#  Executive Summary

This report constitutes the Deliverable 5.2 (Data Management Plan) of the
SKILLFUL project, part of the WP5 (Pilots). SKILLFUL project aims to identify
the skills and competences needed by the Transport workforce of the future
(2020, 2030 and 2050 respectively) and define the training methods and tools
to meet them. Within this context SKILLFUL have developed new training
schemes, which have been adapted to the particular needs of the transportation
professionals of the present and the future.

These training schemes have been validated through the realisation of Pilots
in 27 Pilot sites in 12 different countries (namely, Brazil, Denmark, Finland,
France, Germany, Greece, Ireland, Italy, Lithuania, Portugal, Slovakia and
Spain).

The Data Management Plan (DMP) has been prepared (and also updated), following
the regulations of the Pilot action on Open Access to Research Data of Horizon
2020. In this 3  rd  and final version of the Deliverable the necessary
aspects of the Data Management process, mainly related to the SKILLFUL pilots’
realisation are being described.

#  Introduction

SKILLFUL (  _http://skillfulproject.eu/_ )  is dealing with one of the main
challenge for the transportation sector, which is the ability to attract new
employees, as well as equip the existing ones with the competences required
for addressing the needs of the constantly changing and developing
transportation sector. Its vision is to identify the skills and competences
needed by the Transport workforce of the future (2020, 2030 and 2050
respectively) and define the training methods and tools to meet them. Within
this context, the project objectives can be described as following:

  * to critically review the existing, emerging and future knowledge and skills requirements of workers at all levels in the transportation sector, with emphasis on competences required by important game changers and paradigm shifters (such as electrification and greening of transport, automation, MaaS, etc.); 

  

  * to structure the key specifications and components of the curricula and training courses that will be needed to meet these competence requirements optimally, with emphasis on multidisciplinary education and training programmes; 

  

  * to identify and propose new business roles in the education and training chain, in particular those of “knowledge aggregator”, “training certifier” and “training promoter”, in order to achieve European wide competence development and take-up in a sustainable way. 

  

For the aforementioned objectives to be achieved, the whole project process
has been structured that way that it can be divided into three major
categories/ steps:

  * **Step 1** : Identification of Future Trends/ Needs & Best Practices 

  

  * **Step 2** : Development of Training Schemes & Definition of Profiles and Competences 

  

  * **Step 3** : Verification and Optimization of training schemes 

  

During the third step of the SKILLFUL project and the procedure of the
training schemes piloting and verification, data have been collected during
the realisation of the 27 pilots that were organised during the years 2018 and
2019. The Data Management Plan is a deliverable directly connected to
evaluation and pilot plans for each of the pilot sites.

This final version of the deliverable (Month 36) includes description of the
datasets developed and used for the pilots’ analysis, following the
regulations of the Pilot action on Open Access to Research Data of Horizon
2020 [1].

##  Interrelations

Data Management aspects are closely related to:

  1. Ethics issues in SKILLFUL, especially in the context of collecting, managing and processing data from real-life users (including Pilots’ participants), 

  

  2. Legal issues related to personal data (including sensitive personal data), security and privacy. 

  

  

Therefore, this document has been updated as the work evolved and in close
synergy with the work of Activity 7.4 “A7.4 Quality Assurance, Ethics, Equity
and Gender issues”.

#  Data processes during the SKILLFUL Pilots

The Guidelines on Data Management in Horizon 2020 document has been taken
under consideration, used in order to identify and define the data management
procedures, which the SKILLFUL project has followed. Data collection, storing,
accessing, and sharing abides to the international legislation (Data
Protection Directive 95/46/EC “on the protection of individuals with regard to
the processing of personal data and on the free movement of such data” and EU
general data protection regulation 2016/679 (GDPR), which has taken effect in
May 25 2018) and guidelines [2]. This final update (M36) contains descriptions
of dataset structures of data contained and used for the evaluation of the
SKILLFUL pilots.

Subjective data have been collected during several types of qualitative
surveys of the project (i.e. within WP1, WP2 and WP4), workshops (i.e. within
WP1, WP2) and, of course during the realisation of the pilots (WP5). This data
is collected, managed and processed by SKILFUL partners and it has been
anonymised in all cases. In the case of Pilots, subjective data deal mostly
with the evaluation and assessment of the piloted SKILLFUL courses, as well as
satisfaction/perceived quality and acceptance (perceived/rated by users) of
these courses, according to the pilot participants, namely the following:

  * Trainers 

  

  * Trainees 

  

  * Organisers 

  

  * Stakeholders 

  

Apart from data, metadata have been collected to define the characteristics
and in many cases to facilitate processing, storing, and, finally,
understanding the data collected during the pilots. Metadata definitions range
from quality descriptions of datasets when they are used by analysts who did
not participate in the data collection, thus, it is important for them to
understand as much as possible about the related processes and procedures to
aggregation of data to something different.

For the evaluation phase of the SKILLFUL Pilots, an online questionnaire was
developed  ( _https://www.soscisurvey.de/skillfulTCE/_ )  . Web link to the
questionnaire was distributed to all survey participant groups (4 different
types mentioned above). The following types of data have been logged, managed
and processed in this SKILLFUL system during performance and evaluation of
SKILLFUL

Pilots:

  * **Personalisation data:** Data concerning each survey respondent’s profile (each pilot’s participant as listed above) have been collected by the evaluation questionnaires provided. More specifically, the following information is being required: 

  

o Gender information o Curriculum background (only for trainees) o Years of
professional experience (only for trainees) All information acquired in
anonymised.

  * **User feedback data:** Through the second part of each questionnaire (for all 4 types of participants) an upper level (subjective) evaluation of each pilot course examined has been obtained from the participants. The feedback concerns various aspects of the course, such as (indicatively) its content and usefulness, appropriateness, its potential of providing new skills, its learning outcomes and how they could improve the job opportunities of the individual participants. Feedback is provided also on the organisation of the pilot course (i.e. resources, functionality of classroom, technical equipment, timetable, teaching and learning methods, the trainers’ background knowledge and skills, etc.). At the end of each questionnaire, users were asked to indicate their overall rating concerning the examined Pilot course, while also provide general comments and suggestions for improvement. 

  

All information has been acquired in anonymised form.

Figure 1: Example of the anonymisation of the data obtained during the
SKILLFUL pilots

##  Data storage and back up

The collection of the data obtained by the SKILLFUL were regularly securely
stored and backed-up. Sometimes multiple copies were made as the data were
initially collected by CERTH, which was also responsible for the monitoring
and optimisation of the online questionnaires and periodically (biweekly),
copies of the data were send to VTT, the partner that was responsible for the
analysis of the Pilots information and the consolidation of their results
(processor).

The following data storage options have been used:

  * **External hard drives/USB sticks:** used in long-trials (WP5) and local evaluations. They have served as backups and intermediate storage units before transferring data to a permanent/longterm storage place. 

  

  * **Personal computers and laptops:** Similarly they have mainly served as a short-term options and for transferring data after the evaluation sessions to a selected storage place. 

  

  * **Network/fileservers:** large data sets are being stored and they will serve as the long-term storage solution. Regular backups ensure data are not lost or corrupted. 

  

##  Data ownership and preservation

Any data gathered during the lifetime of the project are the ownership of the
beneficiary or the beneficiaries (joint ownership) that produce them according
to subsection 3, Art. 26 of the signed Grant Agreement (723989-SKILLFUL).

Data will be preserved after the end of the project (for a period of two
years) only for complete datasets that partners have agreed to share them with
other researchers (if any). However, since the data obtained by the
participants during the SKILLFUL project and especially during the Pilots,
concerned mainly personal data describing features that have to do with the
training and the professional skills of the participants, and also due to the
fact that the pools of the data are small they are not intended to be reused
or shared with third parties. The data collected do not include physiological
measurements and information, so their nature make them not appropriate for
algorithmic applications.

#  SKILLFUL data privacy policy

Participants’ personal data have been being used in strictly confidential
terms and have been published only as statistics (anonymously).

The stored data only refer to users’ gender, professional background and
nationality (no other identifier was collected). Nevertheless, stored date
relate only to users’ activities related to their specific position and job,
not to a person’s beliefs or political or sexual preferences. Moreover, it is
very important to also mention that any data related to the performance of
each pilot participant/ user to their job/ position duties (“incidental
findings”) it is not part of the SKILLFUL research and thus will not be taken
into account and no relevant information will be disclosed to any 3  rd
party; including the trainees’ colleagues and management. Any of the following
data have _not_ be stored:

  * Name, address, telephone, fax, e-mail, photo, etc. of the user (any direct or indirect link to user ID). 

  

  * User location (retrieved every time dynamically by the system, but not stored). 

  

  * Any other preferences/actions by the users, except the ones motioned explicitly above. 

  

  * To whom they communicates, their frequent contacts, etc. 

  

##  During pilots

During the SKILLFUL Pilot tests:

  1. In cases that any personal data (i.e. names, address, and contact details) from transport professionals participating in the pilots were required, these were provided only to a single person in each pilot site, to be stored in a protected local database (to contact them and arrange for the tests). None of these persons participated in the evaluation process and the analysis of the data. Each participant was registered in the database through an anonymous ID. 

  

  2. This personal data have been kept in the database only for the duration of each trial (short term trials-up to 1 week, long term trials- up to 1 month). Such data have not been communicated to any other partner or even person in each pilot site. Once the pilots were completed, any relevant information has been deleted. 

  

  3. Since personal data have been deleted, no follow-up studies with the same people will be feasible. 

  

  

The partners of the consortium agree and declare that personal data have been
used in strictly confidential terms and been published only as statistics
(anonymously).

#  Conclusions

This deliverable (D5.2) contains and monitors since the beginning of the
SKILLFUL project the Data Management processes that have been structured and
followed, regarding mainly the analysis of the data provided by real users
(i.e. through questionnaire’s, dissemination events and workshops and during
the project’s pilot tests), emphasizing the proper management of personal data
and the protection of participants.

This deliverable has acted as s a reference document, since ethical
considerations, especially about data protection, privacy and security have
elaborated in it, in cooperation also with the SKILLFUL Ethics Board.