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[platne_od] => 11.04.2024 00:21:00
[zmeneno_cas] => 11.04.2024 00:21:28.47109
[zmeneno_uzivatel_jmeno] => Jan Kříž
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[intranet_text] => Intranet
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[paticka_budova_a_nadpis] => BUILDING A
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Department of Communications,
Department of Education,
FCT Dean’s Office,
Centre for Information Services
[paticka_budova_b_nadpis] => BUILDING B
[paticka_budova_b_popis] => Department of R&D, Dean’s Offices:
FET,
FFBT,
FCE,
Computer Centre,
Department of International Relations,
Bursar
[paticka_budova_c_nadpis] => BUILDING C
[paticka_budova_c_popis] => Crèche Zkumavka,
General Practitioner,
Department of Economics and Management,
Department of Mathematics
[paticka_budova_1_nadpis] => NATIONAL LIBRARY OF TECHNOLOGY
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[paticka_budova_2_nadpis] => CAFÉ CARBON
[paticka_budova_2_popis] =>
[paticka_adresa] => UCT Prague
Technická 5
166 28 Prague 6 – Dejvice
IČO: 60461373 / VAT: CZ60461373
Czech Post certified digital mail code: sp4j9ch
Copyright: UCT Prague
Information provided by the Department of International Relations and the Department of R&D. Technical support by the Computing Centre.
[paticka_odkaz_mail] => mailto:info@vscht.cz
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[more_info] =>
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[autor] => Author
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[cookie-policy-title] => Cookies settings
[cookie-policy-info] => We value your privacy
This website store cookies which are necessary for the proper function of this website (strictly necessary) in your browser. With your consent, the website will also use and store in your browser other cookies for the purpose of anonymous analysis of website traffic (analytical) and for the personalization of advertising (marketing). You can withdraw or modify your consent at any time by opening the "Cookies settings" menu at the bottom of the website. You provide your consent to UCT Prague for the domain vscht.cz including 3rd level domains. Further information can be found on the Privacy Policy and Cookie Policy pages.
[cookie-policy-necessary] => Necessary
[cookie-policy-necessary-text] => These cookies are necessary for the website to function properly and therefore cannot be disabled.
[cookie-policy-analytics] => Analytical
[cookie-policy-analytics-text] => We use web analytics cookies to anonymously analyse website visits and usage.
[cookie-policy-functional] => Functional
[cookie-policy-functional-text] =>
[cookie-policy-button-accept-all] => Accept all
[cookie-choose-handler] => Custom settings
[cookie-choose-handler-send] => Save custom settings
[cookie-reject-all-handler] => Accept only the necessary
[cookie-policy-button-customize] => Cookies settings
[cookie-policy-marketing] => Marketing
[cookie-policy-marketing-text] => These cookies are used to evaluate advertising campaigns and personalize ads.
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[cely_kalendar] => All events
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[obsah] => What is onboarding?
Onboarding is a key process of integrating new employees into the organisation, thereby enhancing both their professional, social, cultural and organisational integration. As a result, employees feel welcomed as part of the organisation and better prepared for the tasks ahead of them. The sooner the new employee feels welcome and fully informed, the better and quicker they will be able to contribute to the organisation successfully.
Onboarding procedures are common in the private sector but often absent in academic institutions. In particular for newly hired Early Career Researchers (ECR), namely PhD candidates, such procedures will strongly impact both their integration into the organisation and clarification of roles and responsibilities of all stakeholders involved in their programme. In order to maximize their impact, it is therefore important that onboarding procedures are approved and supported by supervisors and Postgraduate offices. While it has been shown that successful onboarding contributes to increased well-being and motivation, many ECRs often feel somewhat lost and poorly supported when entering academia, leading to doubt, insecurity and sometimes even an early abandonment of their research project.
UCT and onboarding
In collaboration with the PRIDE network (Professionals in Doctoral Education), a working group was formed with the aim of drafting a publication on onboarding, focusing for the first time on doctoral candidates and postdocs and their adaptation process at the university.
UCT Prague initially launched an extensive questionnaire to assess awareness of onboarding, whether and how many people have encountered it, and what they would welcome within the academic environment. After evaluating the questionnaire, meetings were held in the private sector with HR professionals. We wanted to verify how onboarding is conducted in private companies and how we can leverage their know-how and experiences in our context.
The collected materials and interviews with HR professionals were used to create an adaptation plan, which was piloted from September 2023 at three institutes of UCT Prague. The resulting adaptation plan, which is part of this page, will serve the needs of UCT Prague supervisors who work with newly hired doctoral candidates. Furthermore, the adaptation plan will be utilized for the PRIDE network publication, serving as a foundation for other European universities.
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[obsah] => Zde se zobrazují boxy (ze složky phd-boxy)
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[nazev] => PhD Double Degree (DD)
[seo_title] => PhD Double Degree (DD)
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[autor_email] =>
[perex] => UCT Prague cooperates with partner universities in Europe on joint doctoral study programmes.
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[obsah] => What is a “Double-Degree” programme?
It is doctoral study programme that is leading to two diplomas from both home university as well as partner university. Student works on one dissertation, the study programmes are fully integrated between collaborating universities and include specialized courses at home university and one interdisciplinary at partner university.
Each successful applicant signs individual contract about doctoral double degree based on his/her particular situation (research area, supervisor’s requirements, home university requirements etc.). The contract is signed between UCT Prague and student’s home university.
Requirements for doctoral double degree contract:
- Student has to agree with two supervisors – one from the home university, one from UCT Prague
- Student has to be accepted by his/her supervisor to PhD studies at UCT Prague
- Student has to be accepted to PhD studies at his/her home university
- UCT Prague and student’s home university have to have a joint double degree study programme (list of offered programmes below)
Contact persons at UCT Prague
First contact (study matter) - Contact person of each double degree study programme.
Second contact (general matter, information about the application proceedings)– Department of International Relations: international@vscht.cz
Finances
In terms of cooperation with partner universities no tuition is required. Students are expected to cover any additional costs themselves.
What are the advantages?
Besides improved employability of graduates, there is emphasis on research activity coupled with a possibility to lead small research groups. The program inherently strengthens professional language knowledge. There are possibilities to gain practical skills thanks to cooperation with partner companies such as Zentiva, Zeva, Contipro, Lonza Biotec or in practically oriented departments of Czech Academy of Sciences, where are practical traineeships available. Last but not least there is excellent support of students, including motivational scholarships.
Double degree programmes offered
There are 8 programmes at 4 faculties
FCT – Faculty of Chemical Technology
FET – Faculty of Environmental Technology
FBT – Faculty of Food and Biochemical Technology
FCE – Faculty of Chemical Engineering
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[platne_od] => 29.06.2023 17:36:00
[zmeneno_cas] => 29.06.2023 17:40:49.98225
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[perex] => The aim of the DocEnhance project is to enhance transferable skills intelligence and integration into existing PhD programmes.
This project addresses the specific challenges in the topic H2020-SwafS-08-2019 “Research innovation needs & skills training in PhD programmes”
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The next round of Data Stewardship will be in the autumn of 2024.
Main goals of this project
- a recommended transferable skills curriculum for PhD programmes
- facilitating business-education partnerships (a new course concept and material)
- an open access career-tracking survey
- These outputs will be provided as Open Educational Resources through an online platform, the DocEnhance Platform. This platform will function as: a comprehensive, user-friendly and equal access point for transferable skills intelligence and training in research education and secondly a community and networking site with non-academic partners. It is designed to live beyond the project lifetime.
- The course on Data stewardship has been developed by the UiT – The Arctic University of Norway in Tromsø renowned for its expertise in research data management. The course was first piloted at the University of Chemistry and Technology, Prague in May and June, 2021 and in the spring of 2022.
Partner Institutions
List of Partner Institutions
Project Work Packages
List of Work Packages
- WP1 Skills investigation and intelligence
- WP2 Course concept and design
- WP3 Implementation of pilot courses
- WP4 Evaluation
- WP5 The DocEnhance Platform
- WP6 Communication, dissemination and exploitation
Three pilot courses on Transferable skills
- Data Stewardship (information at UCT Prague webpage | information at docenhance.eu)
- Career Management & Entrepreneurship
- Supervision
UCT Prague and DocEnhance
UCT Prague was in charge of WP2 Course concept and design and the implementation of Data Stewardship. The aim of WP2 was to optimize the course content and design. Rector of the UCT Prague, prof. Pavel Matějka, was responsible for two deliverables in WP2: Task 2.1 Develop a recommended curriculum for integration of transferable skills in PhD programmes and Task 2.2 Collect and index existing online courses in transferable skills. Both of those deliverables were submitted in June 2022.
Data Stewardship at UCT Prague
UCT Prague had a chance to pilot two rounds of Data Stewardship course in the spring of 2021 and 2022. The first round took place online due to the pandemic of covid 19. The number of 14 participants joint the Data Stewardship course. The next year more participants signed up into the course: 25. After piloting the first loop of courses, feedbacks from all the participants, teachers and organisers were collected. All the electronic materials and supporting information were transferred to one united DocEnhance platform. Also, guidelines for teachers were made in detail.
Next steps
- The implementation of Data Stewardship into regular curriculum at UCT Prague
- Offering this course also to other universities
- Cooperation with the private sector
- Using both deliverables and feedbacks for improving the course structures and doctoral study at UCT Prague
The DocEnhance Data Stewardship course is being introduced in frame of H2020 project SwafS-2018-2020 „Enhancing skills intelligence and integration into existing PhD programmes by providing transferable skills training through an open online platform“ (docenhance.eu)
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The next round of Data Stewardship will be in the autumn of 2024.
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For all inquiries:
- Ms. Mili Losmanová
News - DocEnhance Data Stewardship course in 2023
- The course starts with Module 1 (video lectures from March 1 to April 10, 2023) accessible for the enrolled participants through UCT Moodle. One week is sufficient for a participant to go through all the materials and readings.
- Modules 2 & 3 will take place in person at UCT Prague. See the description of Module 2 and Module 3 at the end of this page.
- The whole course will be in English.
Application
- Application deadline: March 13, 2023
- Enrolment confirmation will be sent out by the end of February, 2023
- Online video lectures of Module 1 for enrolled participants will be available from March 3 to March 31, 2023.
About the course
- See more about Data Stewardship course at docenhance.eu
Feedback from participants
“I acquired some highly interdisciplinary knowledge.“
***
“I must say that I didn’t only learn new topics in the course, but I also enjoyed it and made new friends (most probably lifetime friends) during the grouping sessions. It was a lifetime experience for me.“
***
“The last one The Unipetrol excursion was my favourite among all the modules. It was my first experience in an industry. So I enjoyed each and every moments alot. The only thing I wanted to say on that part is we should have more time to spend there. I really wish to be there for longer time.“
Watch introduction video below (see also description of the course below)
Course description
As research data becomes more openly available in the context of Open Science, data stewardship is a skill in high demand, both within and beyond academia. In this course PhD candidates will undertake the study of data management with the attention of how to put into practice the theoretical and practical skills. Created by experts in the field, it focuses on deepening skills that are sought-after within both the academic and private sector. This brand-new course will walk PhD candidates through all the steps of research data management, from finding relevant data to publishing an own dataset.
Aims of this course
- to introduce PhD candidates to the complexity and significance of data management
- to walk PhD candidates through all the steps of research data management, from finding relevant data to publishing an own dataset
- to help with the PhD thesis, while at the same time to make PhD candidates feel better prepared for a job outside academia after graduation
- to combine practical exercises with theoretical content
Why to apply
- Gain knowledge of handling your research data and master theory and concepts of data management
- Learn how to collect, analyse and manage research data with hands-on digital skills training, and on-site practical assignments in non-academic settings
- Deepen your knowledge of publishing your own data set
- Learn how to avoid spending unnecessary time and effort in other projects collecting similar data
- Experts and excellent lectors will provide you with your new skill
- A great opportunity for your self-development and your future career
Course content
The Data Stewardship course is beneficial mostly for PhD candidates and consists of three parts:
- Module 1 - (online lectures)
- Module 2 - workshops and assignments in local working teams at UCT, Prague
- Module 3 - workshops and regional assignments
Module 1
Module 1 of the DocEnhance Data Stewardship course aims to give PhD candidates a general introduction to the basics of how to handle research data in a PhD thesis. PhD candidates are given the opportunity to watch videos and make assignments in the PhD Hub platform. After successfully completing this online part, you will receive a certificate.
Module 1 overview
1. Introduction
In this section, you will learn about why research data management (RDM) is important for science and society, and why good research data management is beneficial for you as a junior researcher. You will also get an introduction to some basic RDM concepts that are essential to fully benefit from the reminder of this course.
1.1 The importance of research data management
1.2 Transparency and openess: Requirements and expectations
1.3 The research data management life cycle
1.4 The FAIR data principles
1.5 The Data Management plan
2. About research data
In empirical sciences, it is expected that you base your arguments on the analysis of data and not on anecdotal evidence, personal beliefs or guesses (and certainly not on alternative facts). Trained PhD candidates know this, so this section will not dwell on the importance of data in research, but rather on the research data landscape.
2.1 Defining and categorising research data
2.2 The diversity of research data
2.3 Data and the long tail of research
2.4 Big data
2.5 Data protection
2.6 Describing your own research data
3. How to search and cite research data
Before embarking on a new project or study it's advisable to locate any relevant research, in order to make sure that you are making use of the latest information. Under this section you will learn more about how you can find and cite relevant data and use it in your own research.
3.1 Accessing research data
3.2 Data search engines
3.3 Data archives/repositories
3.4 Data citation
4. Research contracts
Understanding your rights and responsibilities is crucial in collaborative projects, and it is advisable to regulate this through research contracts. In this section, you will get an introduction to the fundamental principles of research contract law.
4.1 Research contracts
5. How to structure and document research data
In this section you will learn how to best structure your dataset into files and folders, and what you should keep in mind when giving names to your files and folders. You will also learn how to document a dataset, and why good documentation is vital for the quality and reusability of a dataset.
5.1 Electronic lab notebooks (ELN)
5.2 Organizing a data set
5.3 The Readme-file
5.4 Preferred file formats
5.5 DANS list of file formats
6. How to store research data
Power outage, hardware or software problems, USB keys gone missing. We have all at some point experienced just how frustrating that may be. In this session you'll learn more about how to avoid loss of data and how the nature of the data you are working with has implications for how they can be stored.
6.1 How to store research data
7. How to visualise research data
Visualisation of your data may be crucial in order to communicate the information that your data holds. In this section you will learn the basics of good visualisation of your data, you will learn of different plot types, and also of useful tools to use.
7.1 Introduction and motivation
7.2 Figure design, design process, and fundamentals
7.3 Gallery of visualizations
7.4 Choosing the right tools
7.5 Data formats
7.6 Figures and tables in reports and publications
8. How to archive research data
Archiving research data is a crucial part of the research process. It's not just about fulfilling data sharing requirements, but also about sharing your findings and making the results of your research publicly available. In this section you will learn about the basics of data archiving/sharing; why it is important, and what considerations you should take into account when you are in the process of archiving/sharing research data.
8.1 'Sharing is caring'
8.2 What, where and when to share
8.3 Open/Embargoed/Restricted
8.4 Choosing data repository
8.5 Finding reputable data repositories
9. Rights and licenses for research data
Who holds the rights to your research data, you or your employer? Is "your" research data even yours? Questions like these are not always entirely easy to give a straightforward answer to, in this section you'll learn more about ownership, copyright and licenses in regard to research data.
9.1 Research data: Terms of use
9.2 Rights in research data
9.3 Licenses for research data
9.4 The Attribution condition in Creative Commons licenses
10. How to write a data management plan
In this section you will learn to plan your project well. The data management plan is a project management tool revolving around everything that has to do with your data. The key is to chunk down all the steps ahead of you, to help you through your PhD project step by step.
10.1 The motivations of data management plans
10.2 The data management plan is a project management tool
10.3 Using DMP templates
10.4 Quiz
11. Summary and exam quiz
Module 2
Module 2 is based on active learning from the participating PhD candidates. It aims to enable PhD candidates to better understand to how to put theory in practice. The course is also geared towards giving PhD candidates the opportunity to improve their knowledge of data storage so that they can begin to work practically with planning, collecting, storing, processing and analysing data and the subsequent archiving, citing and structuring. PhD candidates will make use of what they learned in Module 1, through practical assignments working in small groups with other PhD candidates. Group exercises and discussions will draw upon local resources and meet local demands. PhD candidates are encouraged to choose their own data, however, they will be given a dataset from the lecturers, which might inspire them.
Module 2 schedule in 2023
Session 1: The importance of RDM and open archiving
April 14, 9-12am, room BS9
Lectors: Eva Hnátková, Martin Schatz
Session 2: The Data Management Plan
April 14, 13-16pm, room BS9
Lectors: Martin Schatz, Eva Hnátková
Session 3: Structuring and documenting research data
April 17, 9-12, room A40
Lectors: Aili Sarre and Andreas Klein (Artic University of Norway, Tromso)
Session 4: Data storage, file formats, and the FAIR data principles
April 21, 9-12 am, room BS9
Lectors: Jan Vališ, Adam Sklenař
Session 5: Archiving research data
April 21, 13-16pm, room BS9
Lectors: Adam Sklenař, Jan Vališ
Session 6: Searching, citing, and licensing research data
April 24, 9-12am, room A40
Lectors: Jan Vališ
Module 3
Module 3 offers practical assignment/tasks in cooperation with some business or public service entity, which will help PhD candidates to prepare for a career outside academia. Module 2 and 3 are organized as workshops, and will give you hands-on training in research data stewardship. This module focuses on putting into practice the theoretical and practical skills acquired in the previous modules in a non-academic setting!
Module 3 schedule in 2023
Session 1: European and national view
April 28, a whole day in room BS9
Lectors: TBA
Excursion: ORLEN Unipetrol
one whole day in May 19
Lectors: TBA
The DocEnhance Data Stewardship course is being introduced in frame of H2020 project SwafS-2018-2020 „Enhancing skills intelligence and integration into existing PhD programmes by providing transferable skills training through an open online platform“ (docenhance.eu)
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