Data Management is a set of practices and techniques used by researchers to ensure that their data is organised, structured and easily reusable for future research
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.
This training event from the TRIPLE Project was devoted specifically to the Open Access publishing platform Open Research Europe (ORE) and provided technical details on how ORE works and what benefits it has for researchers.
Hosted by King’s Digital Lab (KDL) at King’s College London, the workshop introduced participants to best practices in project management, the Agile Dynamic System Development Methods (DSDM) as well as various theoretical and practical approaches to digital cultural heritage.
The DESIR Winter School provided a unique opportunity to learn about how to maximize the potential of scholarly resources and to take practical steps in opening up research in ethically and legally responsible ways.
What are the big challenges and opportunities for data-intensive research over the next ten years? This panel discusses digital transformations in the humanities and arts, data ethics and sovereignty, and infrastructure with impact. It features presentations by Dr James Rose (Indigenous Studies Unit, Melbourne School of Population and Global Health) on Data Sovereignty in a Colonial Context: Towards an Integrated National Governance Framework for Australia, Dr James Smithies (Director, King’s Digital Lab) on Integrating DH into the longue durée: Research Laboratories, History, Methods.
Data as a term is too flat an ontology for the kinds of things that we are all dealing with, argues Sally Wyatt in this keynote lecture. It reduces people, events, objects to things, bits, to be imagined as impersonal, scientific and neutral. Also, she contends, the use of the word 'data' tends to assume that everything is digital. In this keynote, she explains her argument that this is wrong and asks: 'what are we talking about when we talk about data in the humanities?'
Many academic disciplines use data science to analyze contemporary culture. The question posed by Lev Manovich in this lecture is: shall we continue to aggregate big cultural data and reduce it to a small set of patterns? Or shall we refuse this dominant paradigm instead and focus on diversity, variability and differences (including tiny ones), i.e., work on big cultural data without aggregation and with attention to what is infrequent and outliers?
In this lecture, Roxanne Wyns discusses her experiences with research infrastructures and, specifically, the challenges we face concerning sustainability.
Mikko Tolonen was the first keynote speaker at the DARIAH Annual Event 2016. His talk was entitled 'Applying modern data analytics to classical questions in the humanities: a perspective from Finland'. It drew attention to the benefits of interdisciplinarity and effective communication between 'centred' disciplines for research in the digital humanities
In this lecture, Mark Cote takes us on a journey through a host of research projects that contextualise the way that he and other researchers try to address cultural data.
The DARIAH Winter School 'Open Data Citation for Social Sciences and Humanities' brought together researchers, professionals with various backgrounds, and students from 15 countries. In total 38 people met in Prague, Czech Republic, to learn about various aspects of open access and open data, as well as many other subjects on digital research.
This DARIAH Guide brings together tools, videos, short articles and other training materials that might be relevant when reflecting on your data management processes both in the immediate context of your research and in their broader disciplinary context. Its aim is to equip you with tools and practical advice, but more importantly, with conceptual twists that will help you to establish ethically committed, optimal and as open as possible research and data management workflows.
