Digital Literacy for St. Cloud State University
Sheryl Gonzalez Ziegler, a psychologist in Denver, Colo., explains, “When teens are overwhelmed, parents may try to connect with their kids’ feelings by drawing on their own childhood experiences. They may say things like, “When I was fourteen, I had a job, and I still did my homework and made time for my friends. I know that you can do this, too.'”
They mean well when they try to connect with their teens in this comparative way, but often it prompts a communication breakdown.
Instead:
When I was your age, I had difficulty with my friends. I felt confused, and my heart was broken, too.”
She says that these disclosures remind kids that even if technology is different, human emotions are the same. Parents can bond with their kids by focusing on these similarities.
It’s particularly important to teach adolescents how to develop a specific type of empathy called cognitive empathy
If empathy helps us sympathize with how another person is feeling, cognitive empathy also allows us to try to understand someone else’s perspective and how they perceive the world, even when our feelings differ.
Because teenagers are so emotionally driven, they may be prone to react in exaggerated ways. Hence, a conflict with a teacher, a clash with a friend or an unanswered text can feel like the end of the world. By strengthening their cognitive empathy, teens can develop an emotional pause button, which reminds them that even when feelings take over, stressful circumstances are temporary.
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more on empathy in this IMS blog
https://blog.stcloudstate.edu/ims?s=empathy
Jan 16, 2018
https://www.wired.com/story/free-speech-issue-tech-turmoil-new-censorship/
My note: the author uses the 1960 military junta in Turkey as an example. Here it is the 2014 “modern” ideological fight of increasingly becoming dictatorial Turkish Prime Minister Recep Erdogan against his citizens by shutting off Twitter: http://time.com/33393/turkey-recep-tayyip-erdogan-twitter/
Here is more on civil disobedience and social media: https://blog.stcloudstate.edu/ims?s=civil+disobedience
until recently, broadcasting and publishing were difficult and expensive affairs, their infrastructures riddled with bottlenecks and concentrated in a few hands.
When protests broke out in Ferguson, Missouri, in August 2014, a single livestreamer named Mustafa Hussein reportedly garnered an audience comparable in size to CNN’s for a short while. If a Bosnian Croat war criminal drinks poison in a courtroom, all of Twitter knows about it in minutes.
In today’s networked environment, when anyone can broadcast live or post their thoughts to a social network, it would seem that censorship ought to be impossible. This should be the golden age of free speech.
And sure, it is a golden age of free speech—if you can believe your lying eyes. Is that footage you’re watching real? Was it really filmed where and when it says it was? Is it being shared by alt-right trolls or a swarm of Russian bots?
My note: see the ability to create fake audio and video footage:
https://blog.stcloudstate.edu/ims/2017/07/15/fake-news-and-video/
HERE’S HOW THIS golden age of speech actually works: In the 21st century, the capacity to spread ideas and reach an audience is no longer limited by access to expensive, centralized broadcasting infrastructure. It’s limited instead by one’s ability to garner and distribute attention. And right now, the flow of the world’s attention is structured, to a vast and overwhelming degree, by just a few digital platforms: Facebook, Google (which owns YouTube), and, to a lesser extent, Twitter.
at their core, their business is mundane: They’re ad brokers
They use massive surveillance of our behavior, online and off, to generate increasingly accurate, automated predictions of what advertisements we are most susceptible to and what content will keep us clicking, tapping, and scrolling down a bottomless feed.
in reality, posts are targeted and delivered privately, screen by screen by screen. Today’s phantom public sphere has been fragmented and submerged into billions of individual capillaries. Yes, mass discourse has become far easier for everyone to participate in—but it has simultaneously become a set of private conversations happening behind your back. Behind everyone’s backs.
It’s important to realize that, in using these dark posts, the Trump campaign wasn’t deviantly weaponizing an innocent tool. It was simply using Facebook exactly as it was designed to be used. The campaign did it cheaply, with Facebook staffers assisting right there in the office, as the tech company does for most large advertisers and political campaigns.
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more on privacy in this IMS blog
https://blog.stcloudstate.edu/ims?s=privacy
more on free speech in this IMS blog
https://blog.stcloudstate.edu/ims?s=free+speech
Published: Briefs, Case Studies, Papers, Reports
https://library.educause.edu/resources/2017/11/7-things-you-should-know-about-digital-humanities
definition
The term “digital humanities” can refer to research and instruction that is about information technology or that uses IT. By applying technologies in new ways, the tools and methodologies of digital humanities open new avenues of inquiry and scholarly production. Digital humanities applies computational capabilities to humanistic questions, offering new pathways for scholars to conduct research and to create and publish scholarship. Digital humanities provides promising new channels for learners and will continue to influence the ways in which we think about and evolve technology toward better and more humanistic ends.
As defined by Johanna Drucker and colleagues at UCLA, the digital humanities is “work at the intersection of digital technology and humanities disciplines.” An EDUCAUSE/CNI working group framed the digital humanities as “the application and/or development of digital tools and resources to enable researchers to address questions and perform new types of analyses in the humanities disciplines,” and the NEH Office of Digital Humanities says digital humanities “explore how to harness new technology for thumanities research as well as those that study digital culture from a humanistic perspective.” Beyond blending the digital with the humanities, there is an intentionality about combining the two that defines it.
digital humanities can include
Scholars might reflect on
Digital humanities can enrich pedagogy as well, such as when a student uses visualized data to study voter patterns or conducts data-driven analyses of works of literature.
Digital humanities usually involves work by teams in collaborative spaces or centers. Team members might include
projects:
downsides
Opportunities for undergraduate involvement in research, provid ing students with workplace skills such as data management, visualization, coding, and modeling. Digital humanities provides new insights into policy-making in areas such as social media, demo- graphics, and new means of engaging with popular culture and understanding past cultures. Evolution in this area will continue to build connections between the humanities and other disci- plines, cross-pollinating research and education in areas like med- icine and environmental studies. Insights about digital humanities itself will drive innovation in pedagogy and expand our conceptualization of classrooms and labs
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more on digital humanities in this IMS blog
https://blog.stcloudstate.edu/ims?s=digital+humanities
BY MERIS STANSBURY November 6th, 2017 https://www.ecampusnews.com/campus-administration/educause-top-10-issues-2018/
Security once again tops the list of EDUCAUSE’s Top 10 IT Issues in higher education. A focus on student success and programming becomes prominent.
The Top 10 IT issues for 2018
1. Information security: Developing a risk-based security strategy that keeps pace with security threats and challenges.
2. Student success: Managing the system implementations and integrations that support multiple student success initiatives.
3. Institution-wide IT strategy: Repositioning or reinforcing the role of IT leadership as an integral strategic partner of institutional leadership in achieving institutions missions.
4. Data-enabled institutional culture: Using BI and analytics to inform the broad conversation and answer big questions.
5. Student-centered institution: Understanding and advancing technology’s role in defining the student experience on campus (from applicants to alumni).
6. Higher education affordability: Balancing and rightsizing IT priorities and budget to support IT-enabled institutional efficiencies and innovations in the context if institutional funding realities.
7. IT staffing and organizational models: Ensuring adequate staffing capacity and staff retention in the face of retirements, new sourcing models, growing external competition, rising salaries, and the demands of technology initiatives on both IT and non-IT staff.
8. (tie) Data management and governance: Implementing effective institutional data governance practices.
9. (tie) Digital integrations: Ensuring system interoperability, scalability, and extensibility, as well as data integrity, standards, and governance, across multiple applications and platforms.
10. Change leadership: Helping institutional constituents (including the IT staff) adapt to the increasing pace of technology change.
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more on EdUCause in this IMS blog
https://blog.stcloudstate.edu/ims?s=educause
Please have an FAQ-kind of list of the Google Group postings regarding resources and information on research and writing of Chapter 2
digital resource sets available through MnPALS Plus
https://blog.stcloudstate.edu/ims/2017/10/21/digital-resource-sets-available-through-mnpals-plus/
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[how to] write chapter 2
You were reminded to look at dissertations of your peers from previous cohorts and use their dissertations as a “template”: http://repository.stcloudstate.edu/do/discipline_browser/articles?discipline_key=1230
You also were reminded to use the documents in Google Drive: e.g. https://drive.google.com/open?id=0B7IvS0UYhpxFVTNyRUFtNl93blE
Please have also materials, which might help you organize our thoughts and expedite your Chapter 2 writing….
Do you agree with (did you use) the following observations:
The purpose of the review of the literature is to prove that no one has studied the gap in the knowledge outlined in Chapter 1. The subjects in the Review of Literature should have been introduced in the Background of the Problem in Chapter 1. Chapter 2 is not a textbook of subject matter loosely related to the subject of the study. Every research study that is mentioned should in some way bear upon the gap in the knowledge, and each study that is mentioned should end with the comment that the study did not collect data about the specific gap in the knowledge of the study as outlined in Chapter 1.
The review should be laid out in major sections introduced by organizational generalizations. An organizational generalization can be a subheading so long as the last sentence of the previous section introduces the reader to what the next section will contain. The purpose of this chapter is to cite major conclusions, findings, and methodological issues related to the gap in the knowledge from Chapter 1. It is written for knowledgeable peers from easily retrievable sources of the most recent issue possible.
Empirical literature published within the previous 5 years or less is reviewed to prove no mention of the specific gap in the knowledge that is the subject of the dissertation is in the body of knowledge. Common sense should prevail. Often, to provide a history of the research, it is necessary to cite studies older than 5 years. The object is to acquaint the reader with existing studies relative to the gap in the knowledge and describe who has done the work, when and where the research was completed, and what approaches were used for the methodology, instrumentation, statistical analyses, or all of these subjects.
If very little literature exists, the wise student will write, in effect, a several-paragraph book report by citing the purpose of the study, the methodology, the findings, and the conclusions. If there is an abundance of studies, cite only the most recent studies. Firmly establish the need for the study. Defend the methods and procedures by pointing out other relevant studies that implemented similar methodologies. It should be frequently pointed out to the reader why a particular study did not match the exact purpose of the dissertation.
The Review of Literature ends with a Conclusion that clearly states that, based on the review of the literature, the gap in the knowledge that is the subject of the study has not been studied. Remember that a “summary” is different from a “conclusion.” A Summary, the final main section, introduces the next chapter.
from http://dissertationwriting.com/wp/writing-literature-review/
Here is the template from a different school (then SCSU)
http://semo.edu/education/images/EduLead_DissertGuide_2007.pdf
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When conducting qualitative data, how many people should be interviewed? Is there a minimum or a max
Here is my take on it:
Simple question, not so simple answer.
It depends.
Generally, the number of respondents depends on the type of qualitative inquiry: case study methodology, phenomenological study, ethnographic study, or ethnomethodology. However, a rule of thumb is for scholars to achieve saturation point–that is the point in which no fresh information is uncovered in response to an issue that is of interest to the researcher.
If your qualitative method is designed to meet rigor and trustworthiness, thick, rich data is important. To achieve these principles you would need at least 12 interviews, ensuring your participants are the holders of knowledge in the area you intend to investigate. In grounded theory you could start with 12 and interview more if your data is not rich enough.
In IPA the norm tends to be 6 interviews.
You may check the sample size in peer reviewed qualitative publications in your field to find out about popular practice. In all depends on the research problem, choice of specific qualitative approach and theoretical framework, so the answer to your question will vary from few to few dozens.
How many interviews are needed in a qualitative research?
There are different views in literature and no one agreed to the exact number. Here I reviewed some mostly cited references. Based Creswell (2014), it is estimated that 16 participants will provide rich and detailed data. There are a couple of researchers agreed on 10–15 in-depth interviews are sufficient (Guest, Bunce & Johnson 2006; Baker & Edwards 2012).
your methodological choices need to reflect your ontological position and understanding of knowledge production, and that’s also where you can argue a strong case for smaller qualitative studies, as you say. This is not only a problem for certain subjects, I think it’s a problem in certain departments or journals across the board of social science research, as it’s a question of academic culture.
here more serious literature and research (in case you need to cite in Chapter 3)
Sample Size and Saturation in PhD Studies Using Qualitative Interviews
http://www.qualitative-research.net/index.php/fqs/article/view/1428/3027
https://researcholic.wordpress.com/2015/03/20/sample_size_interviews/
Gaskell, George (2000). Individual and Group Interviewing. In Martin W. Bauer & George Gaskell (Eds.), Qualitative Researching With Text, Image and Sound. A Practical Handbook (pp. 38-56). London: SAGE Publications.
Lieberson, Stanley 1991: “Small N’s and Big Conclusions.” Social Forces 70:307-20. (http://www.jstor.org/pss/2580241)
Savolainen, Jukka 1994: “The Rationality of Drawing Big Conclusions Based on Small Samples.” Social Forces 72:1217-24. (http://www.jstor.org/pss/2580299).
Small, M.(2009) ‘How many cases do I need ? On science and the logic of case selection in field-based research’ Ethnography 10(1) 5-38
Williams,M. (2000) ‘Interpretivism and generalisation ‘ Sociology 34(2) 209-224
http://james-ramsden.com/semi-structured-interviews-how-many-interviews-is-enough/
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how to start your writing process
If you are a Pinterest user, you are welcome to just sbuscribe to the board:
https://www.pinterest.com/aidedza/doctoral-cohort/
otherwise, I am mirroring the information also in the IMS blog:
https://blog.stcloudstate.edu/ims/2017/08/13/analytical-essay/
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APA citing of “unusual” resources
https://blog.stcloudstate.edu/ims/2017/08/06/apa-citation/
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statistical modeling: your guide to Chapter 3
working on your dissertation, namely Chapter 3, you probably are consulting with the materials in this shared folder:
https://drive.google.com/drive/folders/0B7IvS0UYhpxFVTNyRUFtNl93blE?usp=sharing
In it, there is a subfolder, called “stats related materials”
https://drive.google.com/open?id=0B7IvS0UYhpxFcVg3aWxCX0RVams
where you have several documents from the Graduate school and myself to start building your understanding and vocabulary regarding your quantitative, qualitative or mixed method research.
It has been agreed that before you go to the Statistical Center (Randy Kolb), it is wise to be prepared and understand the terminology as well as the basics of the research methods.
Please have an additional list of materials available through the SCSU library and the Internet. They can help you further with building a robust foundation to lead your research:
https://blog.stcloudstate.edu/ims/2017/07/10/intro-to-stat-modeling/
In this blog entry, I shared with you:
I (and the future cohorts) will deeply appreciate if you remember to share those “suitable sources for your learning style” either by sharing in this Google Group thread and/or sharing in the comments section of the blog entry: https://blog.stcloudstate.edu/ims/2017/07/10/intro-to-stat-modeling. Your Facebook group page is also a good place to discuss among ourselves best practices to learn and use research methods for your chapter 3.
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search for sources
Google just posted on their Facebook profile a nifty short video on Google Search
https://blog.stcloudstate.edu/ims/2017/06/26/google-search/
Watching the video, you may remember the same #BooleanSearch techniques from our BI (bibliography instruction) session of last semester.
Considering the fact of preponderance of information in 2017: your Chapter 2 is NOT ONLY about finding information regrading your topic.
Your Chapter 2 is about proving your extensive research of the existing literature.
The techniques presented in the short video will arm you with methods to dig deeper and look further.
If you would like to do a decent job exploring all corners of the vast area called Internet, please consider other search engines similar to Google Scholar:
Microsoft Semantic Scholar (Semantic Scholar); Microsoft Academic Search; Academicindex.net; Proquest Dialog; Quetzal; arXiv;
https://www.google.com/; https://scholar.google.com/ (3 min); http://academic.research.microsoft.com/; http://www.dialog.com/; http://www.quetzal-search.info; http://www.arXiv.org; http://www.journalogy.com/
More about such search engines in the following blog entries:
https://blog.stcloudstate.edu/ims/2017/01/19/digital-literacy-for-glst-495/
and
https://blog.stcloudstate.edu/ims/2017/05/01/history-becker/
Let me know, if more info needed and/or you need help embarking on the “deep” search
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tips for writing and proofreading
please have several infographics to help you with your writing habits (organization) and proofreading, posted in the IMS blog:
https://blog.stcloudstate.edu/ims/2017/06/11/writing-first-draft/
https://blog.stcloudstate.edu/ims/2017/06/11/prewriting-strategies/
https://blog.stcloudstate.edu/ims/2017/06/11/essay-checklist/
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letter – request copyright permission
Here are several samples on mastering such letter:
https://brocku.ca/webfm_send/25032
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Chun, L. (2017). Discipline and power: knowledge of China in political science. Critical Asian Studies, 49(4), 501-522. doi:10.1080/14672715.2017.1362321
Lin Chun or ResearchGate: https://www.researchgate.net/profile/Chun_Lin18
p. 501 – is political science “softer” than the other soft social sciences?
thus… political science “may never live up to its lofty ambition of scientific explanation and prediction. Indeed, like other social sciences, it can be no more than a ‘ science in formation’ permanently seeking to surmount obstacles to objectivity.”
p. 502 disciplinary parochialism
the fetishes of pure observation, raw experience, unambiguous rationality, and one-way causality were formative influences in the genesis of the social sciences. the ‘unfortunate positivism” of such impulses, along with the illusion of a value-free science, converged to produce a behavioral revolution in the interwar period Behaviorism was then followed through an epistemological twist, by boldly optimistic leaps to an “end of ideology” and ultimately to a claimed “end of history” itself.
p. 503
early positivism was openly underpinned by an European condescension toward Asians’ “ignorance and prejudice.” Behind similar depictions lay a comprehensive Eurocentric social and political philosophy.
this is illustrated its view of China through the grand narrative of modernization.
p. 504
Robert McNamara famously reiterated that if World War I was a chemist’s war and Word War II a physicist’s, Vietnam “might well have to be considered the social scientists’ war.”
Although China nominally remains a communist state, it has doubtlessly changed color without a color revolution.
p. 505
In the fixed disciplinary eye, “China” is to specific to produce anything generalizable beyond descriptive and self-containing narratives. The area studies approach, in contrast to disciplinary approaches, is all about cultural, historical, and ethnographic specificities.
If first-hand information contradicts theoretical conclusions, redress is sought only at the former end (my note – ha ha ha, such an elegant but scathing criticism of [Western] academia).
The catch [is] that Chinese otherness is in essence not a matter of cultural difference (hence limitations of criticizing Eurocentrism and Orientalism) and does not merely reproduce itself by inertia.
Given a long omitted self-critical rethinking of the discipline’s parochial base, calling for cross-fertilizing alone would be fruitless or even lead only to a one-way colonization of seemingly particularistic histories by an illusive universal science.
p. 506
political culture, once a key concept of political science’s hope for unified theorization, has turned out to be no answer
Long after its heyday, modernization theory – now with its new face of globalization – remains a primary signifier and legitimating benchmark. To those, who use it to gauge developments since 1945, private property and liberal democracy are permanent, unquestioned norms that are to be globally homogenized.
Moreover, since modernity is assumed to be a liberal capitalists condition, the revolutionary nationalism of an oppressed people remaking itself into a new historical subject noncompliant with capitalism cannot be modernizational.
p. 507
Political scientists and historical sociologists… saw the communist in power as formidable modernizers, but distinguished the Maoist model from the Stalinist in economic management and campaign politics.
Their analyses showed how organic connections between top-down mobilization and bottom-up participation cultivated in an active citizenry and high intensity politics. My note: I disagree here with the author, since such statement can be arbitrary from a historical point of view; indeed, for a short period of time, such “organic connection” can produce positive results, but once calcitrated (as it is in China for the past 6-7 decades), it turns stagnant.
p. 510
the state’s altered support base is essentially a matter of class power, involving both adaptive cultivation of new economic elites and iron-fist approaches to protest and dissent. By the same weight of historical logic, the party’s internal decay, loss of its founding ideological vision and commitment, and collusion with capital will do more than any outside force ever could do to destroy the regime.
That the Party stays in power is not primarily because the country’s economy continues to grow, but is more attributable to a residual social reliance on its credentials and organizational capacities accumulated in earlier revolutionary and socialist struggles. This historical promise has so far worked to the extent that cracks within the leadership are more or less held in check, resentment against local wrongs are insulated from central intentions, and social policies in one way or another respond to common outcries, consultative deliberations, and pressure groups.
p. 511
The word “madness” has indeed been freely employed to describe nations and societies judged inept at modern reason, as found in contemporary academic publications on epi- sodes of the PRC history.
My note: I agree with this – the deconstructionalists: (Jaques Derrida, Tzvetan Todorov) linguistically prove the inability of Western cultures to understand and explain other cultures. In this case, Lin Chun is right; just because western political scientist cannot comprehend foreign complex societal problems and/or juxtaposing them to their own “schemes,” prompts the same western researchers to announce them as “mad.”
p. 513aa
This is the best and worst of times for the globalization of knowledge. In one scenario, an eventual completion of the political science parameters can now seal both knowledge, sophisticatedly canalized, and ideology, universally uncontested – even if the two are never separable in the foundation of political science. In another scenario, causes and effects no longer rule out atypical polities, but the differences are presented as culturally incompatible. In either case, the trick remains to let anormalies make the norms validate preexist- ing disciplinary sanctions.
p. 514
Overcoming outmoded rigidities will nurture a robust scholarship committed to universally resonant theories.
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more on China in this IMS blog
https://blog.stcloudstate.edu/ims?s=china
Project Hikari: Tales of the Wedding Rings lets you walk into a manga and become part of the story.
Japanese company Square Enix is looking to broaden the VR storytelling conversation by bringing 3 genres together into one incredible VR experience with Project Hikari: Tales of the Wedding Rings,
“We wanted to do something differently with this technology—we wanted to take VR into a different kind of direction,” Sou told VRScout in an interview. “We asked ourselves: how do we make content that is really unique, and something only our company can do?”
The team realized that manga could provide a creative new avenue of immersive story. Their approach was to create a style that blends animation and comic—giving you the ability to move in and out of panels. Sometimes you can see a range of still panels, others you’re engulfed in the animation of one scene.
I worried that the linear narrative of the manga might interfere with the immersion of VR, or that voiceover narration would keep me from discovering aspects of the story myself.
That worry was completely eliminated almost immediately the moment I put the headset on and the experience began. The Square Enix team was very creative with how they used narration along with the animation within the panels to bring the experience to life. I loved this VR take on the manga, and found Tales of the Wedding Rings to be an incredible experience that honored both mediums.
It’s a cross-section of a lot of different mediums because you have VR, manga (comics), and animation
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more on digital storytelling in this IMS blog
https://blog.stcloudstate.edu/ims?s=digital+storytelling
2018 Preconference Voting
10. The Virtualized Library: A Librarian’s Introduction to Docker and Virtual Machines
This session will introduce two major types of virtualization, virtual machines using tools like VirtualBox and Vagrant, and containers using Docker. The relative strengths and drawbacks of the two approaches will be discussed along with plenty of hands-on time. Though geared towards integrating these tools into a development workflow, the workshop should be useful for anyone interested in creating stable and reproducible computing environments, and examples will focus on library-specific tools like Archivematica and EZPaarse. With virtualization taking a lot of the pain out of installing and distributing software, alleviating many cross-platform issues, and becoming increasingly common in library and industry practices, now is a great time to get your feet wet.
(One three-hour session)
11. Digital Empathy: Creating Safe Spaces Online
User research is often focused on measures of the usability of online spaces. We look at search traffic, run card sorting and usability testing activities, and track how users navigate our spaces. Those results inform design decisions through the lens of information architecture. This is important, but doesn’t encompass everything a user needs in a space.
This workshop will focus on the other component of user experience design and user research: how to create spaces where users feel safe. Users bring their anxieties and stressors with them to our online spaces, but informed design choices can help to ameliorate that stress. This will ultimately lead to a more positive interaction between your institution and your users.
The presenters will discuss the theory behind empathetic design, delve deeply into using ethnographic research methods – including an opportunity for attendees to practice those ethnographic skills with student participants – and finish with the practical application of these results to ongoing and future projects.
(One three-hour session)
14. ARIA Basics: Making Your Web Content Sing Accessibility
https://dequeuniversity.com/assets/html/jquery-summit/html5/slides/landmarks.html
Are you a web developer or create web content? Do you add dynamic elements to your pages? If so, you should be concerned with making those dynamic elements accessible and usable to as many as possible. One of the most powerful tools currently available for making web pages accessible is ARIA, the Accessible Rich Internet Applications specification. This workshop will teach you the basics for leveraging the full power of ARIA to make great accessible web pages. Through several hands-on exercises, participants will come to understand the purpose and power of ARIA and how to apply it for a variety of different dynamic web elements. Topics will include semantic HTML, ARIA landmarks and roles, expanding/collapsing content, and modal dialog. Participants will also be taught some basic use of the screen reader NVDA for use in accessibility testing. Finally, the lessons will also emphasize learning how to keep on learning as HTML, JavaScript, and ARIA continue to evolve and expand.
Participants will need a basic background in HTML, CSS, and some JavaScript.
(One three-hour session)
18. Learning and Teaching Tech
Tech workshops pose two unique problems: finding skilled instructors for that content, and instructing that content well. Library hosted workshops are often a primary educational resource for solo learners, and many librarians utilize these workshops as a primary outreach platform. Tackling these two issues together often makes the most sense for our limited resources. Whether a programming language or software tool, learning tech to teach tech can be one of the best motivations for learning that tech skill or tool, but equally important is to learn how to teach and present tech well.
This hands-on workshop will guide participants through developing their own learning plan, reviewing essential pedagogy for teaching tech, and crafting a workshop of their choice. Each participant will leave with an actionable learning schedule, a prioritized list of resources to investigate, and an outline of a workshop they would like to teach.
(Two three-hour sessions)
23. Introduction to Omeka S
Omeka S represents a complete rewrite of Omeka Classic (aka the Omeka 2.x series), adhering to our fundamental principles of encouraging use of metadata standards, easy web publishing, and sharing cultural history. New objectives in Omeka S include multisite functionality and increased interaction with other systems. This workshop will compare and contrast Omeka S with Omeka Classic to highlight our emphasis on 1) modern metadata standards, 2) interoperability with other systems including Linked Open Data, 3) use of modern web standards, and 4) web publishing to meet the goals medium- to large-sized institutions.
In this workshop we will walk through Omeka S Item creation, with emphasis on LoD principles. We will also look at the features of Omeka S that ease metadata input and facilitate project-defined usage and workflows. In accordance with our commitment to interoperability, we will describe how the API for Omeka S can be deployed for data exchange and sharing between many systems. We will also describe how Omeka S promotes multiple site creation from one installation, in the interest of easy publishing with many objects in many contexts, and simplifying the work of IT departments.
(One three-hour session)
24. Getting started with static website generators
Have you been curious about static website generators? Have you been wondering who Jekyll and Hugo are? Then this workshop is for you
My note: https://opensource.com/article/17/5/hugo-vs-jekyll
But this article isn’t about setting up a domain name and hosting for your website. It’s for the step after that, the actual making of that site. The typical choice for a lot of people would be to use something like WordPress. It’s a one-click install on most hosting providers, and there’s a gigantic market of plugins and themes available to choose from, depending on the type of site you’re trying to build. But not only is WordPress a bit overkill for most websites, it also gives you a dynamically generated site with a lot of moving parts. If you don’t keep all of those pieces up to date, they can pose a significant security risk and your site could get hijacked.
The alternative would be to have a static website, with nothing dynamically generated on the server side. Just good old HTML and CSS (and perhaps a bit of Javascript for flair). The downside to that option has been that you’ve been relegated to coding the whole thing by hand yourself. It’s doable, but you just want a place to share your work. You shouldn’t have to know all the idiosyncrasies of low-level web design (and the monumental headache of cross-browser compatibility) to do that.
Static website generators are tools used to build a website made up only of HTML, CSS, and JavaScript. Static websites, unlike dynamic sites built with tools like Drupal or WordPress, do not use databases or server-side scripting languages. Static websites have a number of benefits over dynamic sites, including reduced security vulnerabilities, simpler long-term maintenance, and easier preservation.
In this hands-on workshop, we’ll start by exploring static website generators, their components, some of the different options available, and their benefits and disadvantages. Then, we’ll work on making our own sites, and for those that would like to, get them online with GitHub pages. Familiarity with HTML, git, and command line basics will be helpful but are not required.
(One three-hour session)
26. Using Digital Media for Research and Instruction
To use digital media effectively in both research and instruction, you need to go beyond just the playback of media files. You need to be able to stream the media, divide that stream into different segments, provide descriptive analysis of each segment, order, re-order and compare different segments from the same or different streams and create web sites that can show the result of your analysis. In this workshop, we will use Omeka and several plugins for working with digital media, to show the potential of video streaming, segmentation and descriptive analysis for research and instruction.
(One three-hour session)
28. Spark in the Dark 101 https://zeppelin.apache.org/
This is an introductory session on Apache Spark, a framework for large-scale data processing (https://spark.apache.org/). We will introduce high level concepts around Spark, including how Spark execution works and it’s relationship to the other technologies for working with Big Data. Following this introduction to the theory and background, we will walk workshop participants through hands-on usage of spark-shell, Zeppelin notebooks, and Spark SQL for processing library data. The workshop will wrap up with use cases and demos for leveraging Spark within cultural heritage institutions and information organizations, connecting the building blocks learned to current projects in the real world.
(One three-hour session)
29. Introduction to Spotlight https://github.com/projectblacklight/spotlight
http://www.spotlighttechnology.com/4-OpenSource.htm
Spotlight is an open source application that extends the digital library ecosystem by providing a means for institutions to reuse digital content in easy-to-produce, attractive, and scholarly-oriented websites. Librarians, curators, and other content experts can build Spotlight exhibits to showcase digital collections using a self-service workflow for selection, arrangement, curation, and presentation.
This workshop will introduce the main features of Spotlight and present examples of Spotlight-built exhibits from the community of adopters. We’ll also describe the technical requirements for adopting Spotlight and highlight the potential to customize and extend Spotlight’s capabilities for their own needs while contributing to its growth as an open source project.
(One three-hour session)
31. Getting Started Visualizing your IoT Data in Tableau https://www.tableau.com/
The Internet of Things is a rising trend in library research. IoT sensors can be used for space assessment, service design, and environmental monitoring. IoT tools create lots of data that can be overwhelming and hard to interpret. Tableau Public (https://public.tableau.com/en-us/s/) is a data visualization tool that allows you to explore this information quickly and intuitively to find new insights.
This full-day workshop will teach you the basics of building your own own IoT sensor using a Raspberry Pi (https://www.raspberrypi.org/) in order to gather, manipulate, and visualize your data.
All are welcome, but some familiarity with Python is recommended.
(Two three-hour sessions)
32. Enabling Social Media Research and Archiving
Social media data represents a tremendous opportunity for memory institutions of all kinds, be they large academic research libraries, or small community archives. Researchers from a broad swath of disciplines have a great deal of interest in working with social media content, but they often lack access to datasets or the technical skills needed to create them. Further, it is clear that social media is already a crucial part of the historical record in areas ranging from events your local community to national elections. But attempts to build archives of social media data are largely nascent. This workshop will be both an introduction to collecting data from the APIs of social media platforms, as well as a discussion of the roles of libraries and archives in that collecting.
Assuming no prior experience, the workshop will begin with an explanation of how APIs operate. We will then focus specifically on the Twitter API, as Twitter is of significant interest to researchers and hosts an important segment of discourse. Through a combination of hands-on and demos, we will gain experience with a number of tools that support collecting social media data (e.g., Twarc, Social Feed Manager, DocNow, Twurl, and TAGS), as well as tools that enable sharing social media datasets (e.g., Hydrator, TweetSets, and the Tweet ID Catalog).
The workshop will then turn to a discussion of how to build a successful program enabling social media collecting at your institution. This might cover a variety of topics including outreach to campus researchers, collection development strategies, the relationship between social media archiving and web archiving, and how to get involved with the social media archiving community. This discussion will be framed by a focus on ethical considerations of social media data, including privacy and responsible data sharing.
Time permitting, we will provide a sampling of some approaches to social media data analysis, including Twarc Utils and Jupyter Notebooks.
(One three-hour session)
Bibliographic Indexing Leader
Register for the September 28th webinar
https://www.brighttalk.com/webcast/13703/275301
metadata: counts of papers by yer, researcher, institution, province, region and country. scientific fields subfields
metadata in one-credit course as a topic:
publisher – suppliers =- Elsevier processes – Scopus Data
h-index: The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist’s most cited papers and the number of citations that they have received in other publications.
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https://www.brighttalk.com/webcast/9995/275813
Librarians and APIs 101: overview and use cases
Christina Harlow, Library Data Specialist;Jonathan Hartmann, Georgetown Univ Medical Center; Robert Phillips, Univ of Florida
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Christian Lauersen, University of Copenhagen; Sarah Wright, Cornell University; Anita de Waard, Elsevier
https://www.brighttalk.com/webcast/9995/226043
Data Literacy: access, assess, manipulate, summarize and present data
Statistical Literacy: think critically about basic stats in everyday media
Information Literacy: think critically about concepts; read, interpret, evaluate information
data information literacy: the ability to use, understand and manage data. the skills needed through the whole data life cycle.
Shield, Milo. “Information literacy, statistical literacy and data literacy.” I ASSIST Quarterly 28. 2/3 (2004): 6-11.
Carlson, J., Fosmire, M., Miller, C. C., & Nelson, M. S. (2011). Determining data information literacy needs: A study of students and research faculty. Portal: Libraries & the Academy, 11(2), 629-657.
embedded librarianship,
Courses developed: NTRESS 6600 research data management seminar. six sessions, one-credit mini course
http://guides.library.cornell.edu/ntres6600
BIOG 3020: Seminar in Research skills for biologists; one-credit semester long for undergrads. data management organization http://guides.library.cornell.edu/BIOG3020
lessons learned:
http://www.thepress.purdue.edu/titles/format/9781612493527
ideas behind data information literacy, such as the twelve data competencies.
http://blogs.lib.purdue.edu/dil/the-twelve-dil-competencies/
http://blogs.lib.purdue.edu/dil/what-is-data-information-literacy/
Johnston, L., & Carlson, J. (2015). Data Information Literacy : Librarians, Data and the Education of a New Generation of Researchers. Ashland: Purdue University Press. http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dnlebk%26AN%3d987172%26site%3dehost-live%26scope%3dsite
NEW ROLESFOR LIbRARIANS: DATAMANAgEMENTAND CURATION
the capacity to manage and curate research data has not kept pace with the ability to produce them (Hey & Hey, 2006). In recognition of this gap, the NSF and other funding agencies are now mandating that every grant proposal must include a DMP (NSF, 2010). These mandates highlight the benefits of producing well-described data that can be shared, understood, and reused by oth-ers, but they generally offer little in the way of guidance or instruction on how to address the inherent issues and challenges researchers face in complying. Even with increasing expecta-tions from funding agencies and research com-munities, such as the announcement by the White House for all federal funding agencies to better share research data (Holdren, 2013), the lack of data curation services tailored for the “small sciences,” the single investigators or small labs that typically comprise science prac-tice at universities, has been identified as a bar-rier in making research data more widely avail-able (Cragin, Palmer, Carlson, & Witt, 2010).Academic libraries, which support the re-search and teaching activities of their home institutions, are recognizing the need to de-velop services and resources in support of the evolving demands of the information age. The curation of research data is an area that librar-ians are well suited to address, and a num-ber of academic libraries are taking action to build capacity in this area (Soehner, Steeves, & Ward, 2010)
REIMAgININg AN ExISTINg ROLEOF LIbRARIANS: TEAChINg INFORMATION LITERACY SkILLS
By combining the use-based standards of information literacy with skill development across the whole data life cycle, we sought to support the practices of science by develop-ing a DIL curriculum and providing training for higher education students and research-ers. We increased ca-pacity and enabled comparative work by involving several insti-tutions in developing instruction in DIL. Finally, we grounded the instruction in the real-world needs as articu-lated by active researchers and their students from a variety of fields
Chapter 1 The development of the 12 DIL competencies is explained, and a brief compari-son is performed between DIL and information literacy, as defined by the 2000 ACRL standards.
chapter 2 thinking and approaches toward engaging researchers and students with the 12 competencies, a re-view of the literature on a variety of educational approaches to teaching data management and curation to students, and an articulation of our key assumptions in forming the DIL project.
Chapter 3 Journal of Digital Curation. http://www.ijdc.net/
http://www.dcc.ac.uk/digital-curation
https://blog.stcloudstate.edu/ims/2017/10/19/digital-curation-2/
https://blog.stcloudstate.edu/ims/2016/12/06/digital-curation/
chapter 4 because these lon-gitudinal data cannot be reproduced, acquiring the skills necessary to work with databases and to handle data entry was described as essential. Interventions took place in a classroom set-ting through a spring 2013 semester one-credit course entitled Managing Data to Facilitate Your Research taught by this DIL team.
chapter 5 embedded librar-ian approach of working with the teaching as-sistants (TAs) to develop tools and resources to teach undergraduate students data management skills as a part of their EPICS experience.
Lack of organization and documentation presents a bar-rier to (a) successfully transferring code to new students who will continue its development, (b) delivering code and other project outputs to the community client, and (c) the center ad-ministration’s ability to understand and evalu-ate the impact on student learning.
skill sessions to deliver instruction to team lead-ers, crafted a rubric for measuring the quality of documenting code and other data, served as critics in student design reviews, and attended student lab sessions to observe and consult on student work
chapter 6 Although the faculty researcher had created formal policies on data management practices for his lab, this case study demonstrated that students’ adherence to these guidelines was limited at best. Similar patterns arose in discus-sions concerning the quality of metadata. This case study addressed a situation in which stu-dents are at least somewhat aware of the need to manage their data;
chapter 7 University of Minnesota team to design and implement a hybrid course to teach DIL com-petencies to graduate students in civil engi-neering.
stu-dents’ abilities to understand and track issues affecting the quality of the data, the transfer of data from their custody to the custody of the lab upon graduation, and the steps neces-sary to maintain the value and utility of the data over time.
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more on Scopus in this IMS blog
https://blog.stcloudstate.edu/ims?s=scopus