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Dive into the research topics where Aleksandra Pawlik is active.

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Featured researches published by Aleksandra Pawlik.


Computing in Science and Engineering | 2013

The Software Sustainability Institute: Changing Research Software Attitudes and Practices

Stephen Crouch; Neil Chue Hong; Simon Hettrick; Mike Jackson; Aleksandra Pawlik; Shoaib Sufi; Les Carr; David De Roure; Carole A. Goble; Mark Parsons

To effect change, the Software Sustainability Institute works with researchers, developers, funders, and infrastructure providers to identify and address key issues with research software.


F1000Research | 2014

BioJS: an open source standard for biological visualisation - its status in 2014.

Manuel Corpas; Rafael C. Jimenez; Seth Carbon; Alexander Garcia; Leyla Garcia; Tatyana Goldberg; John Gomez; Alexis Kalderimis; Suzanna E. Lewis; Ian Mulvany; Aleksandra Pawlik; Francis Rowland; Gustavo A. Salazar; Fabian Schreiber; Ian Sillitoe; William H Spooner; Anil Thanki; Jose M. Villaveces; Guy Yachdav; Henning Hermjakob

BioJS is a community-based standard and repository of functional components to represent biological information on the web. The development of BioJS has been prompted by the growing need for bioinformatics visualisation tools to be easily shared, reused and discovered. Its modular architecture makes it easy for users to find a specific functionality without needing to know how it has been built, while components can be extended or created for implementing new functionality. The BioJS community of developers currently provides a range of functionality that is open access and freely available. A registry has been set up that categorises and provides installation instructions and testing facilities at http://www.ebi.ac.uk/tools/biojs/. The source code for all components is available for ready use at https://github.com/biojs/biojs.


PLOS Computational Biology | 2015

A Quick Guide for Building a Successful Bioinformatics Community

Aidan Budd; Manuel Corpas; Michelle D. Brazas; Jonathan C. Fuller; Jeremy Goecks; Nicola Mulder; Magali Michaut; B. F. Francis Ouellette; Aleksandra Pawlik; Niklas Blomberg

“Scientific community” refers to a group of people collaborating together on scientific-research-related activities who also share common goals, interests, and values. Such communities play a key role in many bioinformatics activities. Communities may be linked to a specific location or institute, or involve people working at many different institutions and locations. Education and training is typically an important component of these communities, providing a valuable context in which to develop skills and expertise, while also strengthening links and relationships within the community. Scientific communities facilitate: (i) the exchange and development of ideas and expertise; (ii) career development; (iii) coordinated funding activities; (iv) interactions and engagement with professionals from other fields; and (v) other activities beneficial to individual participants, communities, and the scientific field as a whole. It is thus beneficial at many different levels to understand the general features of successful, high-impact bioinformatics communities; how individual participants can contribute to the success of these communities; and the role of education and training within these communities. We present here a quick guide to building and maintaining a successful, high-impact bioinformatics community, along with an overview of the general benefits of participating in such communities. This article grew out of contributions made by organizers, presenters, panelists, and other participants of the ISMB/ECCB 2013 workshop “The ‘How To Guide’ for Establishing a Successful Bioinformatics Network” at the 21st Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and the 12th European Conference on Computational Biology (ECCB).


F1000Research | 2017

Developing a strategy for computational lab skills training through Software and Data Carpentry: Experiences from the ELIXIR Pilot action

Aleksandra Pawlik; Celia W. G. van Gelder; Aleksandra Nenadic; Patricia M. Palagi; Eija Korpelainen; Philip Lijnzaad; Diana Marek; Susanna-Assunta Sansone; John M. Hancock; Carole A. Goble

Quality training in computational skills for life scientists is essential to allow them to deliver robust, reproducible and cutting-edge research. A pan-European bioinformatics programme, ELIXIR, has adopted a well-established and progressive programme of computational lab and data skills training from Software and Data Carpentry, aimed at increasing the number of skilled life scientists and building a sustainable training community in this field. This article describes the Pilot action, which introduced the Carpentry training model to the ELIXIR community.


trust and trustworthy computing | 2014

Software in reproducible research: advice and best practice collected from experiences at the collaborations workshop

Shoaib Sufi; Neil Chue Hong; Simon Hettrick; Mario Antonioletti; Stephen Crouch; Devasena Inupakutika; Mike Jackson; Aleksandra Pawlik; Giacomo Peru; John Robinson; Les Carr; David De Roure; Carole A. Goble; Mark Parsons


Archive | 2014

UK Research Software Survey 2014

Neil Chue Hong; Iain Emsley; Mark Parsons; Giacomo Peru; Shoaib Sufi; Simon Hettrick; Mike Jackson; Tim Parkinson; Stephen Crouch; Mario Antonioletti; Arno Proeme; Devasena Inupakutika; Les Carr; Aleksandra Nenadic; John Robinson; Carole A. Goble; David De Roure; Aleksandra Pawlik


Computing in Science and Engineering | 2015

Crowdsourcing Scientific Software Documentation: A Case Study of the NumPy Documentation Project

Aleksandra Pawlik; Judith Segal; Helen Sharp; Marian Petre


cooperative and human aspects of software engineering | 2012

Documentation practices in scientific software development

Aleksandra Pawlik; Judith Segal; Marian Petre


Archive | 2012

Science and the Internet

Alexander Tokar; Michael Beurskens; Susanne Keuneke; Merja Mahrt; Isabella Peters; Cornelius Puschmann; Timo van Treeck; Katrin Weller; Alexander Gerber; Hans Bauer; Gabriel Schui; Günter Krampen; Selva Ersöz Karakulakoğlu; Övünç Meriç; Maria Cristina Guardado; Maria Manuel Borges; Isa Jahnke; Claudia Bremer; Sandra Hofhues; Christian Geier; Lena Grießhammer; Gabriel Gomez; Deborah E. Keil; Kenning Arlitsch; Axel Bruns; Jean Burgess; Hadas Shema; Judit Bar-Ilan; Mike Thelwall; Ulrich “Tibaut” Houzanme


Archive | 2012

Developing Scientific Software: The Role of the Internet

Aleksandra Pawlik; Judith Segal; Helen Sharp; Marian Petre

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Mike Jackson

University of Nottingham

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Shoaib Sufi

University of Manchester

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Simon Hettrick

University of Southampton

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Giacomo Peru

University of Edinburgh

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John Robinson

University of Southampton

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Les Carr

University of Southampton

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