Types of Data. 1.1 Raw: data submitted by Participants (e.g., DITL);
Types of Data. Institution Data may include, but information, contact details, professional activities and affiliations, professional qualifications, education and training, financial information on the educational grant provided by Medtronic to Institution, and bank account information. In case Institution provides unsolicited additional information, including personal preferences, Medtronic will process such data in accordance with this data protection clause. Medtronic may identify certain characteristics, or traits on the basis of which Medtronic may create or compile professional, compromiso entre las partes respecto al objeto del mismo y sustituye a todos los acuerdos o compromisos anteriores celebrados entre las partes en relación con su objeto.
Types of Data. For the purposes of this set of documents there are essentially three classes of data as defined by the Act itself listed below:
Types of Data. Almost 3.000 data attributes can be exchanged via My Product Manager. These attributes are determined by leading retailers and suppliers/manufacturers in the Benelux do-it-yourself industry. The attributes can roughly be divided into several groups, based on their relevance and purpose: - Common attributes - eCommerce attributes - Attributes for dangerous goods and environmental legislation You will find more information about these group of attributes in the next sections.
Types of Data. Data will be gathered to establish baseline conditions, evaluate impacts of Covered Activities on Covered Species, and develop conservation strategies and measures for Covered Species. Data needed to accomplish these tasks may include, but will not necessarily be limited to: species’ life histories, species’ occurrence, population abundance and distribution, population trends, population genetics, habitat locations and conditions, barrier and hazard types and locations, habitat connectivity, and ecological threats and stressors.
Types of Data. Institution Data may include, but are not limited to, individuals’ basic identity information, contact details, professional activities and affiliations, professional qualifications, education and training, financial information on the educational grant provided by Medtronic to Institution, and bank account information. In case Institution provides unsolicited additional information, including personal preferences, Medtronic will process such data in accordance with this data protection clause. Medtronic may identify certain characteristics, or traits on the basis of which Medtronic may create or compile professional, compromiso entre las partes respecto al objeto del mismo y sustituye a todos los acuerdos o compromisos anteriores celebrados entre las partes en relación con su objeto.
Types of Data. Data collected as evidence of teacher practice may be quantitative, qualitative, or a combination of both. Quantitative data includes frequencies, distributions and other counts or tallies. For example the observer could use a checklist to tally how many questions were asked of children in the front row or children who had their hands raised versus not. The evaluator might also chart the types of questions asked (higher versus lower levels). Qualitative data can include scripted notes detailing patterns of activities, vocabulary used, and events observed. In both cases accuracy is essential to ensure the credibility of the process and the evaluator.
Types of Data. ☐ The type of personal data used is defined in the attached service agreement. or ☒ The subject matter of processing personal data pertains to the following data types/categories (list/ description of data categories) ☐ Personal identifiable data ☐ Communication data (e.g. telephone, e-mail, IP address) ☐ Contract reference data (contractual relationship, product or contractual interest) ☐ Customer history ☐ Contract billing and payment data ☐ Planning and operating data ☐ Disclosed information (from third parties, e.g. credit agencies, or from public directories) ☒ Within the scope of support service (remote or on-site maintenance), insight into any conceiv- able form of personal data can arise for a short period of time, which is determined by customer behaviour.
Types of Data. Institution Data may include, but are not limited to, individuals’ basic identity information, contact details, professional activities and affiliations, professional qualifications, education and training, information on sponsorship paid by Company (Insert) to Institution, and bank account information. In case Institution provides unsolicited additional information, including personal preferences, Company (Insert) will process such data in accordance with this data protection clause. Company (Insert) may identify certain characteristics, or traits on the basis of which Company (Insert) may create or compile professional, behavioral or financial profiles for the abovementioned purposes. 8.2.2
Types of Data. The Parties agree that information on a wide range of subjects is important for preparation of the MSHCP/NCCP. Priority for data collection has been given to the data essential to clarify conservation requirements of natural communities and Covered Species. In addition, data needed to establish baseline conditions, evaluate impacts of Covered Activities on Covered Species, and develop conservation strategies and measures for Covered Species are a priority for study design and collecting. Data needed to accomplish these tasks may include, but will not necessarily be limited to: species life histories, species occurrence, population abundance and distribution, population trends, population genetics, habitat locations and conditions, hydrologic regime, hydrodynamics, temperature, flow patterns, barrier and hazard types and locations, habitat connectivity, ecological threats, and stressors.
