Data Used. Canyon Creek Software uses Directory Information to allow parents and teachers to schedule conference appointments. Canyon Creek Software does not use educational, medical, disciplinary or other data/information. The only data created by users of the system is conference appointment dates and times.
Data Used. The major part of the secondary data used in this study where found in articles, books and web-pages. Secondary data were also found and used from The Emergency Database (EM- DAT) and concerns historical data regarding countries related to disasters. In addition a survey was done related to the case study. The purpose of the survey was to collect primary data concerning humanitarian organizations preferences. The survey The survey was made available on the internet, and the invitation letter to participate in the survey was sent to 82 persons in total including all known Heads of logistics, if not known the main e-mail address, or known people in the organization. Organizations ranging from small private NOG’s to large multi-national NGO’s including IFRC and organizations within UN. 24 organizations responded to the questioner, where 12 completed the entire survey. In the further analysis we have only included the complete responses. The questioner was divided into two parts, each representing different aspect of our research. Part one looks into the preferences of the humanitarian organizations when it respect to lead time, punctuality, flexibility and customized products, and their preferences when it comes to long term contracts (LTA) and the extension of such contracts. Part two reveals the different organizations preferences regarding sourcing and pre- positioning, in respect to ROFI Industrier AS and their product spectrum. Quantitative data The data from the (EM-DAT) concerns countries affected from different types natural disasters during the period of 1999-2009. The data for each year were aggregated in order to define which countries have represented the biggest “markets” during the last decade. The data represented the different countries in terms of the different impacts made from natural disasters. The data were run through a process resulting in a group of countries that could be sorted out to be “target countries” and a group of disasters that could be defined as more dominant than others. The target countries and the dominant disasters were in the end used in order to propose where supplies should position their supplies to qualify for the humanitarian market and to be order winners.
Data Used. Canyon Creek Software uses Directory Information to allow parents and teachers to schedule conference appointments. Canyon Creek Software does not use EXHIBIT “B” SCHEDULE OF STUDENT DATA Category of Data Elements Check if used by your system Application Technology Meta Data IP Addresses of users, Use of cookies etc. COOKI ES Other application technology meta data-Please specify: Application Use Statistics Meta data on user interaction with application Assessment Standardized test scores Observation data Other assessment data- Please specify: Attendance Student school (daily) attendance data Student class attendance data Communication s Online communications that are captured (emails, blog entries) Conduct Conduct or behavioral data Demographics Date of Birth X Category of Data Elements Check if used by your system Place of Birth Gender Ethnicity or race Language information (native, preferred or primary language spoken by student) Other demographic information- Please specify: Enrollment Student school enrollment X Student grade level X Homeroom X Guidance counselor X Specific curriculum programs Year of graduation Other enrollment information- Please specify: Parent/Guardian Contact Information Address Email X Phone Parent/Guardian ID Parent ID number (created Category of Data Elements Check if used by your system to link parents to students) Parent/Guardian Name First and/or Last Schedule Student scheduled courses Teacher names X Special Indicator English language learner information Low income status Medical alerts /health data Student disability information Specialized education services (IEP or 504) Living situations (homeless/xxxxxx care) Other indicator information- Please specify: Student Contact Information Address Email Phone Student Identifiers Local (School district) ID X Category of Data Elements Check if used by your system number State ID number Vendor/App assigned student ID number Student app username Student app passwords Student Name First and/or Last X Student In App Performance Program/applica tion performance (typing program-student types 60 wpm, reading program-student reads below grade level) Student Program Membership Academic or extracurricular activities a student may belong to or participate in Student Survey Responses Student responses to surveys or questionnaires Student work Student generated content; writing, pictures etc. Other student work data - Category of Data Elements Check if used by your system Please specify: Trans...
Data Used. In the papers presenting new datasets, we examine what sensor data is collected. Due to space constraints, we describe only the type of sensors used, not specific usage details (e.g. the particu- lar touch events are examined). The main data categories used are summarised in Section 5. We have summarised the subject count, whether subjects needed to perform a specific task (every- thing from walking [35] to navigating maps [14]). Because it takes time to learn a task and that subject’s behavioural patterns can change over time, we examine whether researchers collect multi- ple session data, and if so, the time gap between sessions. It is also possible to have an “unconstrained” data collection, when data are captured over multiple days and doesn’t require the subject to interact with the system in any particular way, nor perform any task. We are interested in the overall duration of the data collection (sum of all data collection session duration). In some studies, it is argued that subjects should not know the real data capture reason in order not to affect the way how sub- jects interact with the mobile devices during data collection (e.g. [13]). Of course, it may be perceived to be unethical, if an “uncon- strained” data collection’s subjects would not know the collection reason and the type of data that is collected. Most of all we think that it is essential if authors publish data used in experiments and provide others with the data protocols so that others can reproduce their experiments identically. We try to see if there is a correlation between the fact that data is pub- lished and the citation count. It would seem logical, that papers that introduce public datasets would be cited more.
