RDMG19

Research Data Management

Downloadable poster in PDF

   IMPORTANT DATES for this Course
   Deadline for applications: April 26th 2019
   Course date: April 29th - April 30th 2019

Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants.

Instructors:

Rutger A. Vos studied biology at the University of Amsterdam, where he graduated in 2000. He then embarked on his PhD research under professor Arne Mooers at Simon Fraser University in Vancouver, Canada, where he defended his thesis on phyloinformatic problems in 2006. As a self-taught programmer he then became involved in several open-source scientific software development projects while continuing his research career through a postdoctoral fellowship at the University of British Columbia (Vancouver, Canada) and a Marie Curie research fellowship at the University of Reading (Reading, UK). In Spring of 2012 he commenced his employment as the bioinformaticist of the Naturalis Biodiversity Center in a role where he combines novel research with bioinformatics contributions to various research programmes within the organization. In his spare time he also contributes to various open source software projects (TreeBASE, Bio::Phylo, NeXML) and is co-PI of the PhyloTastic project. In addition Rutger has taught bioinformatics workshops in the US, Japan, China, Kenya and four times before at GTPB courses PHYLOINF09, ARANGS12, ARANGS13, ARANGS15, ARANGS16. Together with Pedro Fernandes, they published "Open Science, Open Data, Open Source", an entry level guide that is available as a free e-book.

Affiliations: Naturalis, Leiden, NL

Pedro L. Fernandes graduated in Electronics and Telecommunications Engineering at IST (U.T. Lisboa). He worked in Biomedical Engineering, Biophysics and Physiology and changed to Bioinformatics in 1990. He established the first user community in Portugal around the national service provided by the IGC as the portuguese node of EMBnet. In 1998 he created the Gulbenkian Training Programme in Bioinformatics, that provided user skills to more than 5150 course attendees throughout its nineteen years of existance. In 2002, in cooperation with Mario Silva from FCUL, he designed a graduate Programme in Bioinformatics. He currently teaches Bioinformatics both in graduate and undergraduate programmes. Pedro Fernandes is the Training Coordinator of Elixir-PT, now superimposed with Biodata.PT, the national infrastructure for bio-medical data resources. He also represents IGC in GOBLET, the Global Organisation for Bioinformatics Learning, Education and Training. Pedro is active in the cause for Open Science. Together with Rutger Vos, they published "Open Science, Open Data, Open Source", an entry level guide that is available as a free e-book.

Affiliation: Instituto Gulbenkian de Ciência, Oeiras, PT

Course description

Scientific research is increasingly collaborative, international, and digital. These developments provide positive impetus for developing good practices in research data management: the 'carrot'. At the same time, the requirements of funding agencies, calls for reproducibility, and bad behavior, intentional or otherwise, are the 'stick' that also drives researchers towards accountable and transparent data management. Recent years have seen a great deal of communication about what data management practices should aspire to in the abstract, but practical guidelines are less well developed. In this two days course we present the GitHub platform as a useful tool for file and project management as a single user, and for distributed collaboration all the way to publishing the project outcomes.
Nowadays, well managed research data is Findable, Accessible, Interoperable and Reusable (FAIR). The participants will understand what needs to be done to their datasets to comply with FAIR principles, and how it fits with Data Management Plans (DMP), a common requirement of publicly funded research projects.

Course Pre-requisites

Basic computer operation skills (files, folders, access to resources on the Internet).

Application

Detailed Program

Instituto Gulbenkian de Ciência,

Apartado 14, 2781-901 Oeiras, Portugal

GTPB Homepage

IGC Homepage

Last updated:April 18th 2019