Technical solution for data collection, data safety and data privacy legislation: experiences from the SWEET study

Pediatr Diabetes. 2012 Sep:13 Suppl 16:39-48. doi: 10.1111/j.1399-5448.2012.00911.x.

Abstract

Background: One of the most important tasks of the SWEET study is benchmarking the data collected. Information on the occurrence of the disease of diabetes, the treatment, and their outcomes in children from the different member states of European Union (EU) is crucial. How the collection of data is realized is essential, concerning both the technical issues and the results. The creation of SWEET Centers of Reference (CoR), all over Europe will be facilitated by the access to safe data collection, where legal aspects and privacy are ascertained.

Objective: To describe the rationale for- and the technical procedure in the data collection implementation, in the SWEET study.

Subjects: Selected data on all patients treated at SWEET CoR are collected.

Methods: The SWEET project data collection and management system, consists of modular components for data collection, online data interchange, and a database for statistical analysis.

Conclusion: The SWEET study and the organization of CoR aims for the goal of offering an updated, secure, and continuous evaluation of diabetes treatment regimens for all children with diabetes in Europe. To support this goal, an appropriate and secure data management system as described in this paper has been created.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adolescent
  • Child
  • Computer Security / legislation & jurisprudence*
  • Computer Security / standards
  • Confidentiality / legislation & jurisprudence*
  • Confidentiality / standards
  • Data Collection* / instrumentation
  • Data Collection* / legislation & jurisprudence
  • Data Collection* / methods
  • Data Collection* / standards
  • Databases, Factual / legislation & jurisprudence
  • Databases, Factual / standards
  • Diabetes Mellitus / epidemiology*
  • Diabetes Mellitus / therapy
  • Endocrinology / legislation & jurisprudence
  • Endocrinology / methods
  • Endocrinology / organization & administration
  • Endocrinology / standards
  • European Union / organization & administration
  • European Union / statistics & numerical data
  • Humans
  • International Cooperation / legislation & jurisprudence
  • Management Information Systems / legislation & jurisprudence
  • Management Information Systems / standards
  • Models, Biological
  • Reference Standards
  • Registries / standards
  • Registries / statistics & numerical data