Category Archives: Research

Research Methods conference in Ireland

The 9th Qualitative and Quantitative Methods in Libraries International Conference (QQML2017) will be held 23-26 May, 2017, in Limerick, Ireland. The conference website is  http://www.isast.org/.  See the full CMSIM Journal publications including the 4 Issues of 2016 at: http://www.qqml.net/

The  deadline for the 2nd Call of abstracts/papers is approaching: January 31, 2017.  The Qualitative and Quantitative Methods in Libraries International Conference (QQML) is now accepting abstracts/papers and new proposals for Special and Contributed Sessions, Invited papers, Workshops and Master and Doctor Sessions.

For 2nd year the QQML International provides support for 40 delegates to attend QQML2017 by partially or fully waiving their registration fee. (Additional expenses need to be covered by other sponsorship or by candidates themselves).  Priority is given to those applicants who are a first time attendee to the QQML or Students or Young Scientists (less than 4 years after the PhD)Applications should enclose: curriculum vita, support letter from the supervisor, institute or university, and abstract following the conference template from http://www.isast.org/abstractsubmission.html  Note that the deadline for receipt of completed application is 31st  January 2017.

 For more information contact the Secretariat at: secretar@isast.org

You are encourage to:

  • Register before the end of the Early Bird Registration rate (March 30th 2017).
  • To circulate the call for participation to people and/or organisations who may be interested to attend QQML2017.

The Status of Data Education in 2016

Tableau conducted to catalogue the state of analytics education in the United States. In addition to providing a comprehensive listing of analytics programs, this study explores questions such as:

  • How accessible is analytics education to American college students?
  • Where do gaps in analytics programs remain?
  • How are analytics programs adapting to meet changing demands?

Download the full report to see how your institution stacks up.

Evidence Based Library and Information Practice

The Canadian journal Evidence Based Library and Information Practice shares research that informs professional library practice. The winter 2016 issue (https://ejournals.library.ualberta.ca/index.php/EBLIP) exemplifies this mission, having several data-based articles:

Amy Jo Catalano , Sharon Rose Phillips

Identifying and Classifying User Typologies Within a United Kingdom Hospital Library Setting: A Case Study

Alison Ambi , Pamela Morgan , Erin Alcock , Amanda Tiller-Hackett

Lynn Easton , Scott Adam , Trish Durnan , Lorraine McLeod

Making a Difference with Data

Government agencies have always collected data to support specific programs and purposes. However, it’s becoming increasingly clear that this information, when shared more broadly and analyzed, can be a powerful tool to support better decision-making and resource allocation in the public sector. Download this paper (http://www.governing.com/papers/Making-a-Difference-with-Data-49622.html?promo_code=gov_paper_email_161005&utm_term=Making-a-Difference-with-Data-49622.html&utm_campaign=%5BPapers%5D%20Making%20a%20Difference%20with%20Data%2C%20HHS%20in%20Transition%2C%20E-Government%20for%20Zika%20Prevention%20and%20More&utm_content=email&utm_source=Act-On+Software&utm_medium=email) to learn how states like Iowa, North Carolina and California are using analytics, as well as some of the most important do’s and don’ts for analytics initiatives.

Open Data Resources

Open data is data that “can be freely used, modified and shared by anyone for any purpose” (http://opendefinition.org/). Open data increases access, preservation, and impact. Increasingly, it is also a requirement as part of federal funding.

Librarians can facilitate its collection, organization, and its physical and intellectual access. Librarians can also help researchers in grantsmanship.

American Library Association’s EBSS section suggests these resources:

Here is another list of free data sets: http://www.datasciencecentral.com/forum/topics/more-free-data-sets

Databrarianship book

ACRL announces the publication of Databrarianship: The Academic Data Librarian in Theory and Practice. Edited by Lynda Kellam and Kristi Thompson, the work provides advice and insight on data services for all types of academic libraries and library educators.

Data service has become a critically important topic for academic libraries with the appearance of big data, open data, and particularly research data curation. Drawing on the expertise of a diverse community of practitioners, this nearly 400-page collection of case studies, original research, survey chapters, and theoretical explorations presents a wide-ranging look at the field of academic data librarianship.

By covering the data lifecycle from collection development to preservation, examining the challenges of working with different forms of data, and exploring service models suited to a variety of library types, this volume provides a toolbox of strategies that will allow librarians and administrators to respond creatively and effectively to the data deluge.

Lynda Kellam is the Data Services Librarian at the University of North Carolina at Greensboro’s University Libraries. Kristi Thompson is the Data Librarian at the University of Windsor and currently heads the systems department. Before coming to the University of Windsor in 2006, she was a Data Services Specialist at Princeton University, and she has also worked as a freelance digital librarian and web developer.

Databrarianship: The Academic Data Librarian in Theory and Practice is available for purchase through the ALA Online Store; Amazon.com; and by telephone order at (866) 746-7252 in the U.S. or (770) 442-8633 for international customers.

Library Improvement through Data Analytics: New Book

LesleyDataBooMore than ever, funding agencies are looking for cost effectiveness. Sound data analytics is the foundation for making an evidence-based case for library programs, in addition to guiding myriad organizational decisions, from optimizing operations for efficiency to responding to community needs for customer satisfaction. Designed to be useful for novices as well as those with a background in data, “Library Improvement Through Data Analytics,” published by ALA Neal-Schuman, introduces the basics of the Six Sigma framework as a model that can be applied to a variety of library settings. Helping readers make sense of data, authors Lesley S. J. Farmer and Alan M. Safer cover such key topics as:

  • the basics of statistical concepts;
  • recommended data sources for various library functions and processes, and guidance for using census, university, or chamber of commerce data in analysis;
  • techniques for cleaning data;
  • matching data to appropriate data analysis methods;
  • how to make descriptive statistics more powerful by spotlighting relationships;
  • 14 case studies which address such areas as digitization, e-book collection development, and reference; and
  • staffing, facilities, and instruction.

Dr. Farmer, professor at California State University, Long Beach (CSULB), coordinates the Librarianship Program. She chairs the International Federation of Library Associations and Institutions’ School Libraries Section and is a Fulbright Scholar. Dr. Farmer received the American Library Association Beta Phi Mu Award for distinguished service and library education. A frequent presenter and writer for the profession, Farmer has published over 30 professional books and more than a 100 professional book chapters and articles. Dr. Safer is a professor at California State University, Long Beach (CSULB) in the Department of Mathematics and Statistics. Early in his career at the university, he created a MS degree in Applied Statistics and later a professional accelerated MS degree in Applied Statistics for industry students from companies such as Boeing, Raytheon, and Northrop Grumman.  In 2012, he was appointed coordinator of a national conference on quality control sponsored by the American Statistical Association.

ALA Store purchases fund advocacy, awareness and accreditation programs for library professionals worldwide. Founded in 1976 by Patricia Glass Schuman and John Vincent Neal, Neal-Schuman Publishers, now an imprint of ALA Publishing, publishes professional books for librarians, archivists, and knowledge managers. Contact us at (800) 545-2433 ext. 5052 or editionsmarketing@ala.org.

Las Vegas CFP

LAST CALL  FOR   LATE BREAKING PAPERS, POSITION PAPERS, ABSTRACTS, POSTERS

Submission Deadline: June 10, 2016,  11:59pm US Eastern Time zone (EDT)

July 25-28, 2016, Monte Carlo Resort, Las Vegas, USA

The following conferences will be held simultaneously (same location
and dates):

HIMS’16:    The 2nd International Conference on Health Informatics
and Medical Systems
http://worldcomp.org/events/2016/conferences/hims2016

ABDA’16:    The 3rd International Conference on Advances in Big Data
Analytics
http://worldcomp.org/events/2016/conferences/abda2016

BIOCOMP’16: The 17th International Conference on Bioinformatics &
Computational Biology
http://worldcomp.org/events/2016/conferences/biocomp2016

DMIN’16:    The 12th International Conference on Data Mining
http://www.dmin-2016.com/

DOCTORAL COLLOQUIUM AND DEMO SESSION (DCDS-16):
http://dcds-16.synchrone-research.com/
Contact Person: Dr. Lamia Atma Djoudi (a.djoudi.lamia@gmail.com)
Synchrone technologies, France
dcds-16@synchrone-technologies.fr

INVITATION:

We anticipate having between 1,200 and 1,800 participants. Last year,
the Congress and its affiliated tracks had attracted speakers, authors,
and participants from over 178 different universities (including many
from the top 50 ranked institutions), major IT corporations, government research agencies, and a number of Venture Capitalists as well as distinguished speakers
discussing Intellectual Property issues.

All accepted papers will be published in printed conference books/proceedings, and will also be made available online. In addition, like prior years, extended versions of selected papers (about 40%) of the conference will appear in journals and edited research books (publishers include: Springer, Elsevier, BMC, and others); some
of these books and journal special issues have already received the top
25% most downloads in their respective fields. See the link below for
a very small subset of the books published mostly based on extended
versions of the accepted papers of this congress:
http://worldcomp.org/events/2016/worldcomp-books-journal-special-issues

ACRL Library Data Analytics Articles

The September 2015 issue of College & Research Libraries is now freely available online.  This issue has several good data analytics articles about libraries.

Articles
Forrest E. Link, Yuji Tosaka, and Cathy Weng. “Mining and Analyzing Circulation and ILL Data for Informed Collection Development.” Abstract | Full Text (PDF).
Kirsten Kinsley, Rachel Besara, Abby Scheel, Gloria Colvin, Jessica Evans Brady, and Melissa Burel. “Graduate Conversations: Assessing the Space Needs of Graduate Students.” Abstract | Full Text (PDF).
Francine May and Alice Swabey. “Using and Experiencing the Academic Library: A Multisite Observational Study of Space and Place.” Abstract | Full Text (PDF).
Brian Detlor and Kathryn Ball. “Getting More Value from the LibQUAL+® Survey: The Merits of Qualitative Analysis and Importance-Satisfaction Matrices in Assessing Library Patron Comments.” Abstract | Full Text (PDF).

Data Mining and Fair USe

ARL has released an “Issue Brief: Text and Data Mining and Fair Use in the United States,” which describes the role and usefulness of text and data mining, provides a short background of fair use, and presents an analysis of fair use in text and data mining, including eight cases that support fair use in this context. No researcher can read all relevant research articles that are published in her field of interest. Even if she could, she would not be able to detect patterns in the research results that emerge only from large-scale computational analysis, known as text and data mining (TDM). In almost all cases, performing TDM on accessible articles is a fair use…