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Geospatial cyberinfrastructure: past, present and future
A Cyberinfrastructure (CI) is a combination of data resources, network protocols, computing
platforms, and computational services that brings people, information, and computational …
platforms, and computational services that brings people, information, and computational …
Theory and practice of data citation
G Silvello - Journal of the Association for Information Science …, 2018 - Wiley Online Library
Citations are the cornerstone of knowledge propagation and the primary means of
assessing the quality of research, as well as directing investments in science. Science is …
assessing the quality of research, as well as directing investments in science. Science is …
[KİTAP][B] Big data, little data, no data: Scholarship in the networked world
CL Borgman - 2017 - books.google.com
An examination of the uses of data within a changing knowledge infrastructure, offering
analysis and case studies from the sciences, social sciences, and humanities.“Big Data” is …
analysis and case studies from the sciences, social sciences, and humanities.“Big Data” is …
Benefits, adoption barriers and myths of open data and open government
In this article, based on data collected through interviews and a workshop, the benefits and
adoption barriers for open data have been derived. The results suggest that a conceptually …
adoption barriers for open data have been derived. The results suggest that a conceptually …
[KİTAP][B] Open science: one term, five schools of thought
B Fecher, S Friesike - 2014 - library.oapen.org
Open Science is an umbrella term encompassing a multitude of assumptions about the
future of knowledge creation and dissemination. Based on a literature review, this chapter …
future of knowledge creation and dissemination. Based on a literature review, this chapter …
If we share data, will anyone use them? Data sharing and reuse in the long tail of science and technology
Research on practices to share and reuse data will inform the design of infrastructure to
support data collection, management, and discovery in the long tail of science and …
support data collection, management, and discovery in the long tail of science and …
Roadmap on multiscale materials modeling
Modeling and simulation is transforming modern materials science, becoming an important
tool for the discovery of new materials and material phenomena, for gaining insight into the …
tool for the discovery of new materials and material phenomena, for gaining insight into the …
Science friction: Data, metadata, and collaboration
When scientists from two or more disciplines work together on related problems, they often
face what we call 'science friction'. As science becomes more data-driven, collaborative, and …
face what we call 'science friction'. As science becomes more data-driven, collaborative, and …
Attention please! Learning analytics for visualization and recommendation
E Duval - Proceedings of the 1st international conference on …, 2011 - dl.acm.org
This paper will present the general goal of and inspiration for our work on learning analytics,
that relies on attention metadata for visualization and recommendation. Through information …
that relies on attention metadata for visualization and recommendation. Through information …
Beyond the organizational 'container': Conceptualizing 21st century sociotechnical work
The sociotechnical systems (STS) approach provides a framework that is well suited to
grappling with many issues of work in organizations. By conceiving of work systems as …
grappling with many issues of work in organizations. By conceiving of work systems as …