Turvaline andmete ristkasutamine era- ja avaliku sektori vahel (Statistikaamet)

This mandatory tender requires a multidisciplinary team (legal/tech privacy, secure IT development, infosec, statistical & mobile-positioning data processing, cost-benefit analysis) to design, pilot and scale a privacy-preserving cross-sector data-sharing solution, evaluated on a free-form project description and first-stage plan plus confirmation of environmental delivery in digital form only.

This tender (non-mandatory, 3 winners) seeks custom-software firms that can deliver a secure cross-sector data-sharing pilot: 45 % of 100 points ride on a convincing end-to-end project write-up, 30 % on a detailed phase-1 plan, and the remaining 25 % goes to the lowest offered prices for phase-1 cost, development hourly rate and analysis hourly rate—so bid only if you combine strong privacy-tech/architecture credentials with aggressive pricing.

This is only the ESPD template (not the full tender dossier) for an open Estonian procurement that will award three parallel framework contracts for a pilot project on secure cross-sector data-sharing; it shows the contracting authority (Riigi Tugiteenuste Keskus), the high-level work packages (legal/technical analysis, privacy-tech selection, prototype build & test, scalability/cost-benefit study) and the online ESPD fields you will later have to complete, but it contains no mandatory qualification thresholds, evaluation criteria, price formula or delivery schedule—so you cannot yet decide whether to bid.

This data-processing contract appendix—mandatory for all bidders—requires full GDPR (2016/679) compliance as a data processor, imposes strict security and breach-notification obligations, and must be signed with each of the three winning suppliers, so only firms already certified/experienced in privacy-preserving technologies and EU data-protection law should pursue the tender.

Tender seeks three vendors to design, pilot and scale a privacy-preserving cross-sector data-sharing platform: mandatory 45-point quality proposal covering deep understanding of tasks, proven team, risk plan and communication strategy plus competitive 20-point pricing on first-stage cost and hourly development/analysis rates—bid only if you can field legal/tech privacy-tech experts and commit to fixed-price pilot.

This single-lot tender (mandatory, no splitting) seeks one Estonian-speaking provider to design, pilot and cost-model a privacy-preserving, license-free cross-sector data-sharing solution; bidders must therefore prove deep competence in secure software development, privacy-enhancing technologies and legal/technical feasibility analysis and be ready to submit full Estonian documentation including any foreign-parent or subcontractor compliance passes.

This is a framework-agreement draft for a pilot project on secure cross-sector data sharing, requiring the winning bidder to design, implement and test a privacy-preserving technology solution for Statistics Estonia; the document itself does not spell out mandatory qualifications or evaluation criteria, so bidders must look to the full procurement files (technical specification, procurement notice, etc.) to decide whether to bid.

Estonia’s Statistics Office will award three parallel framework contracts (no lotting) for a mandatory pilot-to-production project that requires bidders to design, build and test a privacy-preserving cross-sector data-sharing platform (using PETs such as homomorphic encryption or secure multi-party computation), prove GDPR/statistical-confidentiality compliance, demonstrate prior public-sector data-integration experience, and deliver a scalable cost-benefit model for a future nationwide service.

Tälle asiakirjalle ei ole saatavilla yhteenvetoa.

The Estonian Statistical Office will award three parallel framework contracts (no lot-splitting) for a mandatory pilot-to-concept project that requires bidders to (i) design and test a privacy-preserving technology for cross-sector data linkage of already-anonymised telecom/mobile datasets with public-sector microdata without ever exchanging raw records, (ii) deliver a scalable/costed architecture and legal-compliance memo, and (iii) demonstrate prior hands-on experience in differential privacy, secure multi-party computation or similar PETs and in handling 250 m+ anonymised location records—so only specialised data-science or PET firms that can show both deep crypto/privacy tech credentials and large-scale anonymised telecom data projects should bid.