What approaches are being taken to tackle the policy challenges within the big data landscape, and how are these solutions coping in reality? This webinar will address these issues through the perspective of two projects: e-SIDES and SMOOTH. Daniel Bachlechner, of e-SIDES, will discuss the organizational and technical challenges that privacy-preserving big data technologies present, and how an increased level of dialogue between stakeholders can pave the way for appropriate and fair solutions. Rosa M. Araujo Rivero will delve into the main challenges experienced by SMEs and startups in dealing with GDPR compliance. Rosa’s work with the SMOOTH project will demonstrate how the proposed solutions are experienced in practice.

1. Helping SMEs and startups´ comply with
GDPR
Rosa Araujo
SMOOTH Coordinator

2. 2222
MOTIVATION and OBJECTIVES

3. 3
SMOOTH MOTIVATION
GDPR CAME INTO FORCE
MAY 2018
THE GDPR DEMANDS
SIGNIFICANT DATA
PROTECTION SAFEGUARDS
MOST SME ARE STILL
LACKING RESOURCES TO BE
FULLY COMPLIANT
FINES UP TO 10 MILLION
OR 2% ANNUAL REVENUE

4. 4
MOTIVATION AND CHALLENGES
SMEs In 2018 there were more than 25 million
SMEs in the Europe-28
SMEs represent the 99,8% of the EU non-
financial sector
66,6% of total EU employment

5. 5
SMOOTH objective

6. 6
SMOOTH MAIN GOAL
• Assist Micro- enterprises adopt and be compliant with the GDPR through a
cloud base platform
SIMPLE AND EASY
TO USE
AFFORDABLE ALL SECTOR
TRANSVERSAL

7. 7
SMOOTH MAIN GOAL
• The user will answer to an entry questionnaire and upload their documents and
data bases. The online platform will then automatically analyse them
TEXT:
ANALYZE DOCUMENTS SUCH
AS PRIVACY POLICIES,
COOKIES
DATABASES:
IDENTIFY PERSONAL DATA,
AND COMPLIANCE WITH THE
LEGAL PRINCIPLES OF DATA
MINIMIZATION
WEBSITES AND MOBILE
APPLICATIONS: ANALYZING
THE POSSIBLE COLLECTION OF
PERSONAL DATA BY THIRD-
PARTY COMPANIES
REPORT

8. 8
SMOOTH SKETCH
of general-purpose so they can be used independently of their business context (c.f., 6 elements listed in Table 1).
SMOOTH aims at implementing a cloud-based platform that meets all these requirements. The final goal is that
SMOOTH cloud-platform becomes the reference solution in Europe to help MEnts to validate their compliance with
the GDPR. Figure 1 outlines the SMOOTH platform.
Figure 1. Overview of the SMOOTH platform
1.3.2. Methodology
The methodology to achieve the SMOOTH goals relies on four different pillars.

9. 9999
PILOT RESULT

10. 10
• 100 SMEs recruited
First validation analysis
58%
31%
11%
A digital business
A traditional
business
An organization
managing sensitive
personal data
73%
18%
8%
1%
Less than 10
employees
Between 10 – 50
employees
I am a self-employed
person
Over 50 employees

11. 11
• Validation_UX evaluation
First validation analysis
0
0,5
1
1,5
2
2,5
3
3,5
4
4,5
Mean Scores
Digital and Privacy Literacy
Digital Literacy Privacy Literacy
Item Results
Inform of
consent
12% never rely on consent for processing personal data/
only 18% use inform of consent forms
Sensitive
data
76% indicated that don´t know if they are processing
special categories of data
Security
measures
Only 35% apply some basic security measures
Online
presence
88% owns a website/ 53% a mobile app, but terms of use
used by 74%, privacy policies only 65%, cookie policies
53%

12. 12
• Validation_UX evaluation
Validation analysis
3
4
5
Mean Scores
Understandingthepurpose
Block 1 Block 2 Block 3 Block 4 Block 5 Block 7 Block 8 Block 9
3
4
5
Mean Scores
Relevance to their business
Block 1 Block 2 Block 3 Block 4 Block 5 Block 7 Block 8 Block 9
3
4
5
Mean Scores
Are the questionseasyto understand?
Block 1 Block 2 Block 3 Block 4 Block 5 Block 7 Block 8 Block 9
3
4
5
Mean Scores
Is the needed informationeasily available?
Block 1 Block 2 Block 3 Block 4 Block 5 Block 7 Block 8 Block 9
2on. PILOT
N. For When
60 Validating the SMOOTH platform Jul/20
500 Market validation Aug-
Oct/20
https://smoothplatform.eu/

13. 13131313
HANDBOOK

14. 14
SMOOTH handbook

15. 15
PROJECT CONSORTIUM

16. THANK YOU
Rosa Araujo
rosa.araujo@eurecat.org
https://smoothplatform.eu/