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Editor's Notes

• #3: Want to know about your lessons learnedEspecially want to know about your vendors and their questionsCan you put your data up for public accessHow do you catalog them or make them accessible?What do researchers want on your campus
• #4: Different ballgame federal grants specific requirements, PI privacy, tracking not publicAgain proprietary, confidential, ownershipThose seen as lease/purchase and as long straight forward OK, vendors know IP ranges etc. license issues st
• #5: Making them useful to othersMeeting user needsFinding out about vendorsFinding our about researchBetter connections to campus
• #6: While not talking about IR and curating local data the article from Purdue cover the new roles libns have in identifying., collecting, curating preserving and administering data sets. Described unique role libns have in describing material i.e. metadata and preserving it but also how well suited they are to broker acquisitions translate to researchers the value of consistent access, the provenance and context of the data, standards and long term preservation of data. Argue for broad access to share promote interdisciplinary research Similar in approaching vendors broad access needed to share data for best research.
• #7: researchers continue to produce and request access to data for their work. While data are being produced at exponential rates, it is not a trivial matter for researchers to discover, access, and repurpose data sets. Lyman and Varian9 report that in 2002 alone more than five exabytes of information were created. That equates to 37,000 times the size of the Library of Congress. With advances in computing power and technology, it is easier than ever to mine and manipulate large data sets as long as they are mounted online.10,11 The problem for researchers and librarians, however, is that many of these data sets are scattered amongst individual researchers’ desktops; there exists no truly organized system for discovering, accessing, and repurposing data sets. MODELSIRSerial continuationsOne time paymentTransitional or the ad hoc model where anything may go
• #8: LOTS of research going onGrants to buy data What wantedBy whomHow much costsIs it purchasable By vendorBy campusCan we license
• #13: Translater of library termsNo business staff credit card Who sends it and howVsorganiaztion
• #18: url links
• #20: We can also say on whole great experiments?
• #24: GIS data purchases nice over view of the issue as they affect purchases and maintenance of this material