Manage, Improve and Open Up your Research and Data

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

This module will look at emerging trends and best practice in data management, quality assessment and IPR issues.

We will look at policies regarding data management and their implementation, particularly in the framework of a Research Infrastructure.
By the end of this module, you should be able to:

  • Understand and describe the FAIR Principles and what they are used for
  • Understand and describe what a Data Management Plan is, and how they are used
  • Understand and explain what Open Data, Open Access and Open Science means for researchers
  • Describe best practices around data management
  • Understand and explain how Research Infrastructures interact with and inform policy on issues around data management

PARTHENOS training provides modules and resources in digital humanities and research infrastructures with the goal of strengthening the cohesion of research in the broad sector of Linguistic Studies, Humanities, Cultural Heritage, History, Archaeology and related fields.  Activities designed to meet this goal will address and provide common solutions to the definition and implementation of joint policies and solutions for the humanities and linguistic data lifecycle, taking into account the specific needs of the sector including the provision of joint training activities and modules on topics related to understanding research infrastructures and mangaging, improving and openin up research and data for both learners and trainers.

More information about the PARTHENOS project can be found at:  Other training modules created by PARTHENOS can be found at:

Authoring Organization(s) Name: 
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution-NonCommercial 4.0 International - CC BY-NC 4.0
Access Cost: 
No fee
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: 
Accessible data - FAIR Data Principle
Archaeology data
Cultural heritage data
Data curation
Data management
Digital humanities
Digital scholarship
Findable data - FAIR Data Principle
Historical data
Interoperable data - FAIR Data Principle
Linguistic data
Re-usable data - FAIR Data Principle
Research infrastructures
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Arts and Humanities
Arts and Humanities: Digital Humanities
Arts and Humanities: History
Arts and Humanities: History of Art, Architecture, and Archaeology
Social and Behavioral Sciences: Linguistics
Published / Broadcast: 
Tuesday, January 1, 2019
Publisher - organization credited with publishing or broadcasting the learning resource: 
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.
Contact Organization(s): 
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: 
Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Data policymaker
Data professional
Early-career research scientist
Graduate student
Mid-career research scientist
Repository manager
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
Framework Node: FAIR: