Introduction to Humanities Research Data Management

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

Reusable, machine-readable data are one pillar of Open Science (Open Scholarship). Serving this data
reuse aspect requires from researchers to carefully document their methods and to take good care of
their research data. Due to this paradigm shift, for Humanities and Heritage researchers, activities and
issues around planning, organizing, storing, and sharing data and other research results and products
play an increasing role. Therefore, during two workshop sessions, participants will dive
into a number of topics, technologies, and methods that are connected with
Humanities Research Data Management. The participants will acquire knowledge and skills that will
enable them to draft their own executable research data management plan that will support the
production of reusable, machine-readable data, a key prerequisite for conducting effective and
sustainable projects. Topics that will be covered are theoretical reflections on the role of data within
humanities research and cultural heritage studies, opportunities and challenges of eHumanities and
eResearch, implementing the FAIR principles and relevant standards, and basics of Data Management
Learning outcomes: Participants of this workshop will gain an overview about issues related to
Humanities Research Data Management and learn about relevant tools and information resources.
Through a hands-on session, the participants will be especially equipped and skilled to draft the nucleus
of their own Research Data Management Plan.

Authoring Person(s) Name: 
Ulrike Wuttke (Dr.)
Jochen Klar
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
Ulrike Wuttke. (2018, November). Introduction to Humanities Research Data Management. Zenodo.
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Cultural heritage data
Data management
Data management planning
Data management planning tools
Digital humanities
Humanities data
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Arts and Humanities: Digital Humanities
Arts and Humanities: History
Arts and Humanities: History of Art, Architecture, and Archaeology
Arts and Humanities: Other Languages, Societies, and Cultures
Published / Broadcast: 
Monday, November 19, 2018
ID - identifier that provides the means to locate the learning resource or its citation: 
Type - namespace prefix for the citable locator, if any: 
Publisher - organization credited with publishing or broadcasting the learning resource: 
Version - revision or edition number or date associated with a learning resource: 
Version 1, Nov 19, 2018.
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Collection - a group or set of items that comprise a single learning resource, e.g., a PDF version of a slide presentation, an audio file of the presentation and a textual representation of the oral transcription of the presentation.
Contributor Organization(s): 
Funding and sponsorship
Luxembourg Open Science Forum
Contact Person(s): 
Jochen Klar
Ulrike Wuttke (Dr.)
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.
Target Audience - intended audience for which the learning resource was created: 
Early-career research scientist
Graduate student
Mid-career research scientist
Research faculty
Research scientist
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)
Framework - A community-based organization plan or set of steps for education or training: 
FAIR Data Principles