3| NGpmb6dT6JXswQH|__utmc=94565761; ezproxy=NGpmb6dT6JXswQH; hp=/; proxySessionID=10335514; __utmc=247612227; __utmz=247612227.1184251774.1.1.utmccn=(direct)| utmcsr=(direct)|utmcmd=(none); UPennLibrary=AAAAAUaWP5oAACa4AwOOAg==; sfx_session_id=s6A37A3E0-3B8E-11DC-80E9-85076F88F67F TRANSLATION : <ul><li>Made an open-url connection to an article on reading aptitude published in the Journal of Experimental Child Psychology. </li></ul><ul><li>Logged into PsychInfo (CSA) </li></ul><ul><li>Using a staff computer (MAC|OSX|Safari) located in Van Pelt Library </li></ul><ul><li>A library staff (Provost’s center affiliate) </li></ul><ul><li>July 26, 2007 at 3:41 pm </li></ul>and in the same session, Sample Data Structure: EZ-Proxy Log Building Frameworks of Organizational Intelligence
    17. 17. EVENT Events : a Structure for Library Decision Metrics Building Frameworks of Organizational Intelligence Org|Program Staff Service Genre Library Program Campus Location Date|Time IP-Domain Environment URL Budget Restricted Unrestricted Expnd Amt Fund Code Dept School Client Rank Major Biblio- graphic Content School Reqmnt Dept Dept Level Course Descriptor Client Program
    18. 18. Service Environment WEB Apache ezproxy Ref|Instruct Data Farm Silos funds Building Frameworks of Organizational Intelligence Catalog Funds Circulation ERED DYNIX BorrowDirect SFX | ERM?
    19. 19. DATA STORE query (xsql) parse, resolve, anonymize, secure! store as metridoc.xml Data Farm Framework oracle logs oracle XML Sources Repository processes Analysis perl XL Service Environment Building Frameworks of Organizational Intelligence Catalog Funds Circulation ERED DYNIX BorrowDirect SFX | ERM? WEB Apache ezproxy Ref|Instruct
    20. 20. Event Elements Articulated in an XML Schema <ul><li>< ENVIRONMENTAL > </li></ul><ul><ul><li><v.domain> </li></ul></ul><ul><ul><li><p.domain> </li></ul></ul><ul><ul><li><date> </li></ul></ul><ul><ul><li><time> </li></ul></ul><ul><ul><li><session> </li></ul></ul><ul><ul><li><url> </li></ul></ul><ul><li></ ENVIRONMENTAL > </li></ul><ul><li>< CLIENT > </li></ul><ul><ul><li><school> </li></ul></ul><ul><ul><li><dept> </li></ul></ul><ul><ul><li><rank> </li></ul></ul><ul><li></ CLIENT > </li></ul><ul><li>< LIBRARY PRGRM > </li></ul><ul><ul><li><service genre> </li></ul></ul><ul><ul><li><staff_name> </li></ul></ul><ul><ul><li><staff_org> </li></ul></ul><ul><ul><li><staff_prgm> </li></ul></ul><ul><li></ LIBRARY PRGRM > </li></ul><ul><li>< CONTENT > </li></ul><ul><ul><li><title> </li></ul></ul><ul><ul><li><author> </li></ul></ul><ul><ul><li><holdings> </li></ul></ul><ul><ul><li><call_no> </li></ul></ul><ul><ul><li><isbn> </li></ul></ul><ul><ul><li><issn> </li></ul></ul><ul><ul><li><url> </li></ul></ul><ul><ul><li><res_id> </li></ul></ul><ul><ul><li><sfx_id> </li></ul></ul><ul><li></ CONTENT > </li></ul>METRIDOC Building Frameworks of Organizational Intelligence EVENT Library Program Environment Client Content Client Program Budget
    21. 21. <ul><li>< ENVIRONMENTAL > </li></ul><ul><ul><li><v.domain> </li></ul></ul><ul><ul><li><p.domain> </li></ul></ul><ul><ul><li><date> </li></ul></ul><ul><ul><li><time> </li></ul></ul><ul><ul><li><session> </li></ul></ul><ul><ul><li><url> </li></ul></ul><ul><li></ ENVIRONMENTAL > </li></ul><ul><li><CLIENT> </li></ul><ul><ul><li><school> </li></ul></ul><ul><ul><li><dept> </li></ul></ul><ul><ul><li><rank> </li></ul></ul><ul><li></CLIENT> </li></ul><ul><li><LIBRARY PRGRM> </li></ul><ul><ul><li><service genre> </li></ul></ul><ul><ul><li><staff_name> </li></ul></ul><ul><ul><li><staff_org> </li></ul></ul><ul><ul><li><staff_prgm> </li></ul></ul><ul><li></LIBRARY PRGRM> </li></ul><ul><li><CONTENT> </li></ul><ul><ul><li><title> </li></ul></ul><ul><ul><li><author> </li></ul></ul><ul><ul><li><holdings> </li></ul></ul><ul><ul><li><call_no> </li></ul></ul><ul><ul><li><isbn> </li></ul></ul><ul><ul><li><issn> </li></ul></ul><ul><ul><li><url> </li></ul></ul><ul><ul><li><res_id> </li></ul></ul><ul><ul><li><sfx_id> </li></ul></ul><ul><li></CONTENT> </li></ul>Event Elements Articulated in an XML Schema Building Frameworks of Organizational Intelligence METRIDOC Building Frameworks of Organizational Intelligence Campus Location Date|Time IP-Domain Environment URL EVENT Library Program Environment Client Content Client Program Budget
    22. 22. <ul><li><ENVIRONMENTAL> </li></ul><ul><ul><li><v.domain> </li></ul></ul><ul><ul><li><p.domain> </li></ul></ul><ul><ul><li><date> </li></ul></ul><ul><ul><li><time> </li></ul></ul><ul><ul><li><session> </li></ul></ul><ul><ul><li><url> </li></ul></ul><ul><li></ENVIRONMENTAL> </li></ul><ul><li>< CLIENT > </li></ul><ul><ul><li><school> </li></ul></ul><ul><ul><li><dept> </li></ul></ul><ul><ul><li><rank> </li></ul></ul><ul><li></ CLIENT > </li></ul><ul><li><LIBRARY PRGRM> </li></ul><ul><ul><li><service genre> </li></ul></ul><ul><ul><li><staff_name> </li></ul></ul><ul><ul><li><staff_org> </li></ul></ul><ul><ul><li><staff_prgm> </li></ul></ul><ul><li></LIBRARY PRGRM> </li></ul><ul><li><CONTENT> </li></ul><ul><ul><li><title> </li></ul></ul><ul><ul><li><author> </li></ul></ul><ul><ul><li><holdings> </li></ul></ul><ul><ul><li><call_no> </li></ul></ul><ul><ul><li><isbn> </li></ul></ul><ul><ul><li><issn> </li></ul></ul><ul><ul><li><url> </li></ul></ul><ul><ul><li><res_id> </li></ul></ul><ul><ul><li><sfx_id> </li></ul></ul><ul><li></CONTENT> </li></ul>Event Elements Articulated in an XML Schema METRIDOC Building Frameworks of Organizational Intelligence Dept School Client Rank Major EVENT Library Program Environment Client Content Client Program Budget
    23. 23. <ul><li><ENVIRONMENTAL> </li></ul><ul><ul><li><v.domain> </li></ul></ul><ul><ul><li><p.domain> </li></ul></ul><ul><ul><li><date> </li></ul></ul><ul><ul><li><time> </li></ul></ul><ul><ul><li><session> </li></ul></ul><ul><ul><li><url> </li></ul></ul><ul><li></ENVIRONMENTAL> </li></ul><ul><li><CLIENT> </li></ul><ul><ul><li><school> </li></ul></ul><ul><ul><li><dept> </li></ul></ul><ul><ul><li><rank> </li></ul></ul><ul><li></CLIENT> </li></ul><ul><li>< LIBRARY PRGRM > </li></ul><ul><ul><li><service genre> </li></ul></ul><ul><ul><li><staff_name> </li></ul></ul><ul><ul><li><staff_org> </li></ul></ul><ul><ul><li><staff_prgm> </li></ul></ul><ul><li></ LIBRARY PRGRM > </li></ul><ul><li><CONTENT> </li></ul><ul><ul><li><title> </li></ul></ul><ul><ul><li><author> </li></ul></ul><ul><ul><li><holdings> </li></ul></ul><ul><ul><li><call_no> </li></ul></ul><ul><ul><li><isbn> </li></ul></ul><ul><ul><li><issn> </li></ul></ul><ul><ul><li><url> </li></ul></ul><ul><ul><li><res_id> </li></ul></ul><ul><ul><li><sfx_id> </li></ul></ul><ul><li></CONTENT> </li></ul>Event Elements Articulated in an XML Schema METRIDOC Building Frameworks of Organizational Intelligence EVENT Library Program Environment Client Content Client Program Budget Org|Program Staff Service Genre Library Program
    24. 24. <ul><li><ENVIRONMENTAL> </li></ul><ul><ul><li><v.domain> </li></ul></ul><ul><ul><li><p.domain> </li></ul></ul><ul><ul><li><date> </li></ul></ul><ul><ul><li><time> </li></ul></ul><ul><ul><li><session> </li></ul></ul><ul><ul><li><url> </li></ul></ul><ul><li></ENVIRONMENTAL> </li></ul><ul><li><CLIENT> </li></ul><ul><ul><li><school> </li></ul></ul><ul><ul><li><dept> </li></ul></ul><ul><ul><li><rank> </li></ul></ul><ul><li></CLIENT> </li></ul><ul><li><LIBRARY PRGRM> </li></ul><ul><ul><li><service genre> </li></ul></ul><ul><ul><li><staff_name> </li></ul></ul><ul><ul><li><staff_org> </li></ul></ul><ul><ul><li><staff_prgm> </li></ul></ul><ul><li></LIBRARY PRGRM> </li></ul><ul><li>< CONTENT > </li></ul><ul><ul><li><title> </li></ul></ul><ul><ul><li><author> </li></ul></ul><ul><ul><li><holdings> </li></ul></ul><ul><ul><li><call_no> </li></ul></ul><ul><ul><li><isbn> </li></ul></ul><ul><ul><li><issn> </li></ul></ul><ul><ul><li><url> </li></ul></ul><ul><ul><li><res_id> </li></ul></ul><ul><ul><li><sfx_id> </li></ul></ul><ul><li></ CONTENT > </li></ul>Event Elements Articulated in an XML Schema Biblio- graphic Content METRIDOC Building Frameworks of Organizational Intelligence EVENT Library Program Environment Client Content Client Program Budget
    25. 25. Data Source instructions Event schema metridoc.xml voyager Penn Community Staff db Java- based processes Data Store <ul><li>< ENVIRONMENTAL > </li></ul><ul><ul><li><van_pelt> </li></ul></ul><ul><ul><li><p.location> </li></ul></ul><ul><ul><li><26-jul-2007> </li></ul></ul><ul><ul><li><15:41:01> </li></ul></ul><ul><ul><li><10335905> </li></ul></ul><ul><ul><li>< http://www.csa… > </li></ul></ul><ul><ul><li>< http://www.library.upe..> </li></ul></ul><ul><ul><li><macOSX> </li></ul></ul><ul><ul><li><safari2.0.4> </li></ul></ul><ul><li></ ENVIRONMENTAL > </li></ul><ul><li>< CLIENT > </li></ul><ul><ul><li><LIB> </li></ul></ul><ul><ul><li><admin> </li></ul></ul><ul><ul><li><staff> </li></ul></ul><ul><li></ CLIENT > </li></ul><ul><li>< LIBRARY PRGRM > </li></ul><ul><ul><li><urs> </li></ul></ul><ul><ul><li><olson> </li></ul></ul><ul><ul><li><5035> </li></ul></ul><ul><ul><li><colldev> </li></ul></ul><ul><li></ LIBRARY PRGRM > </li></ul><ul><li>< CONTENT > </li></ul><ul><ul><li><psycinfo> </li></ul></ul><ul><ul><li><CSA> </li></ul></ul><ul><ul><li><1017-7041> </li></ul></ul><ul><ul><li><1901-3425> </li></ul></ul><ul><ul><li><1452845903> </li></ul></ul><ul><ul><li>< http://www.csa… > </li></ul></ul><ul><ul><li><sfx_id> </li></ul></ul><ul><li></ CONTENT > </li></ul>Schematic Workflow Building Frameworks of Organizational Intelligence
    26. 26. Building Frameworks of Organizational Intelligence Faculty Use of Electronic Journals: School by Journal Topic 21,634 article views]
    27. 27. Building Frameworks of Organizational Intelligence Faculty Use of Electronic Journals: School by Journal Topic – Aggregated [ 21,634 article views]
    28. 28. Building Frameworks of Organizational Intelligence Faculty Use of Electronic Journals: Correlation by School [pearson r | 21,634 article views]
    29. 29. Building Frameworks of Organizational Intelligence Faculty Use of Electronic Journals: Multi-Dimensional Scaling Model
    30. 30. Consortial Borrowing Activity: Class PN1993-1999, Motion Pictures 2002-2007 Building Frameworks of Organizational Intelligence
    31. 31. Pct of Request Pct of Titles 20% of titles account for nearly 50% of requests Building Frameworks of Organizational Intelligence Consortial Borrowing Activity: Class PN1993-1999, Motion Pictures [7,512 requests, 1999-Dec 2008]
    32. 32. Building Frameworks of Organizational Intelligence The Emergence of Cinematic Time PN1995.5 T55 D63 2002 2007 Columbia Cornell 2007 Columbia Princeton 2006 Yale Cornell 2006 Brown Columbia 2006 Princeton Penn 2006 Yale Penn 2006 Dartmouth Princeton 2006 Dartmouth Columbia 2006 Dartmouth Brown 2005 Columbia Dartmouth 2005 Dartmouth Penn 2005 Dartmouth Yale 2005 Columbia Princeton 2005 Dartmouth Columbia 2004 Dartmouth Cornell 2004 Yale Penn 2004 Brown Yale 2004 Dartmouth Penn 2004 Penn Princeton 2003 Dartmouth Yale 2003 Cornell Princeton 2003 Dartmouth Princeton 2003 Dartmouth Princeton 2003 Cornell Brown 2003 Dartmouth Princeton 2003 Penn Brown 2003 Dartmouth Cornell Req Date Lender Borrower
    33. 33. Summary: Exploring new frameworks that enrich organizational intelligence. Taking advantage of xml extensibility to increase the descriptive power of library data resources. Aligning management information technology with the broader direction in digital library design. Evaluating the potential for shared, open-source solutions that might promote collaborative data gathering and assessment. Building Frameworks of Organizational Intelligence
    34. 34. Joe Zucca [email_address] 215-573-4643 University of Pennsylvania Library Office of Planning and Communication Questions? Building Frameworks of Organizational Intelligence
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