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Documents authored by Freire, Juliana

Document
DOI: 10.4230/DagRep.7.11.46
Connecting Visualization and Data Management Research (Dagstuhl Seminar 17461)

Authors: Remco Chang, Jean-Daniel Fekete, Juliana Freire, and Carlos E. Scheidegger

Published in: Dagstuhl Reports, Volume 7, Issue 11 (2018)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 17461 "Connecting Visualization and Data Management Research".
Cite as

Remco Chang, Jean-Daniel Fekete, Juliana Freire, and Carlos E. Scheidegger. Connecting Visualization and Data Management Research (Dagstuhl Seminar 17461). In Dagstuhl Reports, Volume 7, Issue 11, pp. 46-58, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{chang_et_al:DagRep.7.11.46,
  author =	{Chang, Remco and Fekete, Jean-Daniel and Freire, Juliana and Scheidegger, Carlos E.},
  title =	{{Connecting Visualization and Data Management Research (Dagstuhl Seminar 17461)}},
  pages =	{46--58},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{11},
  editor =	{Chang, Remco and Fekete, Jean-Daniel and Freire, Juliana and Scheidegger, Carlos E.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.11.46},
  URN =		{urn:nbn:de:0030-drops-86708},
  doi =		{10.4230/DagRep.7.11.46},
  annote =	{Keywords: Interactive data analysis, Data visualization, Visual analytics, Data management system, Systems for data science}
}
Document
DOI: 10.4230/DagRep.6.1.108
Reproducibility of Data-Oriented Experiments in e-Science (Dagstuhl Seminar 16041)

Authors: Juliana Freire, Norbert Fuhr, and Andreas Rauber

Published in: Dagstuhl Reports, Volume 6, Issue 1 (2016)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16041 "Reproducibility of Data-Oriented Experiments in e-Science". In many subfields of computer science, experiments play an important role. Besides theoretic properties of algorithms or methods, their effectiveness and performance often can only be validated via experimentation. In most of these cases, the experimental results depend on the input data, settings for input parameters, and potentially on characteristics of the computational environment where the experiments were designed and run. Unfortunately, most computational experiments are specified only informally in papers, where experimental results are briefly described in figure captions; the code that produced the results is seldom available. This has serious implications. Scientific discoveries do not happen in isolation. Important advances are often the result of sequences of smaller, less significant steps. In the absence of results that are fully documented, reproducible, and generalizable, it becomes hard to re-use and extend these results. Besides hindering the ability of others to leverage our work, and consequently limiting the impact of our field, the absence of reproducibility experiments also puts our reputation at stake, since reliability and validity of empiric results are basic scientific principles. This seminar brought together experts from various sub-fields of computer science to create a joint understanding of the problems of reproducibility of experiments, discussing existing solutions and impediments, and proposing ways to overcome current limitations.
Cite as

Juliana Freire, Norbert Fuhr, and Andreas Rauber. Reproducibility of Data-Oriented Experiments in e-Science (Dagstuhl Seminar 16041). In Dagstuhl Reports, Volume 6, Issue 1, pp. 108-159, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{freire_et_al:DagRep.6.1.108,
  author =	{Freire, Juliana and Fuhr, Norbert and Rauber, Andreas},
  title =	{{Reproducibility of Data-Oriented Experiments in e-Science (Dagstuhl Seminar 16041)}},
  pages =	{108--159},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{1},
  editor =	{Freire, Juliana and Fuhr, Norbert and Rauber, Andreas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.1.108},
  URN =		{urn:nbn:de:0030-drops-58174},
  doi =		{10.4230/DagRep.6.1.108},
  annote =	{Keywords: Documentation, Reliability, Repeatibility, Replicability, reproducibility, Software}
}
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