Research Data Management

Research Data Management

Local: 
Online
Date: 
06/05/2024 to 10/05/2024
Horário: 
18:30 - 21:30
Idioma: 
Portuguese

In a context of digital transformation, research activity is increasingly faced with the need to respond well to data and task management and handling. Several of these demands come from financiers. Therefore, in this course, we intend to provide information on good practices and techniques for handling data that allow the optimization of tasks of this type. In dialogue with a theoretical and conceptual component, different operations will be tested to illustrate 4 fundamental levels in the handling of research data: collection, use, management and storage of data.
For this course, a set of previously tested tools will be recommended and tested, specially selected for carrying out the planned tasks. When selecting these applications or services, preference is given to open source options that do not involve costs for users. After attending the sessions, all participants will have a repository at their disposal to help manage research data in an improved way.

 

Target Audience

The course is aimed at higher education students, teachers, researchers, senior company managers, specialists from different fields (e.g. marketing, market research, human resources, opinion polls, among others), who wish to obtain knowledge of research data management.

 

Tuition

General Public € 195
ICS Community € 120

These prices include the application, enrolment, and attendance fee as well as the fee for a certificate in Portuguese.

Francisco Freitas
ORCID
E-mail

Day 1

1. Understand data and information
1.1. Open Science and Open Data
1.2. FAIR principles
1.3. Document/classify data: metadata, paradata, taxonomies
1.4. Data lifecycle
1.5. Standard formats
1.6. Format data and labeling
1.7. Versioning
1.8. Digitization

Day 2

2. Ethical and legal requirements in data management and licensing
2.1. Good data management practices
2.2. Legal obligations (GDPR, Civil Code, Copyright)
2.3. Data collection and sharing consents
2.4. Data access control
2.5. Establishment of embargo periods
2.6. Cite data

Day 3

3. Plan the collection and management of research data
3.1. Data management checklist
3.2. Organic management and definition of responsibilities
3.3. Establishment of data management plans
3.4. Research data curation

Day 4

4. Data operations
4.1. Managing and editing metadata in batch files
4.2. File conversion
4.3. File version comparison
4.4. Anonymization (quantitative/qualitative)
4.5. Encryption
4.6. Digital signature management
4.7. Backups and redundancies
4.8. Integrity check (i.e. “checksums”)
4.9. Secure data deletion
4.10. File batch management

Day 5

5. Publication and dissemination of research data
5.1. Objectives of data sharing
5.2. Data preparation and archiving (organization)
5.3. Persistent digital identifiers (DOI and ORCID)
5.4. Data licensing
5.5. Technical infrastructure for institutional repositories
5.6. Generalist repositories (e.g. Zenodo, Dryad)
5.7. “Data papers”

Assessment Methodology

The management and monitoring of the course will be done through UL's Moodle platform. All communication will be centralised and completed using this platform to support teaching activities. Support materials will be available in different formats and exercises throughout the course. The course will have a strong training component, using assisted practice. Participants will have the opportunity to present questions relating to their own research projects and/or data in use.
The course will involve a total of 15 contact hours. In total, carrying out the set of planned activities will involve at least 20 hours of work. By completing the activities established for the course, each participant will guarantee a total of 3 ECTS. No summative assessment is foreseen for the course.

Requirements

To attend the course, the candidate must be 18 years of age or over and fit into the defined target audience. If all vacancies are filled, preference will be given to candidates preparing theses or dissertations involving research projects related to the proposed themes. A good command of the English language is recommended to use the supporting bibliography. Internet access required. Advanced knowledge of microcomputers is not required. A list of applications to be installed in advance will be provided.

Applications

Applications until 1 May 2024.

Applications through the ICS FenixEdu platform: https://fenix.ics.ulisboa.pt.
To create a registration, please access https://fenix.ics.ulisboa.pt/accountCreation.
In case you already have a registration, you can recover the access at https://fenix.ics.ulisboa.pt/passwordResetRequest.
In case you already have a student number at ICS, you should use your Campus account credentials. You may recover your access to this account at https://utilizador.ulisboa.pt.

Admission

The School operates with a minimum of 10 participants and a maximum of 30 participants. If all vacancies are filled, preference will be given to candidates preparing theses or dissertations involving research projects related to the proposed methodologies.

Coordinator 
Coordenador Externo 
Francisco Freitas