BETA

15 Amendments of Monika HOHLMEIER related to 2016/2225(INI)

Amendment 19 #
Motion for a resolution
Recital C
C. whereas corporations, governmentcompanies, governments, political leaders and organisations have taken advantage of such data sets and big data analytics to foster competitiveness, innovation, market prediction, political campaigns, targeted advertising, scientific research and policy making in the field of transportation, political elections and outcomes, ,‘smart cities’, law enforcement, transparency, public health and disaster response;
2016/12/19
Committee: LIBE
Amendment 25 #
Motion for a resolution
Recital D
D. whereas big data has the potential to bring undeniable benefits and opportunities for citizens, businesses and governments, but also entails significant risks, namely with regard to the protection of fundamental rights as guaranteed by the EU Charter and Union law as well as risks to data security and privacy;
2016/12/19
Committee: LIBE
Amendment 33 #
Motion for a resolution
Recital D a (new)
D a. whereas the Commission's Digital Single Market Strategy for Europe recognise the potential of data-driven technologies, services and big data as catalyst for economic growth, innovation and digitalisation in the EU;
2016/12/19
Committee: LIBE
Amendment 35 #
Motion for a resolution
Recital D b (new)
D b. whereas the big data sector is growing by 40% per year, seven times faster than the IT market;
2016/12/19
Committee: LIBE
Amendment 36 #
Motion for a resolution
Recital D c (new)
D c. whereas big data has a huge unrealised potential as a driver of productivity and as a way of offering better products and services to citizens;
2016/12/19
Committee: LIBE
Amendment 37 #
Motion for a resolution
Recital D d (new)
D d. whereas big data can increase the operational efficiency and targeting of service delivery in the public sector;
2016/12/19
Committee: LIBE
Amendment 38 #
Motion for a resolution
Recital E
E. whereas the pervasiveness of sensors, extensive routine data production and contemporary data-processing activities are characterised by a high degree of opacity;deleted
2016/12/19
Committee: LIBE
Amendment 57 #
Motion for a resolution
Recital G
G. whereas the proliferation of data processing and analytics, the multitude of actors involved in collecting, retaining, processing and sharing data and the combination of large data sets containing personal data from a variety of sources, retained for unlimited amounts of time, have all created great uncertainty for both citizens and businesses over the specific requirements for compliance with general data-protection principles but entail significant chances for citizens, mankind, business and economy;
2016/12/19
Committee: LIBE
Amendment 78 #
Motion for a resolution
Paragraph 2 a (new)
2 a. Underlines that big data analytics create added value in several ways and that there are a number of positive examples: Big data analytics in weather research help to analyse and fight climate change. In healthcare big data tools help predicting virus epidemics and the outbreak of diseases as Malaria or Cholera. Healthcare interventions and medication therapy for cancer patients can be more tailored to individual patient's circumstances using big data. Big data helps to make cities smarter by reducing street lightening energy consumption, optimizing the timing of traffic signals and so reducing tones of CO2 emissions and it is an useful tool for traffic management and air quality management as well. Big data analytics help companies to uncover the potential for slavery in their supply chains and to mitigate it. Big data also helps to predict hunger crises and riots in areas of conflict. Sophisticated big data analytics predict when the maintenance of aircraft turbines is necessary. This reduce the maintenance operation and disruption for airlines, it improves the efficiencies and makes aircrafts safer. Big data makes wind power smarter through analytics and big data tools help to increase power generation and to reduce maintenance costs. Big data helps to improve working conditions and to reduce burn-out rates of employees;
2016/12/19
Committee: LIBE
Amendment 97 #
Motion for a resolution
Paragraph 3 a (new)
3 a. Underlines that the Digital Single Market must be built on reliable, trustworthy and high-speed networks and services that safeguard data subject's fundamental rights to data protection and privacy while also encouraging innovation and big data analytics in order to create the right conditions and a level playing field to boost European (digital) economy;
2016/12/19
Committee: LIBE
Amendment 125 #
Motion for a resolution
Paragraph 6
6. Takes the view that anonymisation techniques should comprise technical measures and contractual obligations which ensure non-re-identification; calls on corporations to regularly review such risks in light of new technologies and to document the appropriateness of measures adopted, allowing independent supervisory authorities to monitor practices and provide recommendations;deleted
2016/12/19
Committee: LIBE
Amendment 132 #
Motion for a resolution
Paragraph 6 a (new)
6 a. Highlights the advantages of pseudonymisation provided for by the GDPR as an appropriate safeguard in order to guarantee a high level of protection of personal data. Points out that pseudonymisation and encryption techniques can play an important role to foster innovation and economic growth by enabling the further processing of personal data for big data analytics, while at the same time ensuring a strong protection of the data subject's privacy. Calls therefore upon the Commission – in its upcoming review of the e-Privacy Directive (2002/58/EC) - to also recognize pseudonymisation as an appropriate safeguard that can reduce risks of the data subjects concerned;
2016/12/19
Committee: LIBE
Amendment 133 #
Motion for a resolution
Paragraph 6 b (new)
6 b. Urges that pseudonymisation and the re-use of data is becoming an issue that strongly needs to be addressed. In this regard calls upon the Commission to bring forward a legislative proposal recognizing pseudonymous data as a new data category. Therefor it would be necessary to introduce a clear legal framework for the use of big data techniques which re-identify individuals by applying the encoding key and therein to include appropriate safeguards for re- identification procedures;
2016/12/19
Committee: LIBE
Amendment 139 #
Motion for a resolution
Paragraph 7 a (new)
7 a. Urges the EU legislators to consider that we still have to remove a series of technical and in particular legal barriers to benefit fully from the potential of big data and other data technologies. Takes the view, that in this regard the data minimisation provided for by the GDPR as one of the principles relating to processing of personal data, as well as the automated processing and profiling could be an obstacle to big data analytics. Calls therefore upon the Commission to provide an appropriate and corresponding legal framework to allow companies to easily create value out of big data while protecting the privacy of citizens and providing data security. In this regard, the Commission should help citizens to understand what benefits the use of big data offers along with the risks;
2016/12/19
Committee: LIBE
Amendment 186 #
Motion for a resolution
Paragraph 11
11. Stresses, in particular, the importance of carrying out prior impact assessments that take account of ethical concerns in order to assess the inclusiveness, accuracy and quality of the data, and to ensure that individuals targeted by the decisions and/or actors involved in the decision-making processes are able to challenge the analysis, patterns and correlations and to prevent any harmful effects on certain groups of individuals;deleted
2016/12/19
Committee: LIBE