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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

The Data Curation Network - A shared staffing model for digital data repositories - 0 views

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    "We are the Data Curation Network As professional data curators, research data librarians, academic library administrators, directors of international data repositories, disciplinary subject experts, and scholars we represent academic institutions and non-profit societies that make research data available to the public. What we do Data curators prepare and enrich research data to make them findable, accessible, interoperable and reusable (FAIR). Sharing our data curation staff across DCN partner institutions enables data repositories to collectively, and more effectively, curate a wider variety of data types (e.g., discipline, file format, etc.) that expands beyond what any single institution might offer alone."
Todd Suomela

Data, a first-class research output - 0 views

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    " The Make Data Count (MDC) project is funded by the Alfred P. Sloan Foundation to develop and deploy the social and technical infrastructure necessary to elevate data to a first-class research output alongside more traditional products, such as publications. It will run between May 2017 and April 2019. The project will address the significant social as well as technical barriers to widespread incorporation of data-level metrics in the research data management ecosystem through consultation, recommendation, new technical capability, and community outreach. Project work will build upon long-standing partner initiatives supporting research data management and DLM, leverage prior Sloan investments in key technologies such as Lagotto, and enlist the cooperation of the research, library, funder, and publishing stakeholder communities."
Todd Suomela

The State of Open Data Report 2017 - 0 views

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    "Figshare's annual report, The State of Open Data 2017, looks at global attitudes towards open data. It includes survey results of 2,300 respondents and a collection of articles from industry experts, as well as a foreword from Jean-Claude Burgelman, Head of Unit Open Data Policies and Science Cloud at the European Commission. Its key finding is that open data has become more embedded in the research community - 82% of survey respondents are aware of open data sets and more researchers are curating their data for sharing."
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

A Guide for Resisting Edtech: the Case against Turnitin - Hybrid Pedagogy - 0 views

  • At the Digital Pedagogy Lab Institutes where we’ve taught, there’s one exercise in particular we return to again and again. In our “crap detection” exercise (named for Rheingold’s use of the term), participants use a rubric to assess one of a number of digital tools. The tools are pitted, head to head, in a sort of edtech celebrity deathmatch. Participants compare Blackboard and Canvas, for instance, or WordPress and Medium, Twitter and Facebook, Genius and Hypothes.is. We start by seeing what the tools say they do and comparing that to what they actually do. But the work asks educators to do more than simply look at the platform’s own web site, which more often than not says only the very best things (and sometimes directly misleading things) about the company and its tool. We encourage participants to do research — to find forums, articles, and blog posts written about the platform, to read the tool’s terms of service, and even to tweet questions directly to the company’s CEO.
  • Here’s the rubric for the exercise: Who owns the tool? What is the name of the company, the CEO? What are their politics? What does the tool say it does? What does it actually do? What data are we required to provide in order to use the tool (login, e-mail, birthdate, etc.)? What flexibility do we have to be anonymous, or to protect our data? Where is data housed; who owns the data? What are the implications for in-class use? Will others be able to use/copy/own our work there? How does this tool act or not act as a mediator for our pedagogies? Does the tool attempt to dictate our pedagogies? How is its design pedagogical? Or exactly not pedagogical? Does the tool offer a way that “learning can most deeply and intimately begin”? Over time, the exercise has evolved as the educators we’ve worked with have developed further questions through their research. Accessibility, for example, has always been an implicit component of the activity, which we’ve now brought more distinctly to the fore, adding these questions: How accessible is the tool? For a blind student? For a hearing-impaired student? For a student with a learning disability? For introverts? For extroverts? Etc. What statements does the company make about accessibility? Ultimately, this is a critical thinking exercise aimed at asking critical questions, empowering critical relationships, encouraging new digital literacies.
Todd Suomela

Home - OpenMinTeD - 0 views

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    "OpenMinted sets out to create an open, service-oriented ep-Infrastructure for Text and Data Mining (TDM) of scientific and scholarly content. Researchers can collaboratively create, discover, share and re-use Knowledge from a wide range of text-based scientific related sources in a seamless way."
Todd Suomela

Beyond buttonology: Digital humanities, digital pedagogy, and the ACRL Framework | Russ... - 0 views

  • Here are a few specific examples you can apply to your instructional design process to help learners with metacognition: Model the metacognitive process during instruction (or in one-on-one consultations) to ask and reflect on big picture questions such as: “What questions can you answer with this tool?” “What can you not do with this tool?” Keep in mind some answers may be simple (e.g., this tool can only work with data in this way, so it is excluded automatically). Also, “Did I get the results I expected? What could I have done differently?” Start with inquiry and build conversations based on the learner’s answers. “Is it the data that does not work? Or is the research question fundamentally wrong to begin with?” Collaborate with faculty to teach together, modelling your practices while demonstrating a specific tool. This could include thinking aloud as you make decisions so learners can self-correct assumptions. Also, be aware of your own expert bias so you can demonstrate how to clear obstacles. Ask learners to specifically define what is difficult for them during the process of instruction. Digital humanities tools are complex and are based on complex methodologies and research questions. By constructing opportunities for learners to self-question as they move from one task to another, they learn to self-assess their progress and adjust accordingly. There are several instructional design activities that promote metacognition: think-pair-share, one minute paper (“share a key concept learned” or “what comes next?”), and case studies.
  • There are specific strategies we can implement to help learners escape the recursive spiral of the liminal state they experience while managing complex digital projects: One of the most challenging aspects of teaching digital tools is forgetting what it is like to be a novice learner. Sometimes being a near-novice oneself helps you better prepare for the basic problems and frustrations learners are facing. But recognizing liminality is a reminder to you as a teacher that the learning process is not smooth, and it requires anticipating common difficulties and regularly checking in with learners to make sure you are not leaving them behind. When meeting with learners one-on-one, make sure to use your in-depth reference interview skills to engage in methods discussions. When a learner is in the liminal state, they are not always able to “see the forest for the trees.” Your directed questions will illuminate the problems they are having and the solutions they had not seen. Pay close attention to the digital humanities work and discussions happening on your own campus, as well as across the academic community. Working through the liminal space may require helping learners make connections to others facing similar problems. Also follow online discussions in order to point your learners to a wide variety of group learning opportunities, such as the active digital humanities community on Slack.9 When designing instructional opportunities, such as workshops and hackathons, pay particular attention to outreach strategies that may bring like-minded learners together, as well as diverse voices. For example, invite the scholar whose project was completed last year to add a more experienced voice to the conversation. By encouraging the formation of learning communities on your campus, you are creating safe spaces to help learners navigate the liminal state with others who may be on the other side of struggling with specific digital project issues. In designing instructional activities, guide learners through visualization exercises that help to identify “stuck” places. Making graphic representations of one’s thoughts (e.g., concept maps) can highlight areas that require clarification.
jatolbert

Trends in Digital Scholarship Centers | EDUCAUSE - 2 views

  • Although sometimes confused with digital scholarship centers, digital humanities centers are often specialized research centers led by a group of faculty and serving only select disciplines rather than a broad campus community. Also, libraries often play only a peripheral role in digital humanities centers.1 In contrast, libraries or IT organizations have a key role in digital scholarship centers.
    • jatolbert
       
      This is important.
  • Digital scholarship centers can build institutional capacity to address emerging and future scholarship needs.
  • Considering options for presenting or publishing completed projects
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  • A key attribute that distinguishes digital scholarship centers from more traditional research institutes (such as digital humanities centers) is that they are service organizations, staffed by individuals with specialized skills, who support work in the digital environment.
  • Whether a digital scholarship center needs a dedicated facility or can be a distributed set of physical spaces and services — or even a virtual service — are open questions. A physical center that brings together specialized equipment and services in one convenient place has the advantage of visibility and provides a venue for an array of programming, including workshops, guest lectures, and displays of completed projects. In other cases, an office or set of offices might serve as the hub for center staff, while equipment and services are dispersed in physically separate media production areas, GIS facilities, data visualization labs, and makerspaces.
  • The case studies also illustrate the importance of tailoring a digital scholarship program to the needs of the institution; there is no "one size fits all."
  • The Sherman Centre has taken a "design-build" approach: Spaces were rendered with maximum flexibility in mind — with minimal enclosed spaces and with a strong focus on moveable furniture and adaptable technology. Design work has continued long after the center was officially opened: Key service and space components have been added as the needs of the campus community have become more clear.
  • Thus, the Sherman Centre was not serving an established collection of self-identified digital scholars — it was growing its own.
  • First, we have learned the critical importance of clearly defining the Sherman Centre's scope and purpose for the campus community.
  • We often find ourselves having to turn people away when their work is not advancing the digital scholarship agenda. Saying no is not easy, but it must be done to protect the center's integrity.
  • Digital scholarship centers represent a model of engagement for libraries and information technology units. They both support and encourage new directions in research, teaching, and learning and provide the infrastructure (technical and human) to encourage experimentation in new areas of scholarship.
  • Experiences gained from existing digital scholarship centers can help uninitiated institutions better launch their own efforts and thereby increase support for the research, teaching, and learning needs of their campus communities.
  • Digital scholarship centers focus on relationships, extending the ways in which librarians and academic computing professionals relate to and work with faculty (and often students) and their scholarly practices.
  • Here, we examine centers that go by a variety of names — including digital scholarship center, digital scholarship lab, and scholars' lab — but that nonetheless share common features. These centers are generally administered by a central unit, such as the library or IT organization; serve the entire campus community (including undergraduates, graduate students, and faculty); and address the needs of a range of academic departments and programs.
Todd Suomela

Preservation of Electronic Government Information (PEGI) | CRL - 0 views

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    "Librarians, technologists, and other information professionals from the Center for Research Libraries, the Government Publishing Office (GPO), the University of North Texas, the University of California at Santa Barbara, the University of Missouri, University of North Carolina at Greensboro and Stanford University are undertaking a two year project to address national concerns regarding the preservation of electronic government information (PEGI) by cultural memory organizations for long term use by the citizens of the United States. The PEGI project has been informed by a series of meetings between university librarians, information professionals, and representatives of federal agencies, including the Government Publishing Office and the National Archives and Records Administration. The focus of the PEGI proposal is at-risk government digital information of long term historical significance."
Todd Suomela

Welcome to the GEODE Initiative! - 0 views

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    "The Geographic Data in Education (GEODE) Initiative at Northwestern University is dedicated to improving public understanding of our world through education about the Earth's physical, biological, and social systems. Toward that end, the GEODE Initiative is engaged in a program of integrated research and development in the areas of learning, teaching and educational reform. The GEODE Initiative develops and studies curriculum, software, and teacher professional development. "
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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