1. The person concerned may have the data exporter apply this clause, clause 4 B) to (i), point 5 a) to (e) and (g) bis (j), paragraph 6, paragraph 1, and (2), clause 7, clause 8, paragraph 2, and clause 9 to 12 as third beneficiaries. “data exporter,” the person in charge of processing the personal data; A data-sharing agreement is an agreement between a party with useful data (the Discloser) and a party that searches for data for research on (the recipient) under which the public agrees to share its data with the recipient. These could be two universities that agree to share data for research cooperation, one or more private companies active in research or development, and even a government agency working with a private agency. 2. The parties agree that the supervisory authority has the right to carry out a check on the importer of data and a subprocesser with the same scope and conditions as in the case of a control of the data exporter in accordance with existing data protection legislation. 184.108.40.206 the transfer of personal data from the company by a contract subcontractor to a subcontractor or between two branches of a commercial subcontractor, at least where such transmission would be prohibited by data protection legislation (or by the conditions of data transfer agreements put in place to impose restrictions on data protection); This data processing agreement is adapted by the DPA De ProtonMail which is on this page. Organizations can use the following document as part of their compliance with the RGPD. one.
The data exporter agrees that these clauses constitute confidential information of the data importer, as defined in the agreement, and cannot be disclosed to third parties by the data exporter without the prior written consent of the data importer, unless the agreement permits. This does not preclu her disclosure of these clauses to a person concerned, in accordance with paragraph 4, point h), or to a supervisory authority referred to in paragraph 8. “organizational technical and security measures,” measures to protect personal data from accidental or accidental destruction, tampering, unauthorized disclosure or unauthorized access, particularly where processing involves the transfer of data through a network, and from any other form of illicit processing. Detection: We have designed our infrastructure to record a lot of information about system behavior, received traffic, system authentication and other application requirements. Internal systems have aggregated the protocol data and warn the appropriate personnel of malicious, involuntary or abnormal activities. Our staff, including security, operations and assistance personnel, respond to known incidents.