Citizen Science is a method of research that relies on partnership with non-academic experts and enthusiasts in a given discipline to provide, process and/or analyse data
This resource aims to introduce the main aspects of data ethics in the cultural heritage domain. It also examines how data management can be supported to become more ethical, while also addressing topical discourse about data ethics in the sector. The resource also aims to support in critically reflecting on some case studies with evident digital data ethics considerations.
This talk gives an overview over developments in digital cultural heritage in recent decades and explores challenges, and opportunities, in the field. It addresses the importance of open, fair and democratic sharing of cultural data, challenges with sustainability of digital projects and how gaming can be a tool for public engagement.
This training webinar is devoted specifically to getting acquainted with the GoTriple Trust Building System (TBS), a tool that enables SSH researchers to find reliable partners and connect with them through their network.
Social media platforms such as Twitter, Instagram, Reddit, and Facebook can be great places for academics to share their research and reach new audiences. In this video, Dr Bob Nicholson (Edge Hill University, UK) will demonstrate the techniques he uses to share his research on Twitter.
Prof. Dan O'Donnell (University of Lethbridge) discusses the CARE principles, how they sit alongside the FAIR Principles, and how (digital) humanists can apply them in their research. He presents examples from his own research, particularly around studies of historical artefacts in small rural communities in Scotland.
In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH), Victoria Van Hyning explores the possibilities of crowdsourcing as "cultural heritage co-creation" or "commons-based peer production", expanding on the need for further comparative analysis of design and engagement strategies for crowdsourcing projects, their resulting data and possible applications for these data in Machine Learning training sets.
This module looks at the variety of practices within ‘citizen science’, how you as a humanist might get started working with them, what issues you should be wary of along the way and how Research Infrastructures can potentially help you.
This is a record of a webinar dedicated to the phase of the research life cycle “Develop Research Questions”. It dives into details of the topic of developing research questions with RIs, especially on finding, working with and contributing data to RI collections, using Virtual Research Environments, and tools.
