advance, open access infrastructure, open science, research information, open data, scientific publication, scientific information system, European Commission, EC, FP7, ERC, Horizon 2020, H2020, open linked data, open software, research data management, RDM, European Open Science Cloud, EOSC
This recommendation describes the curriculum and example materials to give Early Career Researchers (ECR’s) the foundational skills in Data Science to work with their data. This curriculum combines technical skills, such as Software Carpentry with responsible research practices such as Open and Responsible Research. This curriculum is composed of: a set of curriculum specifications for the modules run in this curriculum, an example timetable for a 10-day intensive training event, a diagram to show how these modules are connected, a spreadsheet of links to example materials that implements this, metadata for the submission, an impact statement, a document discussing the maintenance plan of the materials. The purpose of this curriculum is to be deliberately broad and shallow to be delivered over approximately 70 contact hours. It could also form the basis for a much deeper programme which will not be explored further. In 2016 we ran one school in Trieste, Italy. In 2017 we ran two, Trieste and São Paulo, Brazil. In 2018 we ran three, Trieste, São Paulo and Kigali, Rwanda. In 2019 we will run four schools (Addis Ababa, Ethiopia, Trieste, Abuja, Nigeria and San José in Costa Rica). At the end of this year approximately 400 students will have been taught on four continents using the curriculum developed here. Note: The submission package is available at http://doi.org/10.5281/zenodo.3478590
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List of Verbs! Learn useful list of 700+ common verbs in English with example sentences and ESL printable worksheets. Learn verbs list with different types classified by their grammatical functions.
B. Schembera, and D. Iglezakis. Metadata and Semantic Research. 12th International Conference, MTSR 2018, Limassol, Cyprus, 23-26 October 2018, Proceedings, Springer, (forthcoming)
S. Drößler. Kalibrierung der Wissenschaft. Auswirkungen der Digitalisierung auf die wissenschaftliche Erkenntnis, transcript, Bielefeld, 1. Auflage edition, Wie wird Wissen aus den Weiten des digitalen Raums herausgefiltert? Wie wird es generiert und evaluiert? Was wird als Wissen verfügbar gemacht - und was nicht? Die Beiträger*innen des Bandes widmen sich diesen Fragen und untersuchen die Auswirkungen der zunehmenden Digitalisierung auf die Erzeugung, Auswahl und Bewertung wissenschaftlicher Erkenntnis unter den Aspekten der Datafizierung, Publizierung und Metrisierung. Sie bringen Expertisen aus der Philosophie, Informatik, Informations- und Bibliothekswissenschaft ein und reflektieren in kritischer und konstruktiver Weise die Gestaltung und Folgen der digitalisierten Wissenschaftspraxis..(2022)
F. Beck, S. Koch, and D. Weiskopf. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 22 (1):
180-189(January 2016)10th IEEE Conference on Visual Analytics Science and Technology (VAST) /
IEEE VIS Conference, Chicago, IL, OCT 25-30, 2015.
T. Blascheck, M. John, K. Kurzhals, S. Koch, and T. Ertl. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 22 (1):
61-70(January 2016)10th IEEE Conference on Visual Analytics Science and Technology (VAST) /
IEEE VIS Conference, Chicago, IL, OCT 25-30, 2015.