A data processing agreement (DPA) is a legally binding document to be entered into between the controller and the processor in writing or in electronic form. It regulates the particularities of data processing- such as its scope and purpose- as well as the relationship between the controller and the processor.
The following document is being used- in conjunction with the Data breach event response framework- to report the specific details of the data breach, as well as the remedial measures that are taken to minimize the risk to data subjects.
The purpose of the Duty of Care Guideline is to advise researchers and the organisations in which they work on their responsibilities to protect the privacy and well-being of data subjects. It provides organisations with flexibility to formulate their own solution to mitigate and address the risks inherent to the type of research they may conduct or commission.
This new ESOMAR/GRBN Guideline is for researchers and clients engaged in primary research. It includes all quantitative and qualitative methods that involve direct interaction (such as to get consent) with the data subject, including passive data collection in which the researcher observes, measures or records a person?s actions. It also is meant to provide guidance for those who commission research. Methodologies included but are not limited to surveys, focus groups, in-depth interviews, ethnographic studies and some forms of observational research, including mystery shopping.
In 2012, ESOMAR published 24 Questions to Help Buyers of Social Media Research. These questions were intended to help users of social media research consider issues that might influence whether a social media listening tool was fit for the purpose of a particular research objective, whether qualitative, quantitative, or both. The questions were designed to help users gain a better understanding of the services being offered and ensure that what they received from a social media data provider was what was expected. Over the intervening years a great deal has changed in terms of the types of data available for analysis, the sources for such data, the ways in which researchers acquire and analyze it, the technologies used, the industry players, and the regulatory environment, to name a few. Of special note is the interest in moving beyond text to include the broader category of unstructured data (text, images, audio, and video) and the expansion of potential sources beyond social media to include, for example, survey open ends, focus group transcripts, call center interactions, and more. At the same time, the software tools for analyzing these types of data have grown in number and capabilities. The purpose of this document is to update ESOMAR's guidance to better reflect current practice in market, opinion, and social research and data analytics.
This paper reviews the key ethical, legal, technical and data quality challenges researchers face when working with these new data sources. Its goal is to start a conversation among researchers aimed at clarifying their responsibilities to those whose data we use in research, the clients we serve and the general public. It uses the term secondary data to mean data collected for another purpose and subsequently used in research. It expands on the traditional definition of secondary data to account for new types and sources of data made possible by new technologies and the Internet. It is used here in place of the popular but often vague term, big data, and is meant to include data from various sources, such as transactions generated when people interact with a business or government agency; postings to social media networks and the Internet of Things (IOT). It is distinct from primary data, meaning data collected by a researcher from or about an individual for the purpose of research.
This document provides guidance to researchers on the special care required when undertaking research with children, young people, and other vulnerable individuals. Its principal focus is the ethical and legal issues involved, rather than the technical problems of such research. Thus, the welfare of individual data subjects is the overriding consideration. They must not be disturbed or harmed as a direct result of participating in research, or having their data processed and analysed for a research purpose.
The ICC/ESOMAR International Code on Market, Opinion and Social Research and Data Analytics, which was developed jointly with the ICC (International Chamber of Commerce), sets out global standards for self-regulation for researchers and data analysts and is undersigned by all ESOMAR members.
The ICC/ESOMAR International Code on Market, Opinion and Social Research and Data Analytics, which was developed jointly with the ICC (International Chamber of Commerce), sets out global standards for self-regulation for researchers and data analysts and is undersigned by all ESOMAR members.
The ICC/ESOMAR International Code on Market, Opinion and Social Research and Data Analytics, which was developed jointly with the ICC (International Chamber of Commerce), sets out global standards for self-regulation for researchers and data analysts and is undersigned by all ESOMAR members.