Transferable Skills: Research Data Management

Code:

GDI001

Acronym:

GDI

Keywords
Classification	Keyword
CNAEF	Informatics

Instance: 2023/2024 - 1S (of 01-09-2023 to 28-02-2024)

Active?	Yes
Web Page:	https://moodle.up.pt/course/view.php?id=1719
Responsible unit:	Department of Informatics Engineering
Course/CS Responsible:	Transferable Skills: Research Data Management

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
CTGDI	2	Syllabus	1	-	1,5	14	40,5
PDEEC	7	Syllabus	1	-	1,5	14	40,5
PDQUI	0	PE_Doctoral Degree Program in Chemistry	1	-	1,5	14	40,5

Teaching language

Portuguese and english

Objectives

• Identify funder requirements for sharing research data;


• Understand the FAIR principles for data management: findability; accessibility; interoperability; reusability;


• Obtain an integrated view of the entire data lifecycle in a research project;


• Develop a Data Management Plan.

Learning outcomes and competences

This course aims to enable participants to develop research data management skills, which support the development of Data Management Plans.

Learning outcomes:

• Planning and scheduling management activities appropriate to the different phases of the research data life cycle;


• Application of best practices for documenting and publishing data in accordance with FAIR principles;


• Identification of resources available to support activities related to research data management;


• Identification of key privacy and ethical issues in relation to investigation data.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Program

• Introduction to Research Data Management:


• FAIR Principles and the Data Management Plan;


• Typology and life cycle of research data;


• FAIR data: data documentation, metadata models;


• FAIR data: data publishing, repositories and services;


• Resource allocation and data organization: resources and strategies;


• Privacy and ethics issues;


• Presentation of Data Management Plans developed by students

Mandatory literature

European Commission ; Guidelines on FAIR Data Management in Horizon 2020, 2016
European Commission; Turning FAIR into reality. Final Report and Action Plan from the European Commission Expert Group on FAIR Data., 2018
RDA FAIRSharing Registry: connecting data policies, standards & databases WG ; FAIRsharing: standards, databases, repositories and policies – Final Recommendation, 2018 (doi: 10.15497/RDA00030)
RDA Metadata standards directory Working Group ; Metadata Standards Directory WG Recommendations, 2016 (http://rd-alliance.github.io/metadata-directory/)
RDA /WDS Publishing Data Workflows WK Recommendations ; Workflows for Research Data Publishing: Models and Key Components., 2016 (doi: 10.15497/RDA00004)
Sarah Higgins ; The DCC Curation Lifecycle Model, 2008 (International Journal of Digital Curation)
William Michener ; Ten simple rules for creating a good Data Management Plan, Plos Computational Biology, 2015 (doi:10.1371/journal.pcbi1004525)

Teaching methods and learning activities

In this context, it is proposed an interaction of 14 hours of contact, in a total of 40.5 hours.Classes will be theoretical-practical, in which students develop practical work related to the component in question, building the Data Management Plan incrementally throughout the training. In the last session, students present the DMP for evaluation purposes.This TC supposes a substantial work of autonomous study, for the study and analysis of cases of data management plans and for the construction of a plan to be discussed and presented in a class session. We estimate these at about 1/3 of the hours with the rest of the work being done autonomously, as is expected at the level of students to be admitted.

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Apresentação/discussão de um trabalho científico	25,00
Trabalho escrito	75,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	28,50
Frequência das aulas	12,00
Total:	40,50

Eligibility for exams

active participation in face-to-face activities

Calculation formula of final grade

75% DMP report + 25% oral presentation