Library analytics and metrics: using data to drive decisions and service/s edited by Ben Showers

Contributor(s): Showers, Ben, edPublication details: London: Facet Publishing, 2015Description: xxi, 176 pISBN: 9781856049658Subject(s): Analyse- Bibliometrie- BibliotheksstatistikDDC classification: 020.727
Contents:
Introduction: getting the measure of analytics and metrics Library analyticsThe street-light effectLearning analyticsAbout this bookChapter summariesAnalytics and metrics: a brief note on definitionsReferences 1. Library data: big and small Chapter overviewDefining big and small dataSmall and big data in libraries CASE STUDY 1.1 The potential of data to inform personalized recommendations at the Open University Library - Richard NurseCASE STUDY 1.2 Library 'big data': developing a shared analytics service for academic libraries - Ben ShowersChapter conclusionBig and small data: further resourcesReferences 2. Data-driven collections management Chapter overviewThe collections turnManaging the local collectionManaging the 'national' collection CASE STUDY2.1 Building an analytics toolkit at the Harvard Library - Kim Dulin and Carli Spina CASE STUDY 2.2 Collection management analytics: the Copac Collection Management tools project - Shirley Cousins and Diana MassamChapter conclusionData-driven collections management: further resourcesReferences 3. Using data to demonstrate library impact and value Chapter overviewDoes library use have an impact on student success?The analytics turn in librariesThe ethics of impact CASE STUDY 3.1 Library impact data: investigating library use and student attainment - Graham Stone CASE STUDY 3.2 Retention, student success and academic engagement at Minnesota - Shane Nackerud, Jan Fransen, Kate Peterson and Kristen Mastel CASE STUDY 3.3 The Library Cube:revealing the impact of library use on student performance - Brian Cox and Margie JanttiChapter conclusion: from knowing to showing!Library impact and value: further resourcesNotesReferences 4. Going beyond the numbers: using qualitative research to transform the library user experience Chapter overviewQualitative research and the user experienceQualitative research and emerging user needsA mix of skills and methodologies CASE STUDY 4.1 Utilizing qualitative research methods to measure library effectiveness: developing an engaging library experience - Lynn Silipigni Connaway, Erin M. Hood and Carrie E. Vass CASE STUDY 4.2 Ethnographic techniques and new visions for libraries - Donna LanclosChapter conclusionQualitative library research: further resourcesNote Reference s 5. Web and social media metrics for the cultural heritage sector Chapter overviewWeb metrics and analytics in the cultural heritage sectorThe social webThe future of web metrics CASE STUDY 5.1 The web impact of cultural heritage institutions - David Stuart CASE STUDY 5.2 'Let's Get Real': A Journey Towards Understanding and Measuring Digital Engagement - Sejul Malde, Jane Finnis, Anra Kennedy, Elena Villaespesa, Seb Chan and Mia RidgeChapter conclusionSocial and media metrics: further resourcesReferences 6. Understanding and managing the risks of analytics Chapter overviewRedrawing the boundaries of privacyWhose data is it anyway?The importance of data flows CASE STUDY 6.1 The legal, risk and ethical aspects of analytics - Ian Chowcat, David Kay and Naomi KornChapter conclusionUnderstanding the risks of analytics: further resourcesReferences 7. Conclusion: towards a data-driven future? References
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Item type Current library Call number Status Date due Barcode Item holds
General Books General Books Central Library, Sikkim University
General Book Section
020.727 SH0/L (Browse shelf(Opens below)) Available 49660
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Introduction: getting the measure of analytics and metrics Library analyticsThe street-light effectLearning analyticsAbout this bookChapter summariesAnalytics and metrics: a brief note on definitionsReferences
1. Library data: big and small Chapter overviewDefining big and small dataSmall and big data in libraries
CASE STUDY 1.1 The potential of data to inform personalized recommendations at the Open University Library - Richard NurseCASE STUDY 1.2 Library 'big data': developing a shared analytics service for academic libraries - Ben ShowersChapter conclusionBig and small data: further resourcesReferences 2. Data-driven collections management Chapter overviewThe collections turnManaging the local collectionManaging the 'national' collection
CASE STUDY2.1 Building an analytics toolkit at the Harvard Library - Kim Dulin and Carli Spina
CASE STUDY 2.2 Collection management analytics: the Copac Collection Management tools project - Shirley Cousins and Diana MassamChapter conclusionData-driven collections management: further resourcesReferences
3. Using data to demonstrate library impact and value Chapter overviewDoes library use have an impact on student success?The analytics turn in librariesThe ethics of impact
CASE STUDY 3.1 Library impact data: investigating library use and student attainment - Graham Stone
CASE STUDY 3.2 Retention, student success and academic engagement at Minnesota - Shane Nackerud, Jan Fransen, Kate Peterson and Kristen Mastel
CASE STUDY 3.3 The Library Cube:revealing the impact of library use on student performance - Brian Cox and Margie JanttiChapter conclusion: from knowing to showing!Library impact and value: further resourcesNotesReferences
4. Going beyond the numbers: using qualitative research to transform the library user experience Chapter overviewQualitative research and the user experienceQualitative research and emerging user needsA mix of skills and methodologies
CASE STUDY 4.1 Utilizing qualitative research methods to measure library effectiveness: developing an engaging library experience - Lynn Silipigni Connaway, Erin M. Hood and Carrie E. Vass
CASE STUDY 4.2 Ethnographic techniques and new visions for libraries - Donna LanclosChapter conclusionQualitative library research: further resourcesNote Reference
s 5. Web and social media metrics for the cultural heritage sector Chapter overviewWeb metrics and analytics in the cultural heritage sectorThe social webThe future of web metrics
CASE STUDY 5.1 The web impact of cultural heritage institutions - David Stuart
CASE STUDY 5.2 'Let's Get Real': A Journey Towards Understanding and Measuring Digital Engagement - Sejul Malde, Jane Finnis, Anra Kennedy, Elena Villaespesa, Seb Chan and Mia RidgeChapter conclusionSocial and media metrics: further resourcesReferences
6. Understanding and managing the risks of analytics Chapter overviewRedrawing the boundaries of privacyWhose data is it anyway?The importance of data flows
CASE STUDY 6.1 The legal, risk and ethical aspects of analytics - Ian Chowcat, David Kay and Naomi KornChapter conclusionUnderstanding the risks of analytics: further resourcesReferences
7. Conclusion: towards a data-driven future? References

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