In the arts and humanities, digital data production is still expensive, challenging and time-consuming. We all know this, and yet the results of these processes often in the end can’t be reused by other researchers, meaning that we reinvent (or redigitise) the wheel far too often. This resource is aimed at giving practical advice for arts and humanities scholars who are willing to take their first steps in research data management but don't know where to begin. Our approach to data management views it as a reflective process that exposes and tweaks existing behaviours, rather than one that introduces specific tools. It is intended to encourage awareness of one’s own processes and mindfulness about how they could be more open and how and how...
The author reflects on the attitudes of scholars in the humanities and social sciences to digitaliza...
Writing a good data management plan is an integral part of successful open social science practice a...
While stakeholders including funding agencies and academic publishers implement more stringent data ...
Most humanists would agree that sharing knowledge with other researchers is a cornerstone of academi...
"Data management and curation are important processes for digital humanists: without proper planning...
Open data offer the opportunity to economically combine data into large-scale datasets, fostering co...
Researchers in cultural studies disciplines and cultural institutions are increasingly confronted wi...
Digital humanities (DH) research benefits from the integration of social and scientific research met...
While stakeholders including funding agencies and academic publishers implement more stringent data ...
Researchers of today are witnessing a digital and data driven transformation changing the way resear...
Traditionally, humanities scholars have resisted describing their raw material as “data.” Instead, ...
The humanities today use digital tools for their research projects. This training is an opportunity ...
The development of digital humanities during the past twenty years has increased the availability of...
This dissertation describes the interviews we conducted in late 2021 with 1 representative for each ...
Slides from WORKSHOP - Introduction to Humanities Research Data Management (Part 1 Theory, Ulrike Wu...
The author reflects on the attitudes of scholars in the humanities and social sciences to digitaliza...
Writing a good data management plan is an integral part of successful open social science practice a...
While stakeholders including funding agencies and academic publishers implement more stringent data ...
Most humanists would agree that sharing knowledge with other researchers is a cornerstone of academi...
"Data management and curation are important processes for digital humanists: without proper planning...
Open data offer the opportunity to economically combine data into large-scale datasets, fostering co...
Researchers in cultural studies disciplines and cultural institutions are increasingly confronted wi...
Digital humanities (DH) research benefits from the integration of social and scientific research met...
While stakeholders including funding agencies and academic publishers implement more stringent data ...
Researchers of today are witnessing a digital and data driven transformation changing the way resear...
Traditionally, humanities scholars have resisted describing their raw material as “data.” Instead, ...
The humanities today use digital tools for their research projects. This training is an opportunity ...
The development of digital humanities during the past twenty years has increased the availability of...
This dissertation describes the interviews we conducted in late 2021 with 1 representative for each ...
Slides from WORKSHOP - Introduction to Humanities Research Data Management (Part 1 Theory, Ulrike Wu...
The author reflects on the attitudes of scholars in the humanities and social sciences to digitaliza...
Writing a good data management plan is an integral part of successful open social science practice a...
While stakeholders including funding agencies and academic publishers implement more stringent data ...