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A Case For Data Dashboards: First Steps with R Shiny
Unrestricted Use
CC BY
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Dashboards for data visualisation, such as R Shiny and Tableau, allow an interactive exploration of data by means of drop-down lists and checkboxes, with no coding for the user. The apps can be useful for both the data analyst and the public.

Subject:
Applied Science
Life Science
Physical Science
Social Science
Material Type:
Reading
Author:
Pablo Bernabeu
Date Added:
01/27/2020
Data Is Present: Open Workshops and Hackathons
Unrestricted Use
CC BY
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Original data has become more accessible thanks to cultural and technological advances. On the internet, we can find innumerable data sets from sources such as scientific journals and repositories, local and national governments, and non-governmental organisations. Often, these data may be presented in novel ways, by creating new tables or plots, or by integrating additional data. Free, open-source software has become a great companion for open data. This open scholarship project offers free workshops and coding meet-ups (hackathons) to learn and practise data presentation, across the UK. It is made possible by a fellowship of the Software Sustainability Institute.

Subject:
Applied Science
Life Science
Physical Science
Social Science
Material Type:
Activity/Lab
Author:
Pablo Bernabeu
Date Added:
01/27/2020
"A “How-To” Manual for Doing Standard Statistics in R" by Elizabeth Newton
Only Sharing Permitted
CC BY-NC-ND
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This “How To….” Manual is intended to assist the new user in implementing standard statistical methods, both parametric and non-parametric, using R statistical software. Its focus is on R implementation, not statistical theory. It includes the R commands, with examples, for the following: proportion tests, t-tests, ANOVA, variance tests, several correlation measures and regression models, Mann-Whitney-Wilcoxon tests, Kruskal-Wallis tests, chi-squared tests, multiple pairwise comparisons and effect sizes. Basic graphical methods are also illustrated.

Subject:
Mathematics
Statistics and Probability
Material Type:
Data Set
Full Course
Textbook
Provider:
Fontbonne University
Author:
Elizabeth Newton
Date Added:
06/02/2020
Open Source Software
Unrestricted Use
Public Domain
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From last 2 decades the acceptance of ICT in every aspect of operations that facilitates the information organization and dissemination of information. Now a days the ICT tools like Open source Software very much popular in the data management and data organization, hence the Open source Software are the alternatives to most of the commercial software. All around the world due to The emergence of OSS no. of organization. offices and libraries etc. adopts OSS for their daily work. OSS has introduced a lot of new concept of managing the library and change the way in library daily operations. Open Source Software has become increasingly popular all around the world every year no. of software user migrate from proprietary software to open source software due to cost and functionality of the OSS.

Subject:
Applied Science
Information Science
Material Type:
Lecture Notes
Author:
INNOVATION PEI
Date Added:
08/26/2019
Open Web Mapping
Conditional Remix & Share Permitted
CC BY-NC-SA
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Everyone can make a web map now, but what are the best tools to do so? Maybe you have already created web maps with ArcGIS or Google Maps but never taken time to have a closer look at open source software alternatives such as QGIS, GeoServer and Leaflet? Or, are you new to web mapping and looking for the best way to create a web application for spatial data from your job or hobby? If so, GEOG 585, Open Web Mapping, is the right course for you. Learn about FOSS vs. proprietary GIS software, open data and standards for web mapping, and how to create beautiful and interactive web maps with Javascript and Leaflet.

Subject:
Applied Science
Computer Science
Information Science
Material Type:
Full Course
Provider:
Penn State College of Earth and Mineral Sciences
Author:
Sterling Quinn
Date Added:
10/07/2019
Sagemath: Open-Source Mathematical Software System
Conditional Remix & Share Permitted
CC BY-SA
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0.0 stars

SageMath is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more. Access their combined power through a common, Python-based language or directly via interfaces or wrappers.

Subject:
Mathematics
Material Type:
Homework/Assignment
Interactive
Author:
The Sage Developers
Date Added:
02/11/2021
Software Carpentry
Unrestricted Use
CC BY
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0.0 stars

Since 1998, Software Carpentry has been teaching researchers the computing skills they need to get more done in less time and with less pain. Our volunteer instructors have run hundreds of events for more than 34,000 researchers since 2012. All of our lesson materials are freely reusable under the Creative Commons - Attribution license.

Subject:
Applied Science
Life Science
Physical Science
Social Science
Material Type:
Full Course
Provider:
Software Carpentry Community
Author:
Software Carpentry Community
Date Added:
06/18/2020
Static Web Publishing for Digital Scholarship: Bibliography
Unrestricted Use
CC BY
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This annotated bibliography provides an overview of how static websites can be used for scholarly purposes. It includes publications representing a variety of communities, including libraries, digital humanities, and open source software. The citations included in this bibliography –with few exceptions– focus on librarians and scholars who use static websites for their work.

Subject:
Applied Science
Business and Communication
Communication
Computer Science
Information Science
Material Type:
Activity/Lab
Author:
Chris Diaz
Date Added:
01/31/2021
Studies in Western Music History: Quantitative and Computational Approaches to Music History
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

The disciplines of music history and music theory have been slow to embrace the digital revolutions that have transformed other fields' text-based scholarship (history and literature in particular). Computational musicology opens the door to the possibility of understanding—even if at a broad level—trends and norms of behavior of large repertories of music. This class presents the major approaches, results, and challenges of computational musicology through readings in the field, gaining familiarity with datasets, and hands on workshops and assignments on data analysis and "corpus" (i.e., repertory) studies. Class sessions alternate between discussion/lecture and labs on digital tools for studying music. A background in music theory and/or history is required, and experience in computer programming will be extremely helpful. Coursework culminates in an independent research project in quantitative or computational musicology that will be presented to the class as a whole.

Subject:
Arts and Humanities
Performing Arts
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Cuthbert, Michael
Date Added:
02/01/2012
An open source pharma roadmap
Unrestricted Use
CC BY
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0.0 stars

In an Essay, Matthew Todd and colleagues discuss an open source approach to drug development. This Essay outlines how open source methods of working could be applied to the discovery and development of new medicines. There are many potential advantages of an open source approach, such as improved efficiency, the quality and relevance of the research, and wider participation by the scientific and patient communities; a blend of traditional and innovative financing mechanisms will have to be adopted. To evaluate properly the effectiveness of an open source methodology and its potential as an alternative model of drug discovery and development, we recommend that new projects be trialed and existing projects scaled up. Where we stand The scientific and medical community has discovered and developed many groundbreaking medicines that have had a major impact on public health. However, drug development is challenged by a widening gap between health needs and the pharmaceutical industry’s motives and business model, alongside a decrease in efficiency per research dollar spent in medicinal product research and development (R&D), a trend known colloquially as Eroom’s Law. Such fundamental challenges result in frequent high-level calls for new initiatives to develop therapeutics and bring them to market. These include market push and pull mechanisms such as priority review vouchers, advance market commitments, and public R&D funding. New organizational models have also emerged, including public–private partnerships (PPPs) and not-for-profit product development partnerships (PDPs) (for example, the Drugs for Neglected Diseases Initiative [DNDi], the Medicines for Malaria Venture [MMV], and the Global Alliance for Tuberculosis Drug Development [TB Alliance]) that often apply a full “de-linkage” model in which the price of medicines and the cost of R&D are uncoupled.

Subject:
Applied Science
Biology
Health, Medicine and Nursing
Life Science
Material Type:
Reading
Provider:
PLOS Medicine
Author:
Els Torreele
Jaykumar Menon
John McKew
John Wilbanks
Manica Balasegaram
Matthew H. Todd
Peter Kolb
Piero Olliaro
Tomasz Sablinski
Zakir Thomas
Date Added:
08/07/2020