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katarzyna szkuta

Special Track Research 2.0 (#STR20) | i-KNOW 2012 - 1 views

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    Research 2.0 deals with the involvement of the web in science. It spans from the utilization of Web 2.0 tools and technologies in research to a more open and sharing approach to science. Some definitions of Research 2.0 even include notions of a methodological change due to the abundance of data, and the nature of the socio-technical systems on the web.
david osimo

Research 2.0.2: How research is conducted : Soapbox Science - 0 views

  • Traditionally, research was conducted by a single scientist or a small team of scientists within a single laboratory. The scientist(s) would conduct the majority of required experiments themselves, even if they did not initially have the necessary expertise or equipment. If they could not conduct an experiment themselves, they would attempt to find a collaborator in another lab to help them by using a barter system. This barter system essentially involves one scientist asking for a favor from another scientist, with the potential upside being co-authorship on any publications that are produced by the work. This type of collaborative arrangement depends heavily on personal networks developed by scientists.
  • The amount of collaboration required in research will continue to increase, driven by many factors including: The need for ever more complex and large scale instrumentation to delve deeper into biological and physical processes The maturation of scientific disciplines requiring more and more knowledge in order to make significant advances, a demand which can often only be met by pooling knowledge with others An increasing desire to obtain cross-fertilization across disciplines
  • So with large teams of scientists, often based at remote institutions, increasingly needing to work together to solve complex problems, there will be a demand for new tools to help facilitate collaboration. Specifically, there will be an increasing need for tools that allow researchers to easily find and access other scientists with the expertise required to advance their research projects. In my view, to operate most efficiently these tools also need new methods to reward researchers for participating in these collaborations.
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  • One result of the rise in research requiring the combination of multiple specialized areas of expertise on ever shortening time-scales is, unfortunately, a concomitant decrease in the reproducibility of the published results (New York Times, Wall Street Journal and Nature.).  It is now apparent that independent validation of key experimental findings is an essential step that will be placed in the research process.
iaravps

Research 2.0.3: The future of research communication : Soapbox Science - 0 views

  • Open Access has led directly to an increase in usage of platforms that make is easy for researchers to comply with this mandate by depositing open access versions of their papers. Examples of companies in this space are Academia.edu, ResearchGate.net and Mendeley.  Open Access also means that anyone can contribute to the post-publication evaluation of research articles.
  • There are a number of initiatives focused on improving the process of peer review. Post-publication peer review, in which journals publish papers after minimal vetting and then encourage commentary from the scientific community, has been explored by several publishers, but has run into difficulties incentivizing sufficient numbers of experts to participate.  Initiatives like Faculty of 1000 have tried to overcome this by corralling experts as part of post-publication review boards.  And sometimes, as in the case of arsenic-based life, the blogosphere has taken peer review into its own hands.
  • Traditionally the number of first and senior author publications, and the journal(s) in which those publications appear, has been the key criteria for assessing the quality of a researcher’s work. This is used by funding agencies to determine whether to award research grants to conduct their future work, as well as by academic research institutions to inform hiring and career progression decisions. However, this is actually a very poor measure of a researcher’s true impact since a) it only captures a fraction of a researcher’s contribution and b) since more than 70% of published research cannot be reproduced, the publication based system rewards researchers for the wrong thing (the publication of novel research, rather than the production of robust research).
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  • The h-index was one of the first alternatives proposed as a measure of scientific research impact.  It and its variants rely on citation statistics, which is a good start, but includes a delay which can be quite long, depending on the rapidity with which papers are published in a particular field.  There are a number of startups that are attempting to improve the way a researcher’s reputation is measured. One is ImpactStory which is attempting to aggregate metrics from researcher’s articles, datasets, blog posts, and more. Another is ResearchGate.net which has developed its own RG Score.
  • Which set of reputational signifiers rise to the top will shape the future of science itself.
Francesco Mureddu

MilkyWay@Home - 0 views

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    Milkyway@Home uses the BOINC platform to harness volunteered computing resources, creating a highly accurate three dimensional model of the Milky Way galaxy using data gathered by the Sloan Digital Sky Survey. This project enables research in both astroinformatics and computer science. In computer science, the project is investigating different optimization methods which are resilient to the fault-prone, heterogeneous and asynchronous nature of Internet computing; such as evolutionary and genetic algorithms, as well as asynchronous newton methods. While in astroinformatics, Milkyway@Home is generating highly accurate three dimensional models of the Sagittarius stream, which provides knowledge about how the Milky Way galaxy was formed and how tidal tails are created when galaxies merge.
katarzyna szkuta

arXiv.org e-Print archive - 0 views

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    Open access to 747,019 e-prints in Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance and Statistics 29 Mar 2012: new "culturomics" arXiv analysis tool available 6 Feb 2012: January arXiv Sustainability Initiative update See cumulative "What's New" pages.
katarzyna szkuta

Nature Network - 0 views

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    Connecting scientists worldwide, with blogs, forums, and groups. Social networking for scientists. From the publishers of Nature.
katarzyna szkuta

Gateway to Scientific Data - Canada Institute for Scientific and Technical Information - 0 views

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    Aims to improve access to scientific research data for Canadians and provide resources to guide data management activities. Browse Data Sets Access Canadian scientific, technical and medical (STM) data sets from a broad range of scientific disciplines. Data Management and Curation A resource for researchers looking for information on policies and best practices to guide their data management and curation activities.
david osimo

Scientific Communication As Sequential Art - 0 views

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    "Nature paper"
katarzyna szkuta

Rosetta@home - 0 views

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    distributed-computing projects in which volunteers download a small piece of software and let their home computers do some extracurricular work when the machines would otherwise be idle (after Nature article of Eric Hand)
katarzyna szkuta

BNHC | BioBlitz - 0 views

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    A "BioBlitz" is a large scale event that engages large numbers of people with biodiversity, inviting them to get directly involved in surveying and monitoring. During a BioBlitz event scientists and members of the public work together to survey a natural space; seeking, identifying and recording as many species as possible over 24 hours.
Francesco Mureddu

Access : Literature mining for the biologist: from information retrieval to biological ... - 0 views

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    For the average biologist, hands-on literature mining currently means a keyword search in PubMed. However, methods for extracting biomedical facts from the scientific literature have improved considerably, and the associated tools will probably soon be used in many laboratories to automatically annotate and analyse the growing number of system-wide experimental data sets. Owing to the increasing body of text and the open-access policies of many journals, literature mining is also becoming useful for both hypothesis generation and biological discovery. However, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists.
Francesco Mureddu

ShanghAI Lectures - 0 views

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    Goals of the ShanghAI Lectures The ShanghAI Lectures project aims at making education and knowledge on cutting-edge scientific topics accessible to everyone exploring novel methods of knowledge transfer building a sustainable community of students and researchers in the area of Embodied Intelligence overcoming the complexity of a multi-cultural and interdisciplinary learning context bringing global teaching to a new level These lectures about Natural and Artificial Intelligence are held via videoconference at the University of Zurich in Switzerland, the University of Salford/MediaCityUK in the United Kingdom, Shanghai Jiao Tong University in China, and about 12 other universities around the globe. Students from the participating universities work together on the exercises, using a powerful robotics simulator software.
Francesco Mureddu

The biological impact of mass-spectrometry-based prot... [Nature. 2007] - PubMed - NCBI - 0 views

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    In the past decade, there have been remarkable advances in proteomic technologies. Mass spectrometry has emerged as the preferred method for in-depth characterization of the protein components of biological systems. Using mass spectrometry, key insights into the composition, regulation and function of molecular complexes and pathways have been gained. From these studies, it is clear that mass-spectrometry-based proteomics is now a powerful 'hypothesis-generating engine' that, when combined with complementary molecular, cellular and pharmacological techniques, provides a framework for translating large data sets into an understanding of complex biological processes.
Francesco Mureddu

EteRNA - Played by Human, Scored by Nature - 0 views

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    EteRNA is an online game which resembles Tetris or Dr. Mario was developed by Carnegie Mellon University and Stanford University researchers to uncover principles for designing molecules of RNA, which biologists believe may be the key regulator for all cellular activity.
david osimo

Research impact: Altmetrics make their mark : Naturejobs - 0 views

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    "Research Excellence Framework (REF), an evaluation of UK academia that influences funding"
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