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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

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
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