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jatolbert

The "Digital" Scholarship Disconnect | EDUCAUSE - 0 views

  • Digital scholarship is an incredibly awkward term that people have come up with to describe a complex group of developments. The phrase is really, at some basic level, nonsensical. After all, scholarship is scholarship. Doing science is doing science. We don't find the Department of Digital Physics arguing with the Department of Non–Digital Physics about who's doing "real" physics.
  • Soon, people wanted to start talking more broadly about newly technology-enabled scholarly work, not just in science; in part this was because of some very dramatic and high-visibility developments in using digital technology in various humanistic investigations. To do so, they came up with the neologisms we enjoy today—awful phrases like e-scholarship and digital scholarship.Having said that, I do view the term digital scholarship basically as shorthand for the entire body of changing scholarly practice, a reminder and recognition of the fact that most areas of scholarly work today have been transformed, to a lesser or greater extent, by a series of information technologies: High-performance computing, which allows us to build simulation models and to conduct very-large-scale data analysis Visualization technologies, including interactive visualizations Technologies for creating, curating, and sharing large databases and large collections of data High-performance networking, which allows us to share resources across the network and to gain access to experimental or observational equipment and which allows geographically dispersed individuals to communicate and collaborate; implicit here are ideas such as the rise of lightweight challenge-focused virtual organizations
  • We now have enormous curated databases serving various disciplines: GenBank for gene sequences; the Worldwide Protein Data Bank for protein structures; and the Sloan Digital Sky Survey and planned successors for (synoptic) astronomical observations. All of these are relied upon by large numbers of working scientists. Yet the people who compiled these databases are often not regarded by their colleagues as "real" scientists but, rather, as "once-scientists" who got off-track and started doing resource-building for the community. And it's true: many resource-builders don't have the time to be actively doing science (i.e., analysis and discovery); instead, they are building and enabling the tools that will advance the collective scientific enterprise in other, less traditional ways. The academic and research community faces a fundamental challenge in developing norms and practices that recognize and reward these essential contributions.This idea—of people not doing "real" research, even though they are building up resources that can enable others to do research—has played out as well in the humanities. The humanists have often tried to make a careful distinction between the work of building a base of evidence and the work of interpreting that evidence to support some particular analysis, thesis, and/or set of conclusions; this is a little easier in the humanities because the scale of collaboration surrounding emerging digital resources and their exploitation for scholarship is smaller (contrast this to the literal "cast of thousands" at CERN) and it's common here to see the leading participants play both roles: resource-builder and "working" scholar.
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  • Still, in all of these examples of digital scholarship, a key challenge remains: How can we curate and manage data now that so much of it is being produced and collected in digital form? How can we ensure that it will be discovered, shared, and reused to advance scholarship?
  • On a final note, I have talked above mostly about changes in the practice of scholarship. But changes in the practice of scholarship need to go hand-in-hand with changes in the communication and documentation of scholarship.
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    Interesting short piece on challenges of digital scholarship
Todd Suomela

The Realities of Research Data Management - 0 views

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    "The Realities of Research Data Management is a four-part series that explores how research universities are addressing the challenge of managing research data throughout the research lifecycle. Research data management (RDM) has emerged as an area of keen interest in higher education, leading to considerable investment in services, resources and infrastructure to support researchers' data management needs. In this series, we examine the context, influences and choices higher education institutions face in building or acquiring RDM capacity-in other words, the infrastructure, services and other resources needed to support emerging data management practices. Our findings are based on case studies of four institutions: University of Edinburgh (UK), the University of Illinois at Urbana-Champaign (US), Monash University (Australia) and Wageningen University & Research (the Netherlands), in four very different national contexts. "
Todd Suomela

Tools for Scaffolding Students in a Complex Learning Environment: What Have We Gained a... - 0 views

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    "This article discusses the change in the notion of scaffolding from a description of the interactions between a tutor and a student to the design of tools to support student learning in project-based and design-based classrooms. The notion of scaffolding is now increasingly being used to describe various forms of support provided by software tools, curricula, and other resources designed to help students learn successfully in a classroom. However, some of the critical elements of scaffolding are missing in the current use of the scaffolding construct. Although new curricula and software tools now described as scaffolds have provided us with novel techniques to support student learning, the important theoretical features of scaffolding such as ongoing diagnosis, calibrated support, and fading are being neglected. This article discusses how to implement these critical features of scaffolding in tools, resources, and curricula. It is suggested that if tools are designed based on the multiple levels of the student understanding found in a classroom, tools themselves might be removed to achieve fading."
Matt Gardzina

Pixabay - Public Domain Images - 0 views

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    Great resource for public domain images.
Jennifer Parrott

Teaching Resources for GIS Educators - 0 views

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    Diana Sinton's Teach GIS site
jatolbert

Digital Scholarship Considered: How New Technologies Could Transform Academic Work | Pe... - 1 views

    • jatolbert
       
      The existence of an office like DP&S mitigates this.
  • The variable pace of technological adoption and change within higher education can be seen as the result of several factors: education has more components than a pure content industry, such as assessment and accreditation; that higher education qualifications such as the undergraduate degree have a social capital that is not easily changed; that there is a fundamental conservatism in and around higher education.
  • These studies demonstrate some evidence for the existence of disciplinary differences in technology adoption, which suggests that there is not a homogeneous form of “scholarship” within academia.
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    • jatolbert
       
      Digital tools facilitate collaboration
  • These kinds of figures far exceed the sales of scholarly books and journal article access; so we can see that new technologies are facilitating access to a new audience that is disintermediating many of the conventional channels. Key to realizing a personal brand online is an attitude of openness. This involves sharing aspects of personal life on social network sites, blogging ideas rather than completed articles, and engaging in experiments with new media.
  • From the individual scholar’s point of view using open educational resources allows access to high quality materials although this might require a new skill set in re-appropriating these tools to meet local and course specific contexts. There is also the question of recognising and valuing the creation and recreation of these learning resources as academic outputs, in a way that is analogous to the value of producing physical textbooks previously.
  • It is clear from the foregoing discussion that new technologies hold out very real possibilities for change across all facets of scholarship. In each case these afford the possibility for new more open ways of working. Academic work has always contained a significant element of collaboration within academia but now it is increasingly easy to collaborate with more colleagues within but also beyond the academy and for the varied products of these collaborations to be available to the widest possible audience.
  • These new web based technologies are then a necessary, but not sufficient, condition for a radical opening up of scholarly practice. In this sense digital scholarship is more than just using information and communication technologies to research, teach and collaborate, but it is embracing the open values, ideology and potential of technologies born of peer-to-peer networking and wiki ways of working in order to benefit both the academy and society. Digital scholarship can only have meaning if it marks a radical break in scholarship practices brought about through the possibilities enabled in new technologies. This break would encompass a more open form of scholarship.
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    Makes the important argument that "digital scholarship" as a term is only meaningful if it denotes something radically different from other types of scholarship. Their argument is that what should distinguish DS is its openness, as digital tools enable open processes, collaboration, etc.
Todd Suomela

DSHR's Blog: Ithaka's Perspective on Digital Preservation - 0 views

  • Second, there is very little coverage of Web archiving, which is clearly by far the largest and most important digital preservation initiative both for current and future readers. The Internet Archive rates only two mentions, in the middle of a list of activities and in a footnote. This is despite the fact that archive.org is currently the 211th most visited site in the US (272nd globally) with over 5.5M registered users, adding over 500 per day, and serving nearly 4M unique IPs per day. For comparison, the Library of Congress currently ranks 1439th in the US (5441st globally). The Internet Archive's Web collection alone probably dwarfs all other digital preservation efforts combined both in size and in usage. Not to mention their vast collections of software, digitized books, audio, video and TV news.. Rieger writes: There is a lack of understanding about how archived websites are discovered, used, and referenced. “Researchers prefer to cite the original live-web as it is easier and shorter,” pointed out one of the experts. “There is limited awareness of the existence of web archives and lack of community consensus on how to treat them in scholarly work. The problems are not about technology any more, it is about usability, awareness, and scholarly practices.” The interviewee referred to a recent CRL study based on an analysis of referrals to archived content from papers that concluded that the citations were mainly to articles about web archiving projects. It is surprising that the report doesn't point out that the responsibility for educating scholars in the use of resources lies with the "experts and thought leaders" from institutions such as the University of California, Michigan State, Cornell, MIT, NYU and Virginia Tech. That these "experts and thought leaders" don't consider the Internet Archive to be a resource worth mentioning might have something to do with the fact that their scholars don't know that they should be using it. A report whose first major section, entitled "What's Working Well", totally fails to acknowledge the single most important digital preservation effort of the last two decades clearly lacks credibility
  • Finally, there is no acknowledgement that the most serious challenge facing the field is economic. Except for a few corner cases, we know how to do digital preservation, we just don't want to pay enough to have it done. Thus the key challenge is to achieve some mixture of significant increase in funding for, and significant cost reduction in the processes of, digital preservation. Information technology processes naturally have very strong economies of scale, which result in winner-take-all markets (as W. Brian Arthur pointed out in 1985). It is notable that the report doesn't mention the winners we already have, in Web and source code archiving, and in emulation. All are at the point where a competitor is unlikely to be viable. To be affordable, digital preservation needs to be done at scale. The report's orientation is very much "let a thousand flowers bloom", which in IT markets only happens at a very early stage. This is likely the result of talking only to people nurturing a small-scale flower, not to people who have already dominated their market niche. It is certainly a risk that each area will have a single point of failure, but trying to fight against the inherent economics of IT pretty much guarantees ineffectiveness.
  • 1) The big successes in the field haven't come from consensus building around a roadmap, they have come from idiosyncratic individuals such as Brewster Kahle, Roberto di Cosmo and Jason Scott identifying a need and building a system to address it no matter what "the community" thinks. We have a couple of decades of experience showing that "the community" is incapable of coming to a coherent consensus that leads to action on a scale appropriate to the problem. In any case, describing road-mapping as "research" is a stretch. 2) Under severe funding pressure, almost all libraries have de-emphasized their custodial role of building collections in favor of responding to immediate client needs. Rieger writes: As one interviewee stated, library leaders have “shifted their attention from seeing preservation as a moral imperative to catering to the university’s immediate needs.” Regrettably, but inevitably given the economics of IT markets, this provides a market opportunity for outsourcing. Ithaka has exploited one such opportunity with Portico. This bullet does describe "research" in the sense of "market research".  Success is, however, much more likely to come from the success of an individual effort than from a consensus about what should be done among people who can't actually do it. 3) In the current climate, increased funding for libraries and archives simply isn't going to happen. These institutions have shown a marked reluctance to divert their shrinking funds from legacy to digital media. Thus the research topic with the greatest leverage in turning funds into preserved digital content is into increasing the cost-effectiveness of the tools, processes and infrastructure of digital preservation.
Todd Suomela

Open Pedagogy Notebook | Sharing Practices, Building Community - 0 views

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    "This website is designed to serve as a resource for educators interested in learning more about Open Pedagogy. We invite you to browse through the examples, which include both classroom-tested practices and budding ideas, and to consider contributing examples of your own experiments with open pedagog"
Todd Suomela

Author discusses new book about how American higher education has always been 'a perfec... - 0 views

  • The typical university is in constant tension between autonomous academic departments, which control curriculum and faculty hiring and promotion, and a strong president, who controls funding and is responsible only to the lay board of directors who own the place. Also thrown into the mix are a jumble of independent institutes, research centers and academic programs that have emerged in response to a variety of funding opportunities and faculty initiatives. The resulting institution is a hustler’s paradise, driven by a wide array of entrepreneurial actors: faculty trying to pursue intellectual interests and forge a career; administrators trying to protect and enrich the larger enterprise; and donors and students who want to draw on the university’s rich resources and capitalize on association with its stellar brand. These actors are feverishly pursuing their own interests within the framework of the university, which lures them with incentives, draws strength from their complex interactions and then passes these benefits on to society.
  • The biggest problem facing the American system of higher education today is how to deal with its own success. In the 19th century, very few people attended college, so the system was not much in the public spotlight. Burgeoning enrollments in the 20th century put the system center stage, especially when it became the expectation that most people should graduate from some sort of college. As higher education moved from being an option to becoming a necessity, it increasingly found itself under the kind of intense scrutiny that has long been directed at American schools.
  • The danger posed by this accountability pressure is that colleges, like the K-12 schools before them, will come under pressure to narrow their mission to a small number of easily measurable outcomes. Most often the purpose boils down to the efficient delivery of instructional services to students, which will provide them with good jobs and provide society with an expanding economy. This ignores the wide array of social functions that the university serves. It’s a laboratory for working on pressing social problems; a playpen for intellectuals to pursue whatever questions seem interesting; a repository for the knowledge needed to address problems that haven’t yet emerged; a zone of creativity and exploration partially buffered from the realm of necessity; and, yes, a classroom for training future workers. The system’s organizational messiness is central to its social value.
    • Todd Suomela
       
      The idea that colleges should be valued for their organizational messiness is also quite interesting. Where does this messiness fit into Bucknell?
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  • The American system of higher education emerged in a unique historical setting in the early 19th century, when the state was weak, the market strong and the church divided. Whereas the European university was the creature of the medieval Roman Catholic church and then grew strong under the rising nation-state in the early modern period, the American system lacked the steady support of church or state and had to rely on the market in order to survive. This posed a terrible problem in the 19th century, as colleges had to scrabble around looking for consumers who would pay tuition and for private sponsors who would provide donations. But at the same time, it planted the seeds of institutional autonomy that came to serve the system so well in the next two centuries. Free from the control of church and state, individual colleges learned to survive on their own resources by meeting the needs of their students and their immediate communities.
Matt Gardzina

Horizon Report Preview 2019 | EDUCAUSE - 0 views

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    The EDUCAUSE Horizon Report Preview provides summaries of each of the upcoming edition's trends, challenges, and important developments in educational technology, which were ranked most highly by the expert panel. This year's trends include modularized and disaggregated degrees, the advancing of digital equity, and blockchain.
jatolbert

Open Stacks: Making DH Labor Visible ← dh+lib - 1 views

  • When infrastructure is understood as an irrational social formation, emotional labor tends to compensate for a perceived lack of resources. Scholars who are used to the invisibility of traditional library services, for instance, find that digital projects expose hierarchies and bureaucracies that they don’t want to negotiate or even think about, and the DH librarian or one of her colleagues steps in to run interference. Why can’t the dean of libraries just tell that department to create the metadata for my project? After all, they already create metadata for the library’s systems. Why can’t web programming be a service you provide to me like interlibrary loan? I thought the library was here to support my scholarship. Why can’t you maintain my website after I retire–exactly the way it looks and feels today, plus update it as technology changes? In some conversations, these questions may be rhetorical; it may take emotional labor to answer them, but doing so exposes the workings of the library’s infrastructure–its social stack.
    • jatolbert
       
      More conflation of DH with all digital scholarship
  • How does DH fit within this megastructure? According to some critics, DH is part of the problem of the neoliberal university because it privileges networked, collaborative scholarship over individual production. If creating a tool (hacking) or using computational methods has the same scholarly significance as writing a monograph, then individualized knowledge pursued for its own sake, the struggle at the heart of humanistic inquiry, is devalued. Yet writing a book always depended on invisible (gendered) labor in the academy. Word processing, library automation, and widespread digitization are just three examples of the support labor for traditional scholarly work that Bratton’s globalized technology Stack has absorbed. (And we know that the fruits of that labor are in no way distributed equitably.) What has changed in the neoliberal university is that the humanities scholar becomes one more node in a knowledge-producing system. Does it matter, then, whether DH work produces ideas or things, critics say, if all are absorbed into a totalizing system that elides the individual scholar’s privileged position? This is of course a vision of scholarship that is traditionally specific to the humanities; lab science and the performing arts, for example, have always been deeply collaborative (but with their own systems of privilege and credit).
  • DH librarians, whose highly collaborative work is dedicated to social justice and public engagement, may be one particularly vital community of practice for exposing the changing conditions that create knowledge.
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  • like the fish who asks “what is water?”–most scholars are unaware of the extent to which their work, professional interactions, and finances are imbricated with the global technology Stack.
    • jatolbert
       
      Also not sure that this is true.
  • Many DH programs, initiatives, and teams have arisen organically out of social connections rather than centralized planning.
  • the myth of scarcity
  • Scholars often presume that because libraries acquire, shelve, and preserve the print books that they write, that the same libraries will acquire, shelve (or host), and preserve digital projects.
    • jatolbert
       
      This is a natural assumption, and in fact is true in many cases.
  • digital scholarship
  • DH
  • digital scholarship
Todd Suomela

For Google, Everything Is a Popularity Contest - The Atlantic - 0 views

  • PageRank and Classic Papers reveal Google’s theory of knowledge: What is worth knowing is what best relates to what is already known to be worth knowing. Given a system that construes value by something’s visibility, be it academic paper or web page, the valuable resources are always the ones closest to those that already proved their value.Google enjoys the benefits of this reasoning as much as anyone. When Google tells people that it has found the most lasting scholarly articles on a subject, for example, the public is likely believe that story because they also believe Google tends to find the right answers.
  • It’s as if Google, the company that promised to organize and make accessible the world’s information, has done the opposite. Almost anything can be posted, published, or sold online today, but most of it cannot be seen. Instead, information remains hidden, penalized for having failed to be sufficiently connected to other, more popular information. But to think differently is so uncommon, the idea of doing so might not even arise—for shoppers and citizens as much as for scholars. All information is universally accessible, but some information is more universally accessible than others.
jatolbert

The Digital-Humanities Bust - The Chronicle of Higher Education - 0 views

  • To ask about the field is really to ask how or what DH knows, and what it allows us to know. The answer, it turns out, is not much. Let’s begin with the tension between promise and product. Any neophyte to digital-humanities literature notices its extravagant rhetoric of exuberance. The field may be "transforming long-established disciplines like history or literary criticism," according to a Stanford Literary Lab email likely unread or disregarded by a majority in those disciplines. Laura Mandell, director of the Initiative for Digital Humanities, Media, and Culture at Texas A&M University, promises to break "the book format" without explaining why one might want to — even as books, against all predictions, doggedly persist, filling the airplane-hanger-sized warehouses of Amazon.com.
  • A similar shortfall is evident when digital humanists turn to straight literary criticism. "Distant reading," a method of studying novels without reading them, uses computer scanning to search for "units that are much smaller or much larger than the text" (in Franco Moretti’s words) — tropes, at one end, genres or systems, at the other. One of the most intelligent examples of the technique is Richard Jean So and Andrew Piper’s 2016 Atlantic article, "How Has the MFA Changed the American Novel?" (based on their research for articles published in academic journals). The authors set out to quantify "how similar authors were across a range of literary aspects, including diction, style, theme, setting." But they never cite exactly what the computers were asked to quantify. In the real world of novels, after all, style, theme, and character are often achieved relationally — that is, without leaving a trace in words or phrases recognizable as patterns by a program.
  • Perhaps toward that end, So, an assistant professor of English at the University of Chicago, wrote an elaborate article in Critical Inquiry with Hoyt Long (also of Chicago) on the uses of machine learning and "literary pattern recognition" in the study of modernist haiku poetry. Here they actually do specify what they instructed programmers to look for, and what computers actually counted. But the explanation introduces new problems that somehow escape the authors. By their own admission, some of their interpretations derive from what they knew "in advance"; hence the findings do not need the data and, as a result, are somewhat pointless. After 30 pages of highly technical discussion, the payoff is to tell us that haikus have formal features different from other short poems. We already knew that.
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  • The outsized promises of big-data mining (which have been a fixture in big-figure grant proposals) seem curiously stuck at the level of confident assertion. In a 2011 New Left Review article, "Network Theory, Plot Analysis," Moretti gives us a promissory note that characterizes a lot of DH writing: "One day, after we add to these skeletons the layers of direction, weight and semantics, those richer images will perhaps make us see different genres — tragedies and comedies; picaresque, gothic, Bildungsroman … — as different shapes; ideally, they may even make visible the micro-patterns out of which these larger network shapes emerge." But what are the semantics of a shape when measured against the tragedy to which it corresponds? If "shape" is only a place-holder meant to allow for more-complex calculations of literary meaning (disburdened of their annoyingly human baggage), by what synesthetic principle do we reconvert it into its original, now reconfigured, genre-form? It is not simply that no answers are provided; it is that DH never asks the questions. And without them, how can Moretti’s "one day" ever arrive?
  • For all its resources, the digital humanities makes a rookie mistake: It confuses more information for more knowledge. DH doesn’t know why it thinks it knows what it does not know. And that is an odd place for a science to be.
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