Libraries are overlooked and underfunded organizations that play a critical role in today’s society by providing free programs, resources, and services to millions of adults, children, and youth everyday around the United States. But many libraries lack the resources and support to innovate and build upon the ways they can meet their communities’ needs.
With support from the John S. and James L. Knight Foundation, Visualizing Funding for Libraries’ Data Tool is developed by Foundation Center to help libraries and their supporters find funding opportunities, increase understanding of funding sources, and track funding trends: http://libraries.foundationcenter.org/
Librarians and information professionals have always worked with data in order to meet the information needs of their constituents, thus “Big Data” is not a new concept for them though it is spawning new approaches along with a language all its own.
In The Accidental Data Scientist, Amy Affelt shows information professionals how to leverage their skills and training to master emerging tools, techniques, and vocabulary; create mission-critical Big Data research deliverables; and discover rewarding new career opportunities by embracing their inner Data Scientist.
You can get your copy of The Accidental Data Scientist at the ITI bookstore for $35.55.
San Diego State University Library & Information Access seeks applications and nominations of dynamic, innovative, and service-oriented candidates for the position of Data Analytics Librarian. This position is located within the SDSU Library’s Information & Digital Technologies Division and will be appointed at the Senior Assistant Librarian rank. The Data Analytics Librarian will develop and promote Library services related to the discovery, evaluation, and manipulation of data and the use of statistical or other analytical tools. The incumbent will lead workshops, programs and other projects to support analytical research, and collaborate with colleagues to build capacity for the use of data and analytical methods across disciplines. The Data Analytics Librarian also serves as a research consultant, liaison, and collaborator with faculty and students in business and social science programs.
This position will remain open until filled. Review will begin immediately. Preference will be given to applications received by February 20, 2017. Applicants must apply via Interfolio. Anticipated start date is July 2017.
Submit applications at Interfolio at https://apply.interfolio.com/40220 and submit the following documents: 1) Cover Letter, 2) Curriculum Vitae, 3) applicant statement outlining their commitment to diversity within the context of technical services, and 4) contact information for three professional references.
For more information, go to http://library.sdsu.edu/about-us/employment-opportunities
Early bird registration for Empirical Librarians 2017 ends February 6th. Come join us at a great mini-conference in Greensboro, NC where we talk about librarians who DO research and librarians who SUPPORT research. We have a great range of topics being presented this year, as well as a fantastic chance to network with other people who talk research.
See our program at http://www.library.ncat.edu/emplibs/el2017program.html for more! Build a better survey or build your scholarly communications and data services, we have something for you. Prefer non-empiricist research? Worry not, digital humanities topics are on the schedule too! And our keynote speaker is the incomparable Gary Marchionini, Dean of the UNC School of Information and Library Science. We’ve put in all the research we could pack, into one $40 library conference.
Vincent Granville lists several good articles on clustering. This resource is part of a series on specific topics related to data science. To receive notices about these kinds of articles, sign up on DSC.
- Fast clustering algorithms for massive datasets
- Clustering idea for very large datasets
- Spectral Clustering – How Math is Redefining Decision Making
- Variance, Clustering, and Density Estimation Revisited
- K Means Clustering – Effect of random seed
- Crazy Data Science Tutorial: Classification and Clustering
- Newbie trying to cluster mixed data type variables in SAS
- Feature engineering for building clustering models
- Ward’s Method for clustering in SAS
- Clustering responses to define dependent variable for logistic regr…
- Clustering with non numeric data
- Find Marketing Clusters in 20 minutes in R
- Jackknife logistic and linear regression for clustering and predict…
- Cluster analysis
Vincent Granville lists several good articles and tutorials about correlation. This resource is part of a series on specific topics related to data science. To receive notices about these resources, sign up on DSC.
- Tutorial: How to detect spurious correlations – and how to find the real ones
- How to find out if it’s correlation or causation
- Correlation does not imply causation
- Correlation and R-Squared for Big Data
- Spurious correlations: 15 examples
- How to Lie with Visualizations – Statistics, Causation vs Correlation
- Associations and Correlations: The Essential Elements – Book
- Examining correlation
- The best kept secret about linear and logistic regression
- Excluding variables from a logistic regression model – based on correlation
- Another book about correlation vs. causation
- High crime rates explained by gasoline lead. Really?
- Comparing Copulas and Rank Order Correlation
Becoming a Lean Library: Lessons from the World of Technology Start-ups provides a guide to the process and approach necessary to manage product development. Using techniques and philosophies pioneered by Toyota’s lean manufacturing success, Becoming a Lean Library provides library leadership advice and tips on making the library more nimble, lean, and responsive to technological change.
Early chapters introduce the reader to the idea of lean start-ups in libraries, followed by chapters covering library systems, lessons from lean manufacturing, and the build-measure-learn model. Remaining chapters discuss technology change and DevOps as a lean strategy, while also giving the reader the opportunity to earn a professional online “badge” on the subject material of the book.
The cost starts at $63. For more information please click on:
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: email@example.com
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.
- Shah, C., and Gonzalez-Ibanez, R. (2011). Evaluating the synergic effect of collaboration in information seeking. Proceedings of ACM SIGIR, pp. 913-922. Beijing, China.
- Shah, C., Gonzalez-Ibanez, R. (2012). Spatial context in collaborative information seeking. Journal of Information Science (JIS). 38(4), 333-349.
- Gonzalez-Ibanez, R., Haseki, M., and Shah, C. (2013). Let’s search together, but not too close! An analysis of communication and performance in collaborative information seeking. Information Processing & Management, 49(5), 1165-1179.
Note that this dataset is also being used for the Second International Workshop on the Evaluation on Collaborative Information Seeking and Retrieval (ECol) to be held at the ACM CHIIR 2017 conference in Oslo, Norway on March 11, 2017. More details are here: https://www.irit.fr/ECol2017/.