|DIY Research Data Management Training Kit for Librarians||
Training kit for librarians who wish to gain confidence and understanding of research data management, based on open educational materials, covering five topics:
The kit uses the Research Data Mantra online course and selected exercises from the UK Data Archive. It further contains a training schedule, podcasts for short talks, presentation slides, evaluation forms, data curation profiles and reflective writing questions based on the experience of academic librarians who have taken the course.
Data Curation Profiles provide a complete framework for interviewing a researcher in any discipline about their research data and their data management practices.
|Linking Twitter & Survey Data||
The workshop will cover the ethical and operational issues associated with linking Twitter and survey data. We will begin by thinking about what new and exciting opportunities this new form of linked data provides. We will then move on to the challenges associated with designing, collecting, analyzing, publishing and sharing this type of linked data. Drawing on recent experiences of three UK studies (British Social Attitudes 2015, the Understanding Society Innovation Panel 2017 (IP10) and the NatCen Panel July 2017) we will explore issues around informed consent, disclosure, security and archiving. The workshop will be interactive with a focus on participant engagement and dialogue.
|Applied Data Visualization||
The workshop Applied Data Visualization introduces students to the theory and methods underlying data visualization. Data analysts face an ever-increasing amount of data (→ big data) and rather revolutionary technological developments allow researchers to visually engage with data in unprecedented ways. Hence, data visualization is one of the most exciting fields in data science right now. In this workshop students acquire the skills to visualize data in R both for exploratory purposes as well as for the purpose of explanation/presentation. We'll rely on R, the most-popular statistical programming environment when it comes to visualization and we'll make use of popular R packages such as ggplot2 and plotly. Besides creating static graphs we'll also have a look at interactive graphs and discuss how interactive visualization may revolutionize how we present data & findings.
|Data Management, Advanced Programming and Automation using Stata||
During the workshop, participants will learn how to efficiently handle problems of data management with Stata, and how to avoid repetition by automating (and programming) tasks. The workshop is not an introduction to Stata, but will feature "best practice" of Stata usage in order to modify existing do-files (or create new ones) to be reproducible, maintainable and efficient. The tips and tricks will refer mainly to data preparation and management, but they can also be used or automation of data analysis. The workshop will present some ideas about these topics, but focus on the interactive work where participants shall learn producing efficient Stata syntax by themselves.
|UKDS training workshops, events and webinars||
Training workshops, webinars and events on various data managemnet topics organised by the UK Data Service.
Slides of all events are made available on the past events pages. Recordings of webinars are made available on the UKDS YouTube channel. All can be used for training activities,.
|Essentials 4 Data Support||
Essentials 4 Data Support is an introductory course for those people who (want to) support researchers in storing, managing, archiving and sharing their research data.
Essentials 4 Data Support is a product of Research Data Netherlands.
At GESIS we offer a wide range of events, especially training courses on empirical social research methods. Our theory founded and hands-on courses develop participants’ methods skills and are aimed at both early career and senior researchers from Germany, Europe, and the whole world.
Data Archiving and Netwrked Seorvices (DANS) is the Netherlands institute for permanent access to digital research resources.
Since 2005, DANS has been supporting researchers, data professionals, other data archives, research institutions and research financiers with questions in the field of data management, certification and topics such as FAIR, open access and software sustainability.
In addition to data services, DANS also offers training and consultancy.
Do you want to know more about depositing, sharing and reusing data? Or, for example, about research data management, digital sustainability, certification, FAIR, open access or software sustainability?
The expertise built up in national and European projects is reflected in the training courses and advice provided by DANS, intended for researchers, research institutions, research funders, data professionals and other archives. Examples can be found on the DANS Training site.
|UK Data Service: Manage Data||
Online data management guidance and resources for researchers, developed by the UK Data Service. This resource provides best practice guidance and advice, including examples, exercises, tools and templates. The focus is on the social sciences and research with human participants. Particular areas covered are:
|FOSTER Open Sciences: Courses||
FOSTER Plus (Fostering the practical implementation of Open Science in Horizon 2020 and beyond) is a 2-year, EU-funded project, carried out by 11 partners across 6 countries. The primary aim is to contribute to a real and lasting shift in the behaviour of European researchers to ensure that Open Science (OS) becomes the norm.
The FOSTER portal is an e-learning platform that brings together the best training resources addressed to those who need to know more about Open Science, or need to develop strategies and skills for implementing Open Science practices in their daily workflows. Here you will find a growing collection of training materials. Many different users - from early-career researchers, to data managers, librarians, research administrators, and graduate schools - can benefit from the portal. In order to meet their needs, the existing materials will be extended from basic to more advanced-level resources. In addition, discipline-specific resources will be created.