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Tell a Vision: 3 Vignettes

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Presentation on theme: "Tell a Vision: 3 Vignettes"— Presentation transcript:

1 Tell a Vision: 3 Vignettes
Denise A. Troll Ex-tinguished Fellow, Digital Library Federation Associate University Librarian, Carnegie Mellon DLF Forum – November 2001

2 Assessment Scene Investigation
How & why libraries assess Assessment methods & tools Issues & challenges Organization of assessment Trends indicative of practice Agenda for future work

3 Tell a Vision: 3 Vignettes
ASI Methods Qualitative DLF telephone survey Collection & review of instruments Desk-based research Peer review Follow-up quantitative survey What data are being gathered? Why, how, & by whom? Who uses the results? Why, how, & to what effect? What worked & what didn’t? Denise A. Troll,

4 Tell a Vision: 3 Vignettes
ASI Rate 92% Institutions 86% Individuals Contacted Participated Denise A. Troll,

5 Tell a Vision: 3 Vignettes
Case ID ASI-DT EVIDENCE: Similar purposes & methods Different organizations & approaches Different resource commitments & expertise Diverse outcomes Similar purposes & methods Few standard instruments Little comparable, generalizable data Different organizations & approaches Systematic or ad hoc Centralized or decentralized Different resources & expertise Different outcomes – study results can Reinforce librarian assumptions & preferences Challenge librarian assumptions & preferences Provide conflicting, ambiguous, misleading, or incomplete information Be used Never be used Denise A. Troll,

6 Tell a Vision: 3 Vignettes
Case ID ASI-DT EVIDENCE – Diverse outcomes Reinforce assumptions & preferences Challenge assumptions & preferences Provide problematic information Often a breakdown in the research process Incomplete, conflicting, misleading, ambiguous Denise A. Troll,

7 Tell a Vision: 3 Vignettes
Articulate research purpose Implement the plans Assess available resources Choose research method Present, interpret, & plan Assign responsibilities Prepare schedule Analyze & interpret Is the schedule realistic and comprehensive? How many people are involved in interpreting the results and planning what to do with them? How many people are involved in implementing the plans? What are their priorities? Prepare & test instruments Conduct Denise A. Troll,

8 Tell a Vision: 3 Vignettes
Case ID ASI-DT CRIME – Assessment slaughter 2 Purposeless data collection Discouraged staff & users Inadvertent negligence Involuntary harm Assessing rapidly moving targets Incomplete, conflicting, misleading, ambiguous Denise A. Troll,

9 Issues & Challenges

10 Tell a Vision: 3 Vignettes
Surveys Survey fatigue Cost & benefits Composing questions Lack of analysis & application Lack of resources, comprehensive plans, & commitment Recruiting representative research subjects ONE OF YOU IS ABOUT TO LEAVE WITH NOTHING Relative ranking of priorities & frequencies Open-ended questions Follow-up research Denise A. Troll,

11 Focus Groups & Protocols
Tell a Vision: 3 Vignettes Focus Groups & Protocols Lack of skilled moderators & observers Lack of prior agreement about what to observe & how to record the observations Analyzing, interpreting, & using qualitative data Recruiting representative research subjects Lack of resources, comprehensive plans, & commitment WHO IS TOO SLOW TO STAY? Commitment – to architectural changes as well as surface level changes Denise A. Troll,

12 Transaction Log Analysis
Tell a Vision: 3 Vignettes Transaction Log Analysis Volume of data Getting the right data Analyzing & interpreting the data Managing, presenting, & using the data Lack of resources, comprehensive plans, & commitment User privacy WHO IS IT THAT NEEDS TO BE DISPATCHED WITHOUT DELAY? Lack of standards & adequate software Denise A. Troll,

13 Perceptions of Weakest Links

14 Perceptions of Weakest Links

15 Conclusions & Next Steps
A S S E S S M E N T

16 Tell a Vision: 3 Vignettes
Organize Assessment Develop case studies & best practices Build consensus for e-metrics lite Gather baseline data & benchmarks Develop specification for an MIS E-metrics lite – a limited subset of digital library statistics and performance measures to facilitate gathering baseline data and enable comparisons  A specification for the design and functionality of an MIS to capture traditional and digital library data and generate composite measures, trend data, and effective graphical presentations Case studies of successful organizations & data-based strategic planning Denise A. Troll,

17 Develop How-To Manuals
Tell a Vision: 3 Vignettes Develop How-To Manuals Research process & methods Planning & scheduling Resource commitment & skill development Field-tested schedules, budgets, workflows, & instruments Organizing assessment as a core activity Collecting only purposeful data Securing commitment Training ·        E-metrics lite – a limited subset of digital library statistics and performance measures to facilitate gathering baseline data and enable comparisons  ·        Case studies of -        The costs and benefits of different approaches to compiling, presenting, interpreting, and using vendor TLA data in strategic planning -        How institutions successfully organized assessment as a core library activity A specification for the design and functionality of an MIS to capture traditional and digital library data and generate composite measures, trend data, and effective graphical presentations Denise A. Troll,

18 Acquire Interpretive Framework
Tell a Vision: 3 Vignettes Acquire Interpretive Framework DLF & Outsell, Inc. survey of students & faculty Understand why library use is changing Evaluate current & future role Inform strategic planning & resource allocation Focus library efforts appropriately Facilitate development of tools & services What resources do students & faculty use? How do they locate, evaluate, & use them? Do the resources & activities differ across user groups, disciplines, or type of institution? What needs are not being met? Random sample >3000 students & faculty -- Public universities -- Private universities -- Liberal arts colleges 1.      The scholarly information landscape is a complex and evolving combination of information resources, only some of which are managed by academic libraries. 2.      Academic libraries have a distinct and vital role to play in the evolving networked information landscape. 3.      Academic libraries must promote themselves in the networked environment because they are not the only or most accessible provider of scholarly information in this environment. 4.      The nature and use of the scholarly information landscape varies by institution type and academic discipline. 5.      Information use is conditioned by many factors, including speed of access, ease of use, and the quality of the resource. Denise A. Troll,

19 Thank You And thanks to Dan Greenstein, CLIR, DLF library directors, survey respondents, ARL, authors, & readers


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