FAIR Data Principles

  • Manage, Improve and Open Up your Research and Data

    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:  http://www.parthenos-project.eu/about-the-project-2.  Other training modules created by PARTHENOS can be found at:  http://training.parthenos-project.eu/training-modules/.

  • Introduction to Collaboration in Research Infrastructures

    Is humanities research collaborative?  Some would say that with our traditions of independent research and single authorship, it is not. This is not really true for any humanist, however, as collaboration does occur within classrooms, on-line communities, and within disciplinary networks.  For the digital humanities, this is even more the case, as the hybridity of our methods require us to work together.  Very few digital humanists can master entirely on their own the domain, information and software challenges their approach presents, and so we tend to work together.

    This training module provides an introduction to research infrastructures targeted to the Advanced Level, and as such, presents some of the exciting new research directions coming out of the PARTHENOS Cluster.  These modules approach some of the theoretical issues that shape the design, delivery and indeed the success of research infrastructure developments, challenging us to think about how we develop and support humanities at scale in the interaction with technology.

    By the end of this module, you should be able to….

    • Understand what is meant by collaboration in humanities research
    • Be aware of how this model impacts upon the development of digital humanities, and digital humanities research infrastructures

    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:  http://www.parthenos-project.eu/about-the-project-2.  Other training modules created by PARTHENOS can be found at:  http://training.parthenos-project.eu/training-modules/.

  • Introduction, FAIR Principles and Management Plans

    This presentation introducing the FAIR (Findable Accessible Interoperable Re-usable) data principles and management plans is one of 9 webinars on topics related to FAIR Data and Software that was offered at a Carpentries-based Workshop in Hannover, Germany, Jul 9-13 2018.  Presentation slides are also available in addition to the recorded presentation.

    Other topics included in the series include:
    - Findability of Research Data and Software through PIDs and FAIR
    - Accessibility through Git, Python Funcations and Their Documentation
    - Interoperability through Python Modules, Unit-Testing and Continuous Integration
    - Reusability through Community Standards, Tidy Data Formats and R Functions, their Documentation, Packaging, and Unit-Testing
    - Reusability:  Data Licensing
    - Reusability:  Software Licensing
    - Reusability:  Software Publication
    - FAIR Data and Software - Summary

    URL locations for the other modules in the webinar can be found at the URL above.
     

  • OntoSoft Tutorial: A distributed semantic registry for scientific software

    An overview of the OntoSoft project, an intelligent system to assist scientists in making their software more discoverable and reusable.

    For more information on the OntoSoft project, go to ​https://imcr.ontosoft.org/.

  • Developing Data Management Education, Support, and Training

    These presentations were part of an invited guest lecture on data management for CISE graduates students of the CAP5108: Research Methods for Human-centered Computing course at the University of Florida (UF) on April 12, 2018. Graduate students were introduced to the DCC Checklist for a Data Management Plan, OAIS Model (cessda adaptation), ORCiD, IR, high-performance computing (HPC) storage options at UF, data lifecycle models (USGS and UNSW), data publication guides (Beckles, 2018) and reproducibility guidelines (ACM SIGMOD 2017/2018). This was the first guest lecture on data management for UF computer & information science & engineering (CISE) graduate students in CAP 5108: Research Methods for Human-centered Computing - https://www.cise.ufl.edu/class/cap5108sp18/.  A draft of a reproducibility template is provided in version 3 of the guest lecture.  

  • Access Policies and Usage Regulations: Licenses

    The webinar about licensing and policy will look into why it is important that research data are provided with licenses.

    Content:

    • Benefits of sharing research data
    • Challenges
    • Types of licenses
    • Data ownership and reuse
    • Using creative commons in archiving research data

    Objectives:
    During the workshop, participants will acquire a basic knowledge of data licensing.