Ecohydrological consequences of tree removal in an urban park evaluated using open data, free software and a minimalist measuring campaign

The increasing availability of open data resources provides opportunities for research and data science. It is necessary to develope tools that take advantage of the full potential of new information resources. In this work we developed the package for R istacr that provides a collection of eurostat functions to be able to consult and discard the data that Eurostat, including functions to retrieve, download and manipulate the data set available through the ISTAC BASE API of the Canary Institute of Statistics (ISTAC). In addition, A Shiny app was designed for a responsive visulization of the data. This develope is part of the growing demand for open data and ecosystems dedicated to reproducible research in computational social science and digital humanities. With this interest, this package has been included within rOpenSpain, a project that aims to promote transparent research methods mainly through the use of free software and open data in Spain.

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A Measure of Open Data: A Metric and Analysis of Reusable Data Practices in Biomedical Data Resources

10.1101/282830 ◽

2018 ◽

Cited By ~ 3

Author(s):

Seth Carbon ◽

Robin Champieux ◽

Julie McMurry ◽

Lilly Winfree ◽

Letisha R. Wyat ◽

...

Keyword(s):

Scientific Community ◽

Open Data ◽

Scientific Data ◽

Free Software ◽

Biomedical Data ◽

Drug Selection ◽

Research Support ◽

Creative Commons ◽

Data Practices ◽

Collective Data

ABSTRACTData is the foundation of science, and there is an increasing focus on how data can be reused and enhanced to drive scientific discoveries. However, most seemingly “open data” do not provide legal permissions for reuse and redistribution. Not being able to integrate and redistribute our collective data resources blocks innovation, and stymies the creation of life-improving diagnostic and drug selection tools. To help the biomedical research and research support communities (e.g. libraries, funders, repositories, etc.) understand and navigate the data licensing landscape, the (Re)usable Data Project (RDP) (http://reusabledata.org) assesses the licensing characteristics of data resources and how licensing behaviors impact reuse. We have created a ruleset to determine the reusability of data resources and have applied it to 56 scientific data resources (i.e. databases) to date. The results show significant reuse and interoperability barriers. Inspired by game-changing projects like Creative Commons, the Wikipedia Foundation, and the Free Software movement, we hope to engage the scientific community in the discussion regarding the legal use and reuse of scientific data, including the balance of openness and how to create sustainable data resources in an increasingly competitive environment.

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Reproducible Workflow for Cartography – Migrants Deaths in the Mediterranean

Proceedings of the ICA ◽

10.5194/ica-proc-2-38-2019 ◽

2019 ◽

Vol 2 ◽

pp. 1-7

Author(s):

Timothée Giraud ◽

Nicolas Lambert

Keyword(s):

Open Data ◽

Scientific Production ◽

Free Software ◽

R Software ◽

Software Ecosystem ◽

New Knowledge ◽

The Mediterranean

<p><strong>Abstract.</strong> As any scientific production, maps must be disputed and debated. The implementation of reproducible processes based on free software and open data is essential. In this paper, we demonstrate that this objective can be achieved in the R software ecosystem. In our demonstration, we propose a set of cartographic visualizations based on the example of dead and missing migrants in the Mediterranean over the period 2014–2018. Each representation focuses on one aspect of the phenomenon and the R code used is available. We argue that this multi-visualization contributes to bring new knowledge on the migration debate at European borders and aims at illustrating its geographical complexity.</p>

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Advancing an Open Ethos with Open Peer Review

College & Research Libraries ◽

10.5860/crl.78.4.406 ◽

2017 ◽

Vol 78 (4) ◽

pp. 406

Author(s):

Emily Ford

Keyword(s):

Open Access ◽

Open Source ◽

Source Code ◽

Open Data ◽

Open Educational Resources ◽

Free Software ◽

Open Government ◽

Label Free ◽

Web Browser ◽

The Web

Open source. Open access. Open data. Open notebooks. Open government. Open educational resources. Open access workflows. To be open is to have a disposition favoring transparent and collaborative efforts.Open is everywhere. Since the late 90’s when developers in Silicon Valley adopted the term ‘open source’ (suggested by Christine Peterson), the open movement has grown by leaps and bounds. The developers, who met after the web browser company Netscape made its source code open, articulated that ‘open’ “…illustrated a valuable way to engage with potential software users and developers, and convince them to create and improve source code by participating in an engaged community.”1 It also separated ‘open source’ “…from the philosophically- and politically-focused label ‘free software.’”2

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A value proposition for Open Science

10.31235/osf.io/k9qhv ◽

2020 ◽

Author(s):

Jonathan Tennant

Keyword(s):

Open Source ◽

Open Source Software ◽

Open Data ◽

Open Science ◽

Free Software ◽

Turn Of The Millennium ◽

Value Proposition ◽

A Value ◽

Human Understanding ◽

Fundamental Freedoms

Open Science has become commonly understood in terms of its practices. Open Access, Open Data, and Open Source software are all becoming commonplace in academia. However, unlike the Free and Open Source Software movement, Open Science seems to have become largely divorced from its pluralistic philosophical and ethical foundations, which seem to have reignited from the humanities at the turn of the Millennium. To close this gap, I propose a new value-based proposition for Open Science, that is akin to the “four fundamental freedoms” of Richard Stallman that catalysed the Free Software movement. In doing so, I hope to provide a more common, unified, and human understanding to notions of openness in science.

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