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The lessons introduce terms, phrases, and concepts in software development and data science, how to best work with data structures, and use regular expressions in finding and matching data. We introduce the Unix-style command line interface, and teach basic shell navigation, as well as the use of loops and pipes for linking shell commands. We also introduce grep for searching and subsetting data across files. Exercises cover the counting and mining of data. In addition, we cover working with OpenRefine to transform and clean data, and the benefits of working collaboratively via Git/GitHub and using version control to track your work.

This workshop is co-developed with the National Ecological Observatory Network (NEON). It focuses on working with geospatial data - managing and understanding spatial data formats, understanding coordinate reference systems, and working with raster and vector data in R for analysis and visualization.

This workshop uses a tabular interview dataset from the SAFI Teaching Database and teaches data cleaning, management, analysis and visualization. There are no pre-requisites, and the materials assume no prior knowledge about the tools. We use a single dataset throughout the workshop to model the data management and analysis workflow that a researcher would use.

The article summarises and critiques various training provisions around best practices in Research Data Management. The article, which is openly available on DARIAH-Campus, deals with issues such as what is data in the humanities, what are the benefits of research data management, what are your options when it comes to sharing your data, leading to a recipe for Data Management Planning of your research project.

A dynamic map of university courses that deal with CLARIN content.

The corpora linguistics research group at the Institute of Western and Southern Slavic Studies (University of Warsaw) has recently started a project collecting Slavic corpora terminology with definitions so as to be able to investigate this type of lexica.

The collected data will be stored in the form of a TEI encoded dictionary. There are already started works on Polish, Czech, Bulgarian, Slovene and Slovak terms and in the near future we will add at least Serbian, Croatian and Russian as well. There will be also provided translations into English but only within the entries as equivalents for future comparative studies.

The code for the JOSS submission tool

The repository of online research papers published in the Journal of Open Source Education.

In this moderated course you will learn how to reuse the FOSTER toolkit on any other context like the website or the Learning Management System (LMS) of your institution.

The Open Science Toolkit https://www.fosteropenscience.eu/toolkit consists of ten online courses addressing key Open Science topics: What is Open Science?; Best practices; Managing and Sharing Research Data; Open source software and workflows; Data protection and Ethics; Open Licensing; Open access publishing; Sharing preprints; Open peer review; and Open Science and innovation.

This moderated course is available in the FOSTER Learning Management System platform.

Library Carpentry workshops teach people working in library- and information-related roles how to:

• Cut through the jargon terms and phrases of software development and data science and apply concepts from these fields in library tasks;
• Identify and use best practices in data structures;
• Learn how to programmatically transform and map data from one form to another;
• Work effectively with researchers, IT, and systems colleagues;
• Automate repetitive, error prone tasks.