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.
More information is available at http://www.library.ncat.edu/emplibs. Register at https://ncat.gosignmeup.com/empirical2017/ to join us.
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.
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.
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: firstname.lastname@example.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.
Rutgers University announces the availability of the Collaborative Information Seeking Lab Experiments Dataset. The data are from a set of lab experiments conducted by Chirag Shah and Roberto Gonzalez-Ibanez at Rutgers University in 2010-2011. It contains interaction logs (queries, page visits, relevance judgments, and snippets collected) by a total of 160 participants in 80 teams, with each team working on an exploratory search task for about 30 minutes in a controlled lab setting. The data were collected using Coagmento (http://coagmento.org/
). The dataset can be downloaded from http://infoseeking.org/data.php#cis2010
Following is a small selection of papers that use the data that one can cite.
- 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/.
They hope this dataset, which took months to collect, would be a useful resource to researchers working in the fields of interactive IR, as well as social/collaborative search.
Suni Kappal posts his list of the most common basic analytical and statistical mistakes. He divides his list into visualization errors and statistical blunders. See his blog entry at http://www.datasciencecentral.com/profiles/blogs/the-most-common-analytical-and-statistical-mistakes
Google has updated its learning management system (LMS), Google Classroom, with new features for differentiated instruction, management of student work and analytics.
As a result of the update, teachers will be able to share assignments, questions or posts with an individual student, a small group or the entire classroom in a move designed to make it easier to differentiate instruction based on individual student needs.
For administrators, the new update will bring Classroom data to Admin Console Reports. Administrator users will now be able to see Classroom metrics on usage, how many posts are being created overall or by individual users.
The company has also updated the Classroom API to improve integrations with other tools, allowing them to “programmatically add materials to coursework or student submissions and can modify existing coursework they’ve created,” according to information released by Google.
More information about that investigation is available at google.com.
Libraries spend considerable amounts of money licensing different types of online content to support their users’ needs. User activity, in relation to this content, needs to be continually assessed to ensure that this money is spent as productively as possible.
COUNTER sets and maintains the standard known as the Code of Practice and ensures that publishers and vendors submit annually to a rigorous independent audit. This ensures that librarians are able to compare usage statistics from different vendors; derive useful metrics such as cost-per-use; make better-informed purchasing decisions; and plan infrastructure more effectively.
Libraries and library consortia are invited to support COUNTER by joining as a member.
Usus is a community website on library usage, supported by COUNTER.