a critically important means of uncovering patterns of intellectual practice and usage that have the potential for illuminating facets and perspectives in research and scholarship that might otherwise not be noted. At the same time, challenges exist in terms of project management and support, licensing and other necessary protections.
Confirmed speakers include: Audrey McCulloch, Executive Director, ALPSP; Michael Levine-Clark, Dean of Libraries, University of Denver; Ellen Finnie, Head, Scholarly Communications and Collections Strategies, Massachusetts Institute of Technology; and Jeremy Frey, Professor of Physical Chemistry, Head of Computational Systems Chemistry, University of Southampton, UK.
Audrey McCulloch, Chief Executive, Association of Learned Professional and Society Publishers (ALPSP) and Director of the Publishers Licensing Society
Text and Data Mining: Library Opportunities and Challenges Michael Levine-Clark, Dean and Director of Libraries, University of Denver
As scholars engage with text and data mining (TDM), libraries have struggled to provide support for projects that are unpredictable and tremendously varied. While TDM can be considered a fair use, in many cases contracts need to be renegotiated and special data sets created by the vendor. The unique nature of TDM projects makes it difficult to plan for them, and often the library and scholar have to figure them out as they go along. This session will explore strategies for libraries to effectively manage TDM, often in partnership with other units on campus and will offer suggestions to improve the process for all.
Michael Levine-Clark, the Dean and Director of the University of Denver Libraries, is the recipient of the 2015 HARRASOWITZ Leadership in Library Acquisitions Award. He writes and speaks regularly on strategies for improving academic library collection development practices, including the use of e-books in academic libraries, the development of demand-driven acquisition models, and implications of discovery tool implementation.
Library licensing approaches in text and data mining access for researchers at MIT Ellen Finnie, Head, Scholarly Communications & Collections Strategy, MIT Libraries
This talk will address the challenges and successes that the MIT libraries have experienced in providing enabling services that deliver TDM access to MIT researchers, including:
· emphasizing TDM in negotiating contracts for scholarly resources
· defining requirements for licenses for TDM access
· working with information providers to negotiate licenses that work for our researchers
· addressing challenges and retooling to address barriers to success
· offering educational guides and workshops
· managing current needs v. the long-term goal– TDM as a reader’s right
Ellen Finnie is Head, Scholarly Communications & Collections Strategy in the MIT Libraries. She leads the MIT Libraries’ scholarly communications and collections strategy in support of the Libraries’ and MIT’s objectives, including in particular efforts to influence models of scholarly publishing and communication in ways that increase the impact and reach of MIT’s research and scholarship and which promote open, sustainable publishing and access models. She leads outreach efforts to faculty in support of scholarly publication reform and open access activities at MIT, and acts as the Libraries’ chief resource for copyright issues and for content licensing policy and negotiations. In that role, she is involved in negotiating licenses to include text/data mining rights and coordinating researcher access to TDM services for licensed scholarly resources. She has written and spoken widely on digital acquisitions, repositories, licensing, and open access.
Jeremy Frey, Professor of Physical Chemistry, Head of Computational Systems Chemistry, University of Southampton, UK
Text and Data Mining (TDM) facilitates the discovery, selection, structuring, and analysis of large numbers of documents/sets of data, enabling the visualization of results in new ways to support innovation and the development of new knowledge. In both academia and commercial contexts, TDM is increasingly recognized as a means to extract, re-use and leverage additional value from published information, by linking concepts, addressing specific questions, and creating efficiencies. But TDM in practice is not straightforward. TDM methodology and use are fast changing but are not yet matched by the development of enabling policies.
This webinar provides a review of where we are today with TDM, as seen from the perspective of the researcher, library, and licensing-publisher communities.
***”Culture & Technology” – European Summer University in Digital
Humanities (ESU DH C & T) 19th to 29th of July, University of Leipzig* http://www.culingtec.uni-leipzig.de/ESU_C_T/
The Summer University takes place across 11 whole days. The intensive
programme consists of workshops, public lectures, regular project
presentations, a poster session, and a panel discussion.
The *workshop programme* is composed of the following thematic strands:
– XML-TEI encoding, structuring and rendering
– Compilation, Annotation und Analysis of Written Text Corpora. Introduction to Methods and Tools
– Comparing Corpora
– Digital Editions and Editorial Theory: Historical Texts and Documents
– Searching Linguistic Patterns in Large Text Corpora for Digital Humanities Research
– Lexicometric text analysis using CLARIN-D Webservices and R
– Stylometry
– Spoken Language and Multimodal Corpora
– Digital Lexica, Terminological Databases and Encyclopaedias: Contents, Structures and Formats
– Exploring art and technology within contemporary network culture. A close look at net art, digital art curation and its impact on the culture heritage sector
– From Text to Map. Modeling Historical Humanities Data in Mapping
Environments
– Project Management
– Data management for the humanities: from data warehousing to legal and ethical implication
– Digital Research Infrastructures in the Humanities: How to Use, Build and Maintain Them
Workshops are normally structured in such a way that participants can either take the two blocks of one workshop or two blocks from different workshops. The number of participants in each workshop is limited to 10. For more information see: http://www.culingtec.uni-leipzig.de/ESU_C_T/node/621
The Summer University is directed at 60 participants from all over Europe and beyond. It wants to bring together (doctoral) students, young scholars and academics from the Arts and Humanities, Library Sciences, Social Sciences, Engineering and Computer Sciences as equal partners to an interdisciplinary exchange of knowledge and experience in a multilingual and multicultural context and thus create the conditions for future project-based cooperations and network-building across the borders of disciplines, countries, languages and cultures.
The Summer University seeks to offer a space for the discussion and acquisition of new knowledge, skills and competences in those computer technologies which play a central role in Humanities Computing and which determine every day more and more the work done in the Humanities and Cultural Sciences, as well as in publishing, libraries, and archives, to name only some of the most important areas. The Summer University aims at integrating these activities into the broader context of the Digital Humanities, which pose questions about the consequences and implications of the application of computational methods and tools to cultural artefacts of all kinds.
In all this the Summer University aims at confronting the so-called Gender Divide , i.e. the under-representation of women in the domain of Information and Communication Technologies (ICT) in Germany and Europe. But, instead of strengthening the hard sciences as such by following the way taken by so many measures which focus on the so-called STEM disciplines and try to convince women of the attractiveness and importance of Computer Science or Engineering, the Summer University relies on the challenges that the Humanities with their complex data and their wealth of women represent for Computer Science and Engineering and
the further development of the latter, on the overcoming of the boarders between the so-called hard and soft sciences and on the integration of Humanities, Computer Science and Engineering.
As the Summer University is dedicated not only to the acquisition of knowledge and skills, but wants also to foster community building and networking across disciplines, languages and cultures, countries and continents, the programme of the Summer School features also communal coffee breaks, communal lunches in the refectory of the university, and a rich cultural programme (thematic guided tours, visits of archives, museums and exhibitions, and communal dinners in different parts of Leipzig).
For all relevant information please consult the Web-Portal of the European Summer School in Digital Humanities “Culture & Technology”: http://www.culingtec.uni-leipzig.de/ESU_C_T/ which will be continually updated and integrated with more information as soon as it becomes available.
For questions about the European Summer University please use esu_ct@uni-leipzig.de
With best regards, Elisabeth Burr
After surveying more than 4,650 educators, we learned that teachers are essentially trying to do three things with data—each of which technology can dramatically improve:
The U.S. Department of Education has increasingly encouraged and funded states to collect and analyze information about students: grades, state test scores, attendance, behavior, lateness, graduation rates and school climate measures like surveys of student engagement.
The argument in favor of all this is that the more we know about how students are doing, the better we can target instruction and other interventions. And sharing that information with parents and the community at large is crucial. It can motivate big changes.
what might be lost when schools focus too much on data. Here are five arguments against the excesses of data-driven instruction.
The National Education Policy Center releases annual reports on commercialization and marketing in public schools. In its most recent report in May, researchers there raised concerns about targeted marketing to students using computers for schoolwork and homework. Companies like Google pledge not to track the content of schoolwork for the purposes of advertising. But in reality these boundaries can be a lot more porous. For example, a high school student profiled in the NEPC report often consulted commercial programs like dictionary.com and Sparknotes: “Once when she had been looking at shoes, she mentioned, an ad for shoes appeared in the middle of a Sparknotes chapter summary.”
4) Missing What Data Can’t Capture
Computer systems are most comfortable recording and analyzing quantifiable, structured data. The number of absences in a semester, say; or a three-digit score on a multiple-choice test that can be graded by machine, where every question has just one right answer.
5) Exposing Students’ “Permanent Records”
In the past few years several states have passed laws banning employers from looking at the credit reports of job applicants. Employers want people who are reliable and responsible. But privacy advocates argue that a past medical issue or even a bankruptcy shouldn’t unfairly dun a person who needs a fresh start.
Digital Technology Is Changing the Career Landscape
People are living longer.
Technology can now augment and extend our own abilities.
Daily life is now computational as innovations in sensors and processing make our world a programmable system.
Our new media ecology and advances in communications systems require media literacies beyond text.
Social technologies are driving new forms of production and value creation.
Our world is now globally connected, highlighting diversity and adaptability.
Digital Literacy Is a Professional Competency
media-rich education, including interactive approaches such as digital storytelling or remix education, ensures that students are familiar with modern tools and “natural language” modes of expression. We are increasingly moving into what many scholars consider a post-literate world, one in which images, video, and the written or spoken word are used fluidly together, symbiotically, to communicate increasingly complex concepts. Modern rhetoric now includes TED talks, animated lectures, visual essays, and a plethora of other interactive and dynamic multimedia.
Smart Classrooms = Smart Workers
ten, technology-oriented strengths as “must haves” for future employers:
An ability to determine deeper meaning or significance of what is being expressed via all mediums.
An ability to connect with others in a meaningful and direct way via modern technologies and our global networks.
A proficiency in problem-solving and critical analysis, especially when working with digital relationships or data.
An ability to adapt to different cultural settings and modalities, necessitated by our global media ecosystem.
An ability to translate specific information and data into abstracts while understanding the underlying reasoning.
An ability to critically assess and develop content that uses evolving digital media, leveraging these tools for direct and persuasive communication.
A transdisciplinary, multimedia mindset that eschews specialized or localized intelligences.
A design or goal-oriented mindset that employs systems thinking and that develops tasks and work processes towards a desired outcome.
An ability to discriminate and filter both digital and analog information for importance, while maximizing cognitive and productivity efficiencies.
An ability to work productively and innovatively via virtual collaboration.
Digital Backpack, is certainly one of the first steps, as is developing an educational framework within which students can meanfully and productively interrogate our technologically driven world.
“Schools are beginning to use data and analytics (D&A) to enhance areas such as enrollment, budgeting and fundraising,” according to “Embracing Innovation,” KPMG’s 2015-2016 Higher Education Industry Outlook Survey of 102 senior higher education leaders
An April 2015 white paper from Oracle, “Improving Higher Education Performance with Big Data,” points to diverse use cases that could drive D&A initiatives, from student acquisition and retention to research optimization to operational efficiency.
The U.S. Bureau of Labor Statistics backs that up, predicting that employment of statisticians will grow 34 percent between 2014 and 2024. Not surprisingly, the bureau notes, that is “much faster than the average for all occupations.”
Etiquette. Students need to understand how their technology use affects others. Remind them that there is a person on the other end of their text, tweet, comment or post.
Access. Not everyone has the same opportunities with technology, whether the issue is physical, socio-economic or location. Those who have more access to technology need to help those who don’t.
Law. The ease of using online tools has allowed some people to steal, harass and cause problems for others online. Students need to know they can’t take content without permission, or at least give credit to those who created it.
E is for educating yourself and others.
Literacy. Learning happens everywhere. Regardless of whether we get our information from friends, family or online, we need to be aware that it might not be correct. Students need to understand technology and what it can do and be willing to learn new skills so they can use it properly.
Communication. Knowing when and where to use technology is important. Using email, text or social media may not be the best method for interacting with someone. Students need to think about the message first, then the method, and decide if the manner and audience is appropriate.
Commerce. Technology allows us to buy and sell across the globe. Students should be careful about sharing personal and credit card information. Online commerce comes with risks.
P is for protecting yourself and others.
Rights and responsibilities. Build trust so that if something happens online, students are willing to share their problems or concerns about what has happened. Students should know who they are friends with on social networking sites so that they can remain safe online.
Security. It is everyone’s responsibility to guard their tools and data by having software and applications that protect them from online intruders. When we are all connected, everyone is responsible for security.
Health and wellness. There needs to be a balance between the online world and the real world. Students should establish limits with technology and spend quality face-to-face time with friends and family.
Assessment exercises for institutional libraries are frequently a double-edged sword; they’re as readily used to justify cuts as they are to bolster budgets. This NISO virtual conference provides expert insights into how data gathered in the normal course of activities can be leveraged to demonstrate value to the parent institution. Data represent the raw material for building your case. What data are available? How is their quality? What is the appropriate context for persuasively presenting that data to deans, provosts and other administrators? This virtual conference will address the very hot topic of library assessment in the context of a changing educational environment and features a complete roster of expert speakers, including:
Steven J. Bell, Associate University Librarian, Temple University
Nancy Turner, Assessment and Organizational Performance Librarian, Temple University
Jocelyn Wilk, University Archivist, Columbia University
Elisabeth Brown, Director of Assessment & Scholarly Communications Librarian, SUNY-Binghamton
Ken Varnum, Senior Program Manager for Discovery, Delivery, & Learning Analytics, University of Michigan
Jan Fransen, Service Lead for Researcher and Discovery Systems, University of Minnesota
Kristi Holmes, Directer, Galter Health Sciences Library, Northwestern University
Starr Hoffman, Head, Planning & Assessment, University of Nevada – Las Vegas
Carl Grant, Chief Technology Officer and Associate University Librarian for Knowledge Services, University of Oklahoma
The preliminary agenda and pricing information for this event may be found at:
As a bonus, register for the virtual conference and receive an automatic registration for the follow-up training webinar, Making Assessment Work: Using ORCIDS to Improve Your Institutional Assessments, on Thursday, April 28!
Paul Scifleet
Charles Sturt University, School of Information Studies, Chalres Sturt University, Wagga Wagga, NSW 2678, Australia Maureen Henninger
Information & Knowledge Management Program, Faculty of Humanities and Social Sciences, University of Technology, Sydney, Australia
Kathryn H. Albright
Charles Sturt University, School of Information Studies, Chalres Sturt University, Wagga Wagga, NSW 2678, Australia
The view we bring to this study is one of documentary practice as the set of techniques, including processes for the selection, synthesis and interpretation of the material form of documents and their content, meaning and context, that librarianship brings to the organization and management of knowledge (Briet, 2006; Pédauque, 2003). Current emphases in social media research on ‘big data’ and quantitative analysis are distracting from the significant role social media have to play as a record of social significance that should be brought into public custody for future use.
In its multiple manifestations, social media are “a new kind of cultural artefact” (Lyman and Kahle, 1998, para 15), as was the World Wide Web when Brewster Kahle set up the Internet Archive, reasoning that “in future it may provide the raw material for a carefully indexed, searchable library” (Kahle, 1997, p. 82). My note: what the German start promoting in the 60s as Alltagsgeschichte.
the possibility of selective acquisition and management of social media, as a document of specific events and topics, as an alternative to the Library of Congress’s whole-of-archive approach with Twitter.
Instruction and Liaison Librarian, University of Northern Iowa
games and gamification. the semantics are important. using the right terms can be crucial in the next several years.
gamification for the enthusiasm. credit course with buffet. the pper-to-peer is very important
gaming types
affordability; east to use; speed to create.
assessment. if you want heavy duty, SPSS kind of assessment, use polldaddy or polleverywhere.
Kahoot only Youtube, does not allow to upload own video or use Kaltura AKA Medispace, text versus multimedia
Kahoot is replacing Voicethread at K12, use the wave
Kahoot allows to share the quizzes and surveys
Kahoot is not about assessment, it is not about drilling knowledge, it is about conversation starter. why do we read an article? there is no shame in wrong answer.
the carrot: when they reach the 1000 points, they can leave the class
Kahoot music can be turned off, how short, the answers are limited like in Twitter
Quizlet
screenshot their final score and reach 80%
gravity is hard, scatter start with. auditory output
drill game
Teach Challenge.
1st day is Kahoot, second day is Team challange and test
embed across the curriculum
gaming toolkit for campus
what to take home: have students facing students from differnt library
In the age of Big Data, there is an abundance of free or cheap data sources available to libraries about their users’ behavior across the many components that make up their web presence. Data from vendors, data from Google Analytics or other third-party tracking software, and data from user testing are all things libraries have access to at little or no cost. However, just like many students can become overloaded when they do not know how to navigate the many information sources available to them, many libraries can become overloaded by the continuous stream of data pouring in from these sources. This session will aim to help librarians understand 1) what sorts of data their library already has (or easily could have) access to about how their users use their various web tools, 2) what that data can and cannot tell them, and 3) how to use the datasets they are collecting in a holistic manner to help them make design decisions. The presentation will feature examples from the presenters’ own experience of incorporating user data in decisions related to design the Bethel University Libraries’ web presence.
data tools: user testing, google analytics, click trakcer vendor data
user testing, free, no visualization, cross-domain, easy to use, requires scripts
qualitative q/s : why people do what they do and how will users think about your content
3 versions: variables: options on book search and order/wording of the sections in the articles tab
Findings: big difference between tabs versus single-page. Lil difference btw single-page options. Take-aways it won’t tell how to fix the problem, how to be empathetic how the user is using the page
Like to do in the future: FAQ and Chat. Problem: low use. Question how to make it be used (see PPT details)
Crazy Egg – Click Trackers. not a free tool, lowest tier, less $10/m.
see PPT for details>
interaction with the pates, clicks and scrollings
scroll analytics
not easy to use, steep learning curve
“blob” GAnalytics recognize the three different domains that r clicked through as one.
vendor data: springshare
chat and FAQ
Libguides
questions:
is there a dashboard tool that can combine all these tools?
optimal workshop: reframe, but it is more about qualitative data.
how long does it take to build this? about two years in general, but in the last 6 months focused.
by Amy Burroughs
