POLITEHINCA Bucharest

Open Research Data and Materials

Open Research Data and Materials Contact person Dr.ing. Catalin Negru, catalin.negru@upb.ro  Course description Research data are defined as factual records (numbers, texts, images and sounds), which are used as principal sources for scientific research and which are often recognized by the scientific community as being necessary to validate research results ( Organization for Economic Cooperation and Development). Putting your code and data online can be very revealing and intimidating, and it is part of the human condition to be nervous of being judged by others. Although there is no law governing the communication of reproducible research – unless you commit explicit fraud in your work – sharing errors that you find in your work is heavily disincentivised. The course aims to teach the following topics: Research data in an array of contexts Data management concepts: 1.metadata; 2.research data lifecycle.  Concept of data management: 1. identify the roles and responsibilities of key stakeholders; 2. examine various data management tasks throughout the research data lifecycle. Learning objectives Understand what is research data and data management concepts; Learn how to identify the roles and responsibilities of key stakeholders; Examine various data management tasks throughout the research data lifecycle. Course duration and period 2 hours each term Format Online (via Moodle) Prerequisites None Course Link https://learning.crescdi.pub.ro/course/view.php?id=44 Deadline for registration Within five days after the event announcement date is announced. Who Should Attend Students & Early career researchers

Open Research Data and Materials Read More »

Open Science – Open Access

Open Science – Open Access Contact person Dana Gheorghe, dana.gheorghe@upb.ro  Course description Open Science is an inclusive construct that combines various movements and practices aiming to make multilingual scientific knowledge openly available, accessible, and reusable for everyone, to increase scientific collaborations and sharing of information for the benefits of science and society, and to open the processes of scientific knowledge creation, evaluation, and communication to societal actors beyond the traditional scientific community’ (UNESCO, 2021, p. 7) This course aims to present: What is Open Science? Open Science Taxonomy Open Access vs Open Research Creative Commons License Repositories and Self-archiving Open access publishing Types of Open Access Learning objectives Understand the  Open Science concepts such as Open Access, Open Research, Creative Commons License; Learn how to use repositories and self-archiving; Understand types of Open Access publishing. Course duration and period 2 hours each term Format Online (via Moodle) Prerequisites None Course Link https://learning.crescdi.pub.ro/course/view.php?id=47#section-1 Deadline for registration Within five days after the event announcement date is announced. Who Should Attend Students & Early career researchers

Open Science – Open Access Read More »

Reproducible Research and Data Analysis

Reproducible Research and Data Analysis Contact person Prof.dr.ing. Ciprian Dobre, ciprian.dobre@upb.ro  Course description Replication is fundamental in science, but only a small number of scientific studies can be replicated → the replication crisis many attempted replications of well-known scientific studies have failed (in many different areas) rates of paper retractions from top journals and conferences are increasing. Replication with new independent data is expensive or methodologically impossible → we need reproducible research to assess the validity of scientific results. Research is reproducible when we can reproduce the results of a scientific study with the original data, code, and documentation. This course aims to teach the following topics: Strategies for organizing research data such as versioning,  file naming conventions and data file formatting and transformations Why documenting data and data citation are important. Issues involved in storing, securing, and backing up research data   Learning objectives Learn strategies for organizing research data;  Understand importance of documenting data and data citation;  Acknowledge the issues related to storing, securing, and backing up research data. Course duration and period 2 hours each term Format Online (via Moodle) Prerequisites None Course Link https://learning.crescdi.pub.ro/course/view.php?id=46 Deadline for registration Within five days after the event announcement date is announced. Who Should Attend Students & Early career researchers

Reproducible Research and Data Analysis Read More »