p. 766
Visualizations of library data have been used to: • reveal relationships among subject areas for users. • illuminate circulation patterns. • suggest titles for weeding. • analyze citations and map scholarly communications
Each unit of data analyzed can be described as topical, asking “what.”6 • What is the number of courses offered in each major and minor? • What is expended in each subject area? • What is the size of the physical collection in each subject area? • What is student enrollment in each area? • What is the circulation in specific areas for one year?
libraries, if they are to survive, must rethink their collecting and service strategies in radical and possibly scary ways and to do so sooner rather than later. Anderson predicts that, in the next ten years, the “idea of collection” will be overhauled in favor of “dynamic access to a virtually unlimited flow of information products.” My note: in essence, the fight between Mark Vargas and the Acquisition/Cataloguing people
The library collection of today is changing, affected by many factors, such as demanddriven acquisitions, access, streaming media, interdisciplinary coursework, ordering enthusiasm, new areas of study, political pressures, vendor changes, and the individual faculty member following a focused line of research.
subject librarians may see opportunities in looking more closely at the relatively unexplored “intersection of circulation, interlibrary loan, and holdings.”
Using Visualizations to Address Library Problems
the difference between graphical representations of environments and knowledge visualization, which generates graphical representations of meaningful relationships among retrieved files or objects.
Exhaustive lists of data visualization tools include: • the DIRT Directory (http://dirtdirectory.org/categories/visualization) • Kathy Schrock’s educating through infographics (www.schrockguide.net/ infographics-as-an-assessment.html) • Dataviz list of online tools (www.improving-visualisation.org/case-studies/id=5)
Eugene O’Loughlin, National College of Ireland, is very helpful in composing the charts and is found here: https://youtu.be/4FyImh2G7N0.
p. 771 By looking at the data (my note – by visualizing the data), more questions are revealed, The visualizations provide greater comprehension than the two-dimensional “flatland” of the spreadsheets, in which valuable questions and insights are lost in the columns and rows of data.
By looking at data visualized in different combinations, library collection development teams can clearly compare important considerations in collection management: expenditures and purchases, circulation, student enrollment, and course hours. Library staff and administrators can make funding decisions or begin dialog based on data free from political pressure or from the influence of the squeakiest wheel in a department.
what is shall and what does it do. language close to computers, fast.
what is “bash” . cd, ls
shell job is a translator between the binory code, the middle name. several types of shells, with slight differences. one natively installed on MAC and Unix. born-again shell
bash commands: cd change director, ls – list; ls -F if it does not work: man ls (manual for LS); colon lower left corner tells you can scrool; q for escape; ls -ltr
arguments is colloquially used with different names. options, flags, parameters
cd .. – move up one directory . pwd : see the content cd data_shell/ – go down one directory
cd ~ – brings me al the way up . $HOME (universally defined variable
the default behavior of cd is to bring to home directory.
the core shall commands accept the same shell commands (letters)
$ du -h . gives me the size of the files. ctrl C to stop
$ clear . – clear the entire screen, scroll up to go back to previous command
man history $ history $! pwd (to go to pwd . $ history | grep history (piping)
$ cat (and the file name) – standard output
$ cat ../
+++++++++++++++
how to edit and delete files
to create new folder: $ mkdir . – make directory
text editors – nano, vim (UNIX text editors) . $ nano draft.txt . ctrl O (save) ctr X (exit) .
$ vim . shift esc (key) and in command line – wq (write quit) or just “q”
$ mv draft.txt ../data . (move files)
to remove $ rm thesis/: $ man rm
copy files $cp $ touch . (touches the file, creates if new)
C and C++. scripting purposes in microbiology (instructor). libraries, packages alongside Python, which can extend its functionality. numpy and scipy (numeric and science python). Python for academic libraries?
going out of python $ quit () . python expect beginning and end parenthesis
new terminal needed after installation. anaconda 5.0.1
python 3 is complete redesign, not only an update.
python is object oriented and i can define the objects
python creates its own types of objects (which we model) and those are called “DataFrame”
method applied it is an attribute to data that already exists. – difference from function
data.info() . is function – it does not take any arguments
whereas
data.columns . is a method
print (data.T) . transpose. not easy in Excel, but very easy in Python
data = pandas.read_csv(‘/Users/plamen_local/Desktop/data/gapminder_gdp_oceania.csv’ , index_col=’country’)
data.loc[‘Australia’].plot()
plt.xticks(rotation=10)
GD plot 2 is the most well known library.
xelatex is a PDF engine. reST restructured text like Markdown. google what is the best PDF engine with Jupyter
four loops . any computer language will have the concept of “for” loop. In Python: 1. whenever we create a “for” loop, that line must end with a single colon
2. indentation. any “if” statement in the “for” loop, gets indented
Ercegovac, Z., & Richardson, J. J. (2004). Academic Dishonesty, Plagiarism Included, in the Digital Age: A Literature Review. College & Research Libraries, 65(4), 301-318.
what constitutes plagiarism, how prevalent plagiarism is in our schools, colleges, and society, what is done to prevent and reduce plagiarism, the attitudes of faculty toward academic dishonesty in general, and individual differences as predictors of academic dishonesty
the interdisciplinary nature of the topic and the ethical challenges of accessing and using information technology, especially in the age of the Internet. Writings have been reported in the literatures of education, psychology, and library and information studies, each looking at academic dishonesty from different perspectives. The literature has been aimed at instructors and scholars in education and developmental psychology, as well as college librarians and school media specialists.
Although the literature appears to be scattered across many fields, standard dictionaries and encyclopedias agree on the meaning of plagiarism.
According to Webster’s, plagiarism is equated with kidnapping and defined as “the unauthorized use of the language and thoughts of another author and the representation of them as one’s own.”(FN10) The Oxford English Dictionary defines plagiarism as the “wrongful appropriation or purloining, and publication as one’s own, of the ideas, or the expression of the ideas (literary, artistic, musical, mechanical, etc.).”(
plagiarism is an elusive concept and has been treated differently in different contexts.
different types of plagiarism: direct plagiarism; truncation (where strings are deleted in the beginning or ending); excision (strings are deleted from the middle of sentences); insertions; inversions; substitutions; change of tense, person, number, or voice; undocumented factual information; inappropriate use of quotation marks; or paraphrasing.
defined plagiarism as a deliberate use of “someone else’s language, ideas, or other original (not common-knowledge) material without acknowledging its source.”(FN30) This definition is extended to printed and digital materials, manuscripts, and other works. Plagiarism is interrelated to intellectual property, copyright, and authorship, and is discussed from the perspective of multiculturalism.(FN31)
Jeffrey Klausman made three distinctions among direct plagiarism, paraphrase plagiarism, and patchwork plagiarism
+++++++++++++++
Cosgrove, J., Norelli, B., & Putnam, E. (2005). Setting the Record Straight: How Online Database Providers Are Handling Plagiarism and Fabrication Issues. College & Research Libraries, 66(2), 136-148.
None of the database providers used links for corrections. Although it is true that the structure of a particular database (LexisNexis, for instance) may make static links more difficult to create than appending corrections, it is a shame that the most elemental characteristic of online resources–the ability to link–is so underutilized within the databases themselves.
Finding reliable materials using online databases is difficult enough for students, especially undergraduates, without having to navigate easily fixed pitfalls. The articles in this study are those most obviously in need of a correction or a link to a correction–articles identified by the publications themselves as being flawed by error, plagiarism, or fabrication. Academic librarians instruct students to carefully evaluate the literature in their campuses’ database resources. Unfortunately, it is not practical to expect undergraduate students to routinely search at the level necessary to uncover corrections and retractions nor do librarians commonly have the time to teach those skills.
This 90 minute webinar will bring participants up to speed on the current state of altmetrics, and focus in on changes across the scholarly ecosystem. Through sharing of use cases, tips, and open discussion, this session will help participants to develop a nuanced, strategic framework for incorporating and promoting wider adoption of altmetrics throughout the research lifecycle at their institution and beyond.
Definition by National Information Standards Organization NISO (http://www.niso.org/home/): Altmetrics is a broad term that encapsulates the digital collection, creation, and use of multiple forms of assessment that are derived from activity and engagement among diverse stakeholders and scholarly outputs in the research ecosystem.”
Altmetrics are data that help us understand how often and by whom research objects are discussed, shared, and used on the social Web.”
“When I hear the word ‘culture,’ I reach for my revolver.”
Kultur, he explains (along with Bildung, or education), denoted in pre-unification Germany those qualities that the intellectuals and professionals of the small, isolated German middle class claimed for themselves in response to the disdain of the minor German nobles who employed them: intellectual achievement, of course, but also simple virtues like authenticity, honesty, and sincerity.
German courtiers, by contrast, according to the possessors of Kultur, had acquired “civilization” from their French tutors: manners, social polish, the cultivation of appearances. As the German middle class asserted itself in the nineteenth century, the particular virtues of Kultur became an important ingredient in national self-definition. The inferior values of “civilization” were no longer attributed to an erstwhile French-educated German nobility, but to the French themselves and to the West in general.
By 1914, the contrast between Kultur and Zivilisation had taken on a more aggressively nationalist tone. During World War I German patriotic propaganda vaunted the superiority of Germany’s supposedly rooted, organic, spiritual Kultur over the allegedly effete, shallow, cosmopolitan, materialist, Jewish-influenced “civilization” of Western Europe. Martin’s book shows how vigorously the Nazis applied this traditional construct.
Goebbels and Hitler were as obsessed with movies as American adolescents are today with social media.
Music was a realm that Germans felt particularly qualified to dominate. But first the German national musical scene had to be properly organized. In November 1933 Goebbels offered Richard Strauss the leadership of a Reich Music Chamber.
Goebbels organized in Düsseldorf in 1938 a presentation of “degenerate music” following the better-known 1937 exhibition of “degenerate art.”
As with music, the Nazis were able to attract writers outside the immediate orbit of the Nazi and Fascist parties by endorsing conservative literary styles against modernism, by mitigating copyright and royalty problems, and by offering sybaritic visits to Germany and public attention.
Painting and sculpture, curiously, do not figure in this account of the cultural fields that the Nazis and Fascists tried to reorganize “inter-nationally,” perhaps because they had not previously been organized on liberal democratic lines. Picasso and Kandinsky painted quietly in private and Jean Bazaine organized an exhibition with fellow modernists in 1941. Nazi cultural officials thought “degenerate” art appropriate for France.
Science would have made an interesting case study, a contrary one. Germany dominated the world of science before 1933. Germans won fifteen Nobel Prizes in physics, chemistry, and physiology or medicine between 1918 and 1933, more than any other nation. Far from capitalizing on this major soft power asset, Hitler destroyed it by imposing ideological conformity and expelling Jewish scientists such as the talented nuclear physicist Lise Meitner. The soft power of science is fragile, as Americans may yet find out.
American soft power thrived mostly through the profit motive and by offering popular entertainment to the young.
+++++++++++++++
The Original Axis of Evil
THE ANATOMY OF FASCISM By Robert O. Paxton. 321 pp. New York: Alfred A. Knopf. $26.
fascism — unlike Communism, socialism, capitalism or conservatism — is a smear word more often used to brand one’s foes than it is a descriptor used to shed light on them.
World War I and the Bolshevik Revolution of 1917 contributed mightily to the advent of fascism. The war generated acute economic malaise, national humiliation and legions of restive veterans and unemployed youths who could be harnessed politically. The Bolshevik Revolution, but one symptom of the frustration with the old order, made conservative elites in Italy and Germany so fearful of Communism that anything — even fascism — came to seem preferable to a Marxist overthrow.
Paxton debunks the consoling fiction that Mussolini and Hitler seized power. Rather, conservative elites desperate to subdue leftist populist movements ”normalized” the fascists by inviting them to share power. It was the mob that flocked to fascism, but the elites who elevated it.
Fascist movements and regimes are different from military dictatorships and authoritarian regimes. They seek not to exclude, but rather to enlist, the masses. They often collapse the distinction between the public and private sphere (eliminating the latter). In the words of Robert Ley, the head of the Nazi Labor Office, the only private individual who existed in Nazi Germany was someone asleep.
t was this need to keep citizens intoxicated by fascism’s dynamism that made Mussolini and Hitler see war as both desirable and necessary. ”War is to men,” Mussolini insisted, ”as maternity is to women.”
For every official American attempt to link Islamic terrorism to fascism, there is an anti-Bush protest that applies the fascist label to Washington’s nationalist rhetoric, assault on civil liberties and warmaking.
Web search engines such as Google, Bing, and Yahoo are integral to making information more discoverable on the open web. How can you expose data about your organization, its services, people, collections, and other information in a way that is meaningful to these search engines?
In this 90 minute session, learn how to leverage Schema.org and semantic markup to achieve enhanced discovery of information on the open web. The session will provide an introduction to both Schema.org and the JSON-LD data format. Topics include an in-depth look at the Schema.org vocabulary, a brief overview of semantic markup with a focus on JSON-LD, and use-cases of these technologies. By the end of the session, you will have an opportunity to apply these technologies through a structured exercise. The session will conclude with resources and guidance for next steps.
Learning Outcomes
Participants will leave this webinar with tools for increasing the discoverability of information on the open web.
This program will include presentation slides, bibliographic references to resources referenced to in the slides, and hands-on exercise material. The exercise material will include instructions, template records for attendees to practice applying Schema.org and JSON-LD, and example records as reference material.
Who Should Attend
Librarians and other professionals interested in increasing discovery of their organization’s information and collections on the open web. General knowledge of metadata concepts and standards is encouraged. Familiarity with the concept of data formats (XML, JSON, MARC, etc.) would be helpful.
Jacob Shelby is the Metadata Technologies Librarian at North Carolina State University (NCSU) Libraries, where he performs metadata activities that support library information services and collections. He has collaborated on endeavors to enhance the discovery of library services and collections on the open web, including exposing NCSU Libraries digital special collections data as Schema.org data. In addition to these endeavors, Jacob has taught workshops at NCSU Libraries on Schema.org and semantic markup.
he General Services Administration (GSA) has ordered the removal of Kaspersky software platforms from its catalogues of approved vendors. Meanwhile, the Senate is considering a draft bill of the 2018 National Defense Acquisition Authorization (known as the NDAA, it specifies the size of and uses for the fiscal year 2018 US Defense Department budget) that would bar the use of Kaspersky products in the military.
W.H. cybersecurity coordinator warns against using Kaspersky Lab software
The whole ordeal is a nightmare for Kaspersky Lab. The company looks incompetent at preventing state-sponsored hacks in the best-case scenario and complicit with the Russian government in the worst-case scenario. However it plays out, the unfolding drama will certainly hurt the software maker’s footprint in the U.S., where Congress has already taken action to purge the government of the company’s software.
University libraries have held collections of books and printed material throughout their existence and continue to be perceived as repositories for physical collections. Other non-print specialized collections of interest have been held in various departments on campus such as Anthropology, Art, and Biology due to the unique needs of the collections and their usage. With the advent of electronic media, it becomes possible to store these non-print collections in a central place, such as the Libray.
The skills needed to curate artifacts from an archeological excavation, biological specimens from various life forms, and sculpture work are very different, making it difficult for smaller university libraries to properly hold, curate, and make available such collections. In addition, faculty in the various departments tend to want those collections near their coursework and research, so it can be readily available to students and researchers. With the expansion of online learning, the need for such availability becomes increasingly pronounced.
With the advent of 3 dimensional (3D) scanners, it has become possible for a smaller library to hold digital representations of these collections in an archive that can be curated from the various departments by experts in the discipline. The Library can then make the digital representations available to other researchers, students, and the public through kiosks in the Library or via the Internet. Current methods to scan and store an artifact in 3Dstill require expertise not often found in a Library.
We propose to use existing technology to build an easy-to-use system to scan smaller artifacts in 3D. The project will include purchase and installation of a workstation in the Library where the artifact collection can be accessed using a large touch-screen monitor, and a portable, easy-to-use 3D scanning station. Curators of collections from various departments on the St. Cloud State University campus can check out the scanning station, connect to power and Internet where the collection is located, and scan their collection into the libraries digital archives, making the collection easily available to students, other researchers and the public.
The project would include assembly of two workstations previously mentioned and potentially develop the robotic scanner. Software would be produced to automate the workflow from the scanner to archiving the digital representation and then make the collection available on the Internet.
This project would be a collaboration between the St. Cloud State University Library (https://www.stcloudstate.edu/library/ and Visualization Laboratory (https://www.facebook.com/SCSUVizLab/). The project would use the expertise and services of the St. Cloud State Visualization Laboratory. Dr. Plamen Miltenoff, a faculty with the Library will coordinate the Library initiatives related to the use of the 3D scanner. Mark Gill, Visualization Engineer, and Dr. Mark Petzold, Associate Professor of Electrical and Computer Engineering will lead a group of students in developing the software to automate the scanning, storage, and retrieval of the 3D models. The Visualization Lab has already had success in 3D scanning objects for other departments and in creating interactive displays allowing retrieval of various digital content, including 3D scanned objects such animal skulls and video. A collaboration between the Library, VizLab and the Center for Teaching and Learning (, https://www.stcloudstate.edu/teaching/) will enable campus faculty to overcome technical and financial obstacles. It will promote the VizLab across campus, while sharing its technical resources with the Library and making those resources widely available across campus. Such work across silos will expose the necessity (if any) of standardization and will help faculty embrace stronger collaborative practices as well as spur the process of reproduction of best practices across disciplines.
Budget:
Hardware
Cost
42” Touch Screen Monitor
$2200
Monitor Mount
$400
2 Computer Workstations
$5000
Installation
$500
Cart for Mobile 3D Scanner
$1000
3D Scanner (either purchase or develop in-house)
$2000
Total
$11100
The budget covers two computer workstations. One will be installed in the library as a way to access the digital catalog, and will include a 42 inch touch screen monitor mounted to a wall or stand. This installation will provide students a way to interact with the models in a more natural way. The second workstation would be mounted on a mobile cart and connected to the 3D scanner. This would allow collection curators from different parts of campus to check out the scanner and scan their collections. The ability to bring the scanner to the collection would increase the likelihood the collections to be scanned into the library collection.
The 3D scanner would either be purchased off-the shelf or designed by a student team from the Engineering Department. A solution will be sought to use and minimize the amount of training the operator would need. If the scanner is developed in-house, a simple optical scanner such as an XBox Kinect device and a turntable or robotic arm will be used. Support for the XBox Kinect is built into Microsoft Visual Studio, thus creating the interface efficient and costeffective.
Dr. Miltenoff is part of a workgroup within the academic library, which works with faculty, students and staff on the application of new technologies in education. Dr. Miltenoff’s most recent research with Mark Gill is on the impact of Video 360 on students during library orientation:http://web.stcloudstate.edu/pmiltenoff/bi/
Mark Petzold, Ph.D. mcpetzold@stcloudstate.edu
320-308-4182
Dr. Petzold is an Associate Professor in Electrical and Computer Engineering. His current projects involve visualization of meteorological data in a virtual reality environment and research into student retention issues. He is co-PI on a $5 million NSF S-STEM grant which gives scholarships to low income students and investigates issues around student transitions to college.
Mr. Gill is a Visualization Engineer for the College of Science and Engineering and runs the Visualization Laboratory. He has worked for several major universities as well as Stennis Space Center and Mechdyne, Inc. He holds a Masters of Science in Software Engineering.
+++++++++++++
University of Nevada, Reno and Pennsylvania State University 41 campus libraries to include collaborative spaces where faculty and students gather to transform virtual ideas into reality.
Maker Commons in the Modern Library 6 REASONS 3D PRINTERS SHOULD BE IN YOUR LIBRARY
1. Librarians Know How to Share 2. Librarians Work Well with IT People 3. Librarians Serve Everybody 4. Librarians Can Fill Learning Gaps 5. Librarians like Student Workers 6. Librarians are Cross-Discipline
Oculus Connect, starting Wednesday in San Jose, California. Facebook’s Oculus VR division promises discussions on how health care, movies and video games are adapting to this still nascent technology. One panel will explore how the disability community can benefit from VR gear and presentations.
Over the summer, Apple and Google announced new technologies called ARKit and ARCore, respectively, that are designed to help iPhones and iPads or any device powered by Google’s Android software marry computer-generated images with the real world.
A $2.99 app, Star Guide AR, highlights stars and constellations in the sky once you point your phone at them. Another, Ikea Place, previews furniture in your home with a tap. Walk around your living room and you can see the furniture you placed while looking through the screen on your phone. So far, both are available only for the iPhone.
App developers I spoke with say they’re excited by augmented reality and believe it may help spur people to buy VR systems as well.
