zilongwang/ReadingBank huggingface dataset:
Making Graphs Behaviours/Strategies Student has difficulty sorting the objects into three groups. Student places objects or draws pictures in groups on the graph. Student sorts in lines, but objects or pictures are not equally spaced and aligned. Pictures may be of different sizes. Student sorts in lines, all pictures are about the same size, and objects or pictures are equally spaced and aligned. Graph has a title and labels. Observations/Documentation Reading Graphs Behaviours/Strategies Student has difficulty counting the number of objects in a column. Student a pictograph or concrete graph but has difficulty reading data from the graph (e.g., “Which column has the most pictures or objects?”). Student data from the graph but has difficulty comparing the data. Student answers “how many” questions about the graph and compares data using terms such as “more,” “fewer,” “most,” and “least.” Observations/Documentation
Name: _______________________ Not Observed Sometimes Consistently Reads and interprets concrete graphs and pictographs. (Activities 1–4) Sorts objects using one attribute. (Activities 2, 4) Collects and organizes data. (Activities 2-4) Displays collected data on pictographs or concrete graphs. (Activities 2-4) Formulates and answers questions about graphs. (Activities 1–4) Compares data shown on graphs. (Activities 1–4) Uses math language when describing and comparing data. (Activities 1–4) Strengths: Next
COPYRIGHT NOTICE Copyright © 2013, Globe Software Pty Ltd, All rights reserved. TRADEMARKS Dynamics AX, IntelliMorph, and X++ have been registered as or are under registration as trademarks of Microsoft Corporation. Microsoft Office System 2010, Microsoft Office System 2007, Windows 2003 and Windows 2008 are registered trademarks of Microsoft Corporation. SOFTWARE RELEASE This documentation accompanies Atlas version or higher and which is suitable for Microsoft Dynamics AX V4.0 SP2, Dynamics AX 2009 SP1 and Dynamics AX 2012 or higher and Microsoft Office 2007 or higher. PUBLICATION DATE 10 June 2013 READER COMMENTS Any comments or suggestions regarding this publication are welcomed and should be addressed to the attention of: support@globesoftware.com.au
Option Here you… Comment Company Select the target company you wish this journal to be posted into. E.g. CEU Description Enter a short description of the journal E.g. Opening Balances 2013 Date a year end date E.g. 30/06/2012 Voucher series Enter a number sequence you wish to use as a voucher Journal series Enter a number sequence you wish to use as a journal Main Account Enter Natural Account code for each account that appears in the Trial Balance Paste this list from your re-coded trial balance Legacy account (Description) Enter the legacy system’s account code in this column Paste this list from the legacy system’s trial balance. This provides a useful cross reference and can be used in reconciliation between systems Type Select Ledger Currency Enter a currency code to match that of the base currency of the ledger E.g. USD Rate Enter an exchange rate. E.g. 100 or 1 Enter the debit amount for this transaction Leave blank if credit Credit Enter the credit amount for this transaction Leave blank if debit Document a reference for this transaction E.g. FY2012 Document date Enter a year end date E.g. 30/06/2012 or leave blank Financial dimensions Enter dimension codes to suit each main account Paste values from the re-coded trial balance Upload this into Microsoft Dynamics AX. Option Here you… Comment Atlas ribbon Select Journal Ensure mode is Standard Document template list Tick to select Year End Trial Balance Journal Confirmation tab Double-click to open Confirmation tab Click to select Upload This sends the journal to Microsoft Dynamics AX. If it is successfully loaded, the journal number in cell I5 is updated and the number of records, along with the journal number is shown in the template confirmation tab.
Your Choice. Providing your Job Application Data is voluntary. However, if you choose not to provide all of the data that is requested in submission of your application, our ability to consider you as a candidate may be limited. For what purposes will Job Application Data be used? The Job Application Data you provide will be used to assess your application for employment at NCBA, to verify your information and conduct reference check and to communicate with you about the role you have applied for. If you are offered and accept employment with NCBA, the information collected will become part of your employment record and will be used for employment purposes. How long will we keep your data? Your Job Application Data is stored in our applicant’s folder for six months after a successful candidate has been appointed. You can access your Job Application Data, correct it or delete it at any time within this six month period, as detailed below. Your Rights. You can access your Job Application Data, ask us to correct it or delete it at any time by contacting the Organisational Development Manager on 01670 514316. If you would like further information regarding the processing of your Job Application Data and NCBAs general Privacy Policy, email . Your Consent. By submitting your Job Application Data and signing your Job Application Form you are granting your consent to the processing of that information in accordance with this Privacy Statement.
Is the data stored securely? No action necessary Update storage protocol in line with Data Protection policy Does the original reason for having the data still apply? Continue to use Delete or remove data Is the data being used for its original intention? Continue to use Either delete/remove or record lawful basis for use and get consent if necessary Is there a statutory requirement to keep the data? Keep the data at until the statutory minimum no longer applies Delete or remove the data unless we have reason to keep the data under other criteria. Is the data accurate? Continue to use Ask the subject to confirm/update details Where appropriate do we have consent to use the data. This consent could be implied by previous use and engagement by the individual Continue to use Get consent Can the data be anonymised Anonymise data Continue to use Statutory Requirements Data stored by [Group name] may be retained based in statutory requirements for storing data other than data protection regulations. This might include but is not limited to: Gift Aid declarations records Details of payments made and received (e.g. in bank statements and accounting records) Trustee meeting minutes Contracts and agreements with suppliers/customers Insurance details Tax and employment records Member data When a member leaves [Group name] and all administrative tasks relating to their membership have been completed any potentially sensitive data held on them will be deleted – this might include bank details or medical data Unless consent has been given data will be removed from all email mailing lists
(15 minutes) Quality results Diabetes: good control results : trend noted in 1st quarter results 5 P. Hollmann J. Buechner (5 minutes) Next Meeting/Next Steps Next meeting scheduled for Tuesday, June 6 2017, Healthcentric Advisors, 235 Promenade Street, Providence RI Suite 500 ACTION ITEM LOG Date Added Action Number Assignee Action /Status Due Date Date Closed
North West Leicestershire District Council Waste Services Privacy Notice This notice explains the information that we collect from you, what we do with it, and who it might be shared with. we refer to “the Council”, “we” or “us” we mean North West Leicestershire District Council – the Data Controller Where we refer to “you” or ”your” we mean you as the individual(s) providing us with your data – the Data Subject. What is personal information? Personal information can be anything that identifies and relates to a living person. It can include details such as names, addresses and date of birth amongst other things. What lawful basis do we have to collect your data? Under Article 6(1)(e) of the GDPR, we are permitted to use data for our tasks. What information do we collect from you? When you fill out information given to the Council, we will collect name, address, telephone number, email address, D.O.B, medical condition, no. of occupants in a property, benefit reference number, images, and bank details. Why do we collect this information? Name – to identify the person making a request for service Address – to identify the location requiring the request for service Telephone number – to be able to contact a resident regarding a request for service E-mail address – to be able to contact a resident regarding a request for service D.O.B – to establish if there is a requirement for an assisted collection or an additional domestic black bin. Medical condition(s) - to establish if there is a requirement for an assisted collection or an additional domestic black bin. No. of occupants in property – to determine the refuse capacity residents are eligible for. Benefit reference number – to determine if a resident(s) is eligible for a free bulky waste collection Images – captured by our operatives on work mobile devices i.e. iPads to identify if there is an issue with a waste collection, e.g. contamination in a garden bin. Bank details – required if a resident admits to damaging their own domestic bin or garden bin as there’s a charge for replacement. Also there’s a charge for providing a commercial waste collection to businesses.
APPENDIX B: LIST OF KEY ELECTRONIC INFORMATION ASSETS System Name Host Department Role Information Asset Owner Information Asset Administrator PAS IT Patient administration system Trust Wide IT Operations Manager – Clinical Applications PACS Radiology Radiology picture archive & reporting system General Manager, Clinical Support Services CSC Radiology IT PACS RIS Manager CRIS Radiology Radiology information system General Manager, Clinical Support Services CSC Radiology IT PACS RIS Manager Apex Pathology Pathology information system General Manager, Clinical Support Services CSC Pathology IT & Data Quality Officer ICE Corporate TBC - PR Medical Director IT Operations Manager – Clinical Applications Oceano ED Unscheduled care information system General Manager, Emergency CSC ED Operations Manager VitalPAC Corporate Patient observation system Managed through a specialist group IT Operations Manager – Clinical Applications EPRO Corporate Digital dictation solution General Manager, Clinical Support Services CSC EPRO Systems Administrator APPENDIX C: LIST OF LOCALLY CRITICAL ELECTRONIC INFORMATION ASSETS System Name Host Department Role Information Asset Owner Information Asset Administrator Tomcat Cardiology Cardiac investigation information system General Manager, Medicine CSC Cardiology Administration Manager Infoflex Oncology Cancer information system General Manager, Surgery & Cancer CSC Cancer Pathways Manager JAC Pharmacy Pharmacy information system General Manager, Clinical Support Services CSC Pharmacy IT Lead Technician ARIA Oncology Radiotherapy information system General Manager, Surgery & Cancer CSC Radiotherapy System Admin and Information Manager Diabeta3 Diabetes Diabetes information system General Manager, Medicine CSC Diabetes Dept. Administrator
HICSS (EMIS) Gastroenterology Endoscopy information System General Manager Medicine CSC Endoscopy Practitioner HICCS (Ascribe) Ophthalmology Eye Casualty information system General Manager Head & Neck CSC Senior Clinical Manager, Ophthalmology Protos Maternity Maternity information system General Manager, Women’s & Children’s CSC Maternity Data and Administration Manager Proton information system General Manager,, Renal & Transplantation CSC Renal IT Analyst Lead Theatreman Theatres Theatres information system General Manager, CHAT CSC Theatres Information Officer Ward Watcher Critical Care Critical Care Information System General Manager, CHAT CSC Critical Care Systems & Development Manager Bedview TBC Bed management system TBC TBC APPENDIX D: INFORMATION ASSET DATA QUALITY ASSURANCE REPORT TEMPLATE Data Quality Steering Group Information Asset Data Quality Assurance Report Information Asset Written By Presented By Data Quality Steering Group Date Key points for the Group to note (e.g. open data quality risk forms, data quality issues raised at local meetings etc.)
Dimension Quality Dimensions Description Example of Non-Quality Data Completeness (Features) How well the dataset captures all of the features it is intended to represent. The # of features in geometry matching the existing number of features Positional Accuracy Describes how close the locations of objects represented in a digital dataset correspond to the true locations for the real world entities The river feature is within + or – 10 feet of where it is actually located. (Normally stated in a +/- factor in some unit of measure ) Logical Consistency The presence, absence or frequency of inconsistent data Comparison of feature data in one layer compared to another. Roads do not normally go through large lakes. Attribute Accuracy Summarizes how different the attributes are from the true values. Geometric Accuracy (Raster) Defines whether the geometry of a raster data set is located correctly in terms of a pixel or cell location. Radiometric Accuracy (Raster) Described as the pixel values for each cell that are collected for each band of digital imagery. Sample Data for Practice
Provide any additional information: Part C - Once data collection is complete, where will it be transmitted, processed, and stored If sharing data outside Pitt/UPMC, contact the Pitt Office of Research at as a Data Use Agreement or Contract may be required Server Pitt CSSD NOC Managed Server Pitt Department Managed Server UPMC Managed Server Other (describe): Cloud File Storage Pitt Box Pitt OneDrive/SharePoint Online UPMC My Cloud Other (describe): Any computers (laptops or desktop PCs) or devices (tablets, mobile devices, portable storage devices) used to access data stored on systems identified in questions 1 or 2 above Pitt owned desktop or laptop, or other device UPMC desktop or laptop, or other device Personal desktop or laptop, or other device Will research data be stored on the computer or device Yes No If Yes, what product is used to encrypt data? Is anti-virus software installed and up to date? Yes No If Yes, what product and version? Is the operating system kept up to date with Windows or Apple updates? Third-party collaborator or sponsor: Provide any additional information: Part D - During the lifecycle of data collection, transmission, and storage (DSR required if identifiable, limited data set, or coded data is shared with external site)
Orange Juice Price (price to make the orange juice) Health (what essential vitamins are found in the juice) Environment (what impact does the container have on the environment) Taste (based on blind taste test; scale of 1-10 (10 great-1 bad) Tangy Manny $50 gallon 6 essential vitamins 100% recycle material 7 Orange Tart $15 liter 5 essential vitamins 100% recyclable material 9 Orange Explosion $10 quart 2 essential vitamins Container cannot be recycled 5 Orange Party $2.80 cup 7 essential vitamins Container cannot be recycled 5 Happy Oranges $5.50 pint 2 essential vitamins Container cannot be recycled 6
Data set 1 This is a Student Survey form Stuffy Types Type of animal liked by the students (1-5 points) Feels- soft-softest (1-10 points) Durability- How weak- strong the material (1-10 points) Volume- How many tennis balls do each Stuffy hold? Points based on the number of tennis balls each Stuffy can hold. Cat 4 6 4 21 tennis balls Dog 5 7 8 25 tennis balls Bear 1 4 10 19 tennis balls Unicorn 3 9 6 30 tennis balls 2 3 2 20 tennis balls This is a Student Survey form
Average Specimen Height (nearest 0.01 in.) (5) Marshall Stability and Flow (T245/D6927): Mark the Box at the Right to Show the Method Used – T245 , D6927 Stabilities for Individual Specimens Sample 69 (A) Sample 70 (B) (a) Stability (nearest lbf) (a) (a) (b) Stability (nearest lbf) (b) (b) (c) Stability (nearest lbf) (c) (c) Average Marshall Stability (nearest lbf) (6) Flow for Individual Specimens Sample 69 (A) Sample 70 (B) (a) Flow (nearest 0.01 in., see instructions) (a) (a) (b) Flow (nearest 0.01 in., see instructions) (b) (b) (c) Flow (nearest 0.01 in., see instructions) (c) (c) Average Marshall Flow (Measure to the nearest 0.01 in., but move the decimal two places to the right and report the results as a whole number. For example, report a flow of 0.12 inches as “12”.) (7) Hammer: Mechanical , Manual ; If Mechanical, Calibrated? Yes , No If Calibrated, Number of Mechanical Blows equal to 75 Manual Blows: _________; Flat Face , Slanted Face Mechanical Device: Manufacturer ________________, Model _____________; Rotating Base , Stationary Base Please report the following information to identify your laboratory: Name: Lab Number: City, State, Country: Submitted by: Phone:
Technical Information / Data Sheet Design: USB wall-mounted jack type A on internal connector type A Description: For extending the internal enclosure interfaces – e.g. from industrial PCs and switches – up to the outside of the enclosure. The wall connection only needs the same space as a switch. Benefits: Rapid access for maintenance work The protection category of the enclosure is preserved The lock nut cuts automatically into the thereby creating a conductive connection. Captive protective cap Material: Enclosure: Brass Cover: Aluminium Seal: Polyamide Surface finish: Enclosure: Nickel-plated Cover: Natural anodised Protection category IP to IEC 60 529: IP 66/67 with the protective cap closed Dimensions: Length: 1 m For material thicknesses: 1 mm - 6 mm of: 1 pc(s). Weight/pack: 0.1 kg EAN: 4028177516328 Customs tariff number: 85369095
In the rare case that after at least four (4) attempts contact with the participant or a proxy could not be established, and no information regarding vital status can be obtained from any source, then the “To today” date in Q2 should correspond to the date the form is completed. Q3 should be answered No, Q4 Unknown, and Q5 No, with reason in Q5b. Skip sections B, C and D. F1 submission under this context should be as a last resort, after all reasonable attempts to contact the participant and/or obtain vital status information via medical records or elsewhere have failed.
5011 €2.30 5012 €2.45 5013 €2.75 5021 €1.95 5022 €2.10 5023 €2.35 5031 €1.95 Your complete table should now appear like this Code Item Size Quantity Cost Home Sell 25cl 250 €1.55 Yes €2.85 35cl 350 €1.75 No €3.05 45cl 475 €1.95 Yes €3.35 20cl 400 €1.25 Yes €2.30 25cl 600 €1.35 No €2.45 30cl 850 €1.45 Yes €2.75 1800 €1.05 Yes €1.95 140mm 920 €1.15 No €2.10 650 €1.26 No €2.35 150mm 1025 €1.05 Yes €1.95 Add the following records to the table. Code Item Size Quantity Cost Home Sell 20cl 150 €1.05 Yes €3.05 100mm 200 €0.85 Yes €1.50 Change the following records to reflect the new numbers Code Item Size Quantity Cost Home Sell 25cl 200 €1.55 Yes €2.85 35cl 290 €1.75 No €3.15 Delete the following records 30cl 850 €1.45 Yes €2.75 120mm 1800 €1.05 Yes €1.95 140mm 920 €1.15 No €2.10 Print out the table with all the changes made
Please confirm if you are utilising desktop virtualisation technologies and if so how many users do you provide services for Citrix and 2100 What backup software do you use EMC and Veem How much data do you backup in TB 600TB Number of servers 2000 What Operating system do you use? Redhat Linux, Windows Server, IBM AIX, HP OpenVMS. Number of Virtualised servers? 1800 What percentage of your environment is virtualised? 90% If you outsource your IT works, please provide who it is with and when the contract started and ends We do not outsource any of our services. Please also name all of the IT that you work with and buy from, as well as the frameworks that you use for the release of any tenders etc
DATE Dear XXXXXXXXXXXXX, Data Amendment Request Response you for submitting a request to have some data we hold in relation to your child amended. The outcome of the request is as follows : Decision Description Reasons for Decision Next Steps We have accepted your request to amend your data. We will direct the relevant staff to undertake the relevant changes within 14 working days. We have NOT accepted your request to amend the data we hold. You should speak to the school’s Data Protection officer, who will advise you of your rights in this case. We require some additional information from you in order to evaluate your request. We will direct the relevant staff to contact you within 48 working hours to make arrangements for you to provide the additional information as requested. Yours sincerely, XXXXXXXXXXXXXX Data Protection Officer
In places the Excel function took a range (or a set of ranges,) the DAX function takes a column reference. For example, the function SUM doesn’t take a list of ranges in DAX – it takes a column reference and adds up the values in that column. In places where a function used to return the serial number representing a date, DAX will return the date itself using the date data type. Logical functions AND and OR only allow for two arguments in DAX. CONCATENATE has the same limitation. To get around this limitation, we recommend using the operators instead of these functions as shown here: AND && OR || CONCATENATE & Here are the Excel functions supported in DAX by Category: Date and Time DATE DATEVALUE DAY EDATE EOMONTH HOUR MINUTE MONTH NOW SECOND TIME TIMEVALUE TODAY WEEKDAY WEEKNUM YEAR YEARFRAC Information ISBLANK ISERROR ISLOGICAL ISNONTEXT ISNUMBER ISTEXT Logical AND IF IFERROR NOT OR FALSE TRUE Math and Trig ABS CEILING, ISO.CEILING EXP FACT FLOOR INT LN LOG MOD MROUND PI POWER QUOTIENT RAND RANDBETWEEN ROUND ROUNDDOWN ROUNDUP SIGN SQRT SUM SUMSQ TRUNC Statistical AVERAGE AVERAGEA COUNT COUNTA COUNTBLANK MAX MAXA MIN MINA Text CONCATENATE EXACT FIND LEFT LEN LOWER MID REPLACE REPT RIGHT SEARCH SUBSTITUTE TRIM UPPER
payment methods are qualitative data times, these have been converted to quantitative data type by assigning numerical values to it. Type of Customer 1 - Promotional 2 - Regular 3- Walk In Method of Payment 1 - Visa 2 - Globuy Charge Card 3- Master Card 4- AMEX Engine Type Total Diesel 36 Gasoline 37 Grand Total 73 Method of Payment Type of Customer Visa Globuy Charge Card MasterCard AMEX Grand Total Promotional 21 0 12 3 36 Regular 0 37 0 0 37 Walk In 11 0 9 7 27 Grand Total 32 37 21 10 100 The above table has been created in MS Excel, after applying the formulas. The analysis states that the least used payment method is AMEX, while Globuy Charge Card is most widely used payment method. Another interesting finding is that only regular customers are using the Globuy Charge Card. The promotional customers are mostly using the VISA card as payment method. Recommendation The statistical analysis of the data revealed several facts. The dataset is positively skewed; hence management should expect most of the sales with in the $ 150 mark. The walk in customers are providing highest sales per customer, hence management should focus on increasing the number of walk in customers. Incidentally, at present the walk in customers are lowest in number. Company can also focus on the Visa card and Globuy Charge card holders, in order to generate more revenue. This statement is supported by the analysis that the most of the existing customers of Markole Stores are using these cards. Company has advertising on the target audience having these cards.
Criteria Essential Requirements necessary for safe and effective performance in the job Desirable Where available, elements that contribute to improved / immediate performance in the job Qualifications Educated either to a degree level in a relevant subject, or previous experience in a relevant field Training and/or qualification (formally or through extensive experience) to undertake statistical calculations using Excel to an advanced level Educated to either a degree level or equivalent in a relevant subject Experience of using Salesforce Intermediate or advanced skills in VBA for Excel – able to write/debug macros that provide dynamic, accurate solutions to automate manual tasks Experience Experience in data processing Experience in data analysis Experience in quantitative research methods Experience of working in an environment that requires confidentiality Experience of working in an environment that is health and safety conscious Experience in applied research methods Experience of working in a similar role in a charity A track record of successful working with colleagues Experience in report writing Experience in training delivery Skills, Knowledge and Abilities Knowledge of applied research methods Good analytical skills in quantitative data Good communication skills Good numerical skills Ability to contribute to the production of accurate reports Ability to be well organised and plan and prioritise own workload Ability to work with a high level of initiative Excellent working knowledge of MS Office Knowledge of current Data Protection legislation Knowledge of health, social care, criminal justice, housing Presentation skills
Demonstrated participation as an influential contributor to activities carried out by bodies such as standardisation organisations, funding agencies and other governmental / non-governmental organisations (essential for the appointment at Established Chair level). The appointment will be made at the of established professor or personal professor, depending on the experience of the successful applicant. The appointment will be made within the provisions of the Employment Control Framework. For informal enquiries, please contact Prof. Gerard Lyons, Dean of College of Engineering & Informatics. Email or telephone: +353 (0)91 493158. Information on the University's Strategic Plan is available at: Salary: Appointments at Personal €121,765.60 p.a. (This appointment will be made in line with current Government pay policy) Appointments at Established level €106,515 to €136,275 (This appointment will be made on the Established Professor scale in line with current Government pay policy) (For pre 1995 public sector entrants in Ireland, the D class Salary rates will apply) Closing date for receipt of applications is 17:00 (GMT) on Thursday, 7th January 2016. It will not be possible to consider applications received after the closing date. vetting may/will apply. Appointments will be conditional on work authorisation validation. Further details are available at For more information and Application Form please see website: Applications should be submitted online. Please note that appointment to posts advertised will be dependent upon University approval, together with the terms of the Employment Control Framework for the higher education sector. National University of Ireland Galway is an equal opportunities employer. BACKGROUND Insight at NUI Galway is focused on Semantic Web and Linked Data Research and is one of the largest groups in the world focusing in these areas with over 120 people and more than €60M in research funding in the last 10 years. Insight at NUI Galway is dedicated to research aimed at enabling and exploiting Networked Knowledge
PARISH DATA AUDIT Getting ready for GDPR Review all your databases, email lists, spreadsheets, paper documents and other lists of personal data. If there are any issues, identify what you need to do. If action is not clear, then highlight questions needing further insight. New consent forms, privacy notices, and new or revised policies or procedures may need to be implemented to ensure compliance with GDPR. Description Why is the data held and what is it used for Basis for processing data (e.g. consent, legal obligation etc) Who holds the data and who can access it? What security controls are in place? How long is data kept for? Is this covered by our privacy notice? ACTION REQUIRED Example: Gift Aid Declarations For claiming Gift Aid Legal obligation Held by Gift Aid Officer. Also accessed by treasurer Paper declarations kept in a filing cabinet. Spreadsheet on PC. Six complete calendar years after last gift claimed on the declaration Yes Password protect the spreadsheet
PARISH DATA AUDIT Getting ready for GDPR Review all your databases, email lists, spreadsheets, paper documents and other lists of personal data. If there are any issues, identify what you need to do. If action is not clear, then highlight questions needing further insight. New consent forms, privacy notices, and new or revised policies or procedures may need to be implemented to ensure compliance with GDPR. Description Why is the data held and what is it used for Basis for processing data (e.g. consent, legal obligation etc) Who holds the data and who can access it? What security controls are in How long is data kept for? Is this covered by our privacy notice? ACTION REQUIRED Example: Gift Aid Declarations For claiming Gift Aid obligation Held by Gift Aid Officer. Also accessed by treasurer Paper declarations kept in a filing cabinet. Spreadsheet on PC. Six complete calendar years after last gift claimed on the declaration Yes Password protect the spreadsheet
Within 48 Hours Within 72 Hours Beyond 72 Hours ANNEX B – Data Breach Summary Report [To be completed & returned ASAP but no than 24 hours of incident being identified] [Complete electronically] Investigating Officer Team & Division Phone ext Date & time Identified Please describe the incident (what has happened?):
Document management: Review cycle: Every two years Next review due: May 2020 Policy owner Head of HR TTCT Appendix A DATA BREACH NOTIFICATION FORM When did the breach occur (or become known)? Who was involved? Who was this reported to? Date and time it was reported Date and time DPO notified A description of the nature of the breach. This must include the type of information that was lost, e.g. name, address, medical information, NI numbers. The categories of personal data affected e.g. electronic, hard copy Approximate number of data subjects affected. Approximate number of personal data records affected Name and contact details of the Data Protection Officer / GDPR Owner. Consequences of the breach. What are the potential risks? Any measures taken to address the breach. What actions and timeline have been identified? Any information relating to the data breach Appendix B BREACH MANAGEMENT FLOWCHART
10 Total_InternalAdmin Dollar amount of total avoidable, internal costs associated with administering health benefits during Fiscal Year 2011 – 2012. Include only costs that your district incurs internally in administering employee health benefits AND not otherwise be incurred if your district did not perform any such employee health benefit administration. Enter 0 if none. Required 11 Desc_InternalAdmin Narrative describing the administration costs reported in Total_InternalAdmin (above). In other words, explain how your district calculated this number. Required if (above) is not 0 12 Total_OtherCosts Dollar amount of other costs during Fiscal Year 2011 – 2012, where other costs are defined as those associated with providing medical benefits to active employees, where such costs are not included in Total_Premiums above or in administrative expenses/fees reported below. Examples of other costs are the ‘retiree carve out’ or ‘retiree subsidy’ (fees paid on behalf of active employees with medical benefits for retiree medical programs). Do not include payments for non-medical benefits (e.g. Long Term Disability, Vision, Dental) or COBRA payments. Enter 0 if none. Required 13 Desc_OtherCosts Narrative describing the costs reported in Total_OtherCosts (above). In other words, identify the costs that are included in the Total_OtherCosts total. Required if Total_OtherCosts (above) is not 0 Rows 14 – 20 contain narratives describing various kinds of efforts, achievements and progress. All of these should be in reference to calendar year 2012. For further discussion of date ranges please see the material under the sub-heading ‘Date Ranges’ within the Introduction (above). 14 Desc_Affordability Narrative describing progress by your district towards greater affordability for full family coverage. Required 15 Desc_CostSavings Narrative describing progress by your district towards health care cost savings. Required 16 Desc_ReducedAdmin Narrative describing progress by your district towards significantly reduced administrative Required
DATA CHAMPIONS NETWORK Membership as at December 2018 Entity Name Attorney-General's Department Stephen Andrew Australian Bureau of Statistics Marcel van Kints Australian Competition and Consumer Commission Leo Exarhos Australian Institute of Health and Welfare Geoff Neideck Australian National Audit Office (ANAO) Jocelyn Ashford Australian Prudential Regulation Authority Katrina Ellis Australian Public Service Commission Helen Bull Australian Securities and Investments Commission John Wallace Australian Taxation Office Nadine McBain Australian Trade and Investment Commission (AUSTRADE) Nick Woodruff Australian Transaction Reports and Analysis Centre (AUSTRAC) Hanlon Australian Transport Safety Bureau Colin McNamara Bureau of Meteorology Anthony Rea Clean Energy Regulator Mary-Anne Wilson Data61 Dana Sanchez Department of Agriculture and Water Resources Hatfield-Dodds Department of Communications and the Arts Leonie Holloway Department of Defence Cheryl Durrant Department of Education and Training Gabrielle Phillips Department of Environment and Energy Greg Terrill (Chair) Department of Finance Gareth Hall Department of Foreign Affairs and Trade Cate Rogers Department of Health Shane Porter Department of Home Affairs Steve Davies
Data Collection Sheet: Pharmacy Change4Life ’Train Like A Jedi’ Campaign: August 2018 Pharmacy name: Address: Please record the basic information for each individual receiving intervention / advice during the campaign: No. Gender (M / F) Age 1- 18 2 – 19-29 3 – 30-39 4 – 40-49 5 – 50-59 6 – over 60 Type of intervention 1 – None 2 – Info advice / Guidance / Leaflets 3 – Referral to GP or local physical activity / lifestyle service if concerned about lack of activity / weight or other lifestyle factors
DATA SHEET Please turn in one completed data sheet per group before leaving lab. Bushkill Creek @Jacobsburg State Park Sampling site mean current velocity: __________ Depth: __________ Physicochemical characteristics of Bushkill Creek @ Jacobsburg. Temperature (˚C) pH Dissolved oxygen (mg/L) Conductivity (uS/cm) Alkalinity (mg/L as CaCO3) Nitrate (mg/L as N) Table 1. Macroinvertebrates identified in Bushkill Creek @ Jacobsburg. Macroinvertebrate Order/Family/Genus Tally
DATA SHEET Bushkill Creek @ Penn Pump Park Sampling site mean current velocity: __________ Depth: __________ Physicochemical characteristics of Bushkill @ Penn Pump Park. Temperature (˚C) pH Dissolved oxygen (mg/L) Conductivity (uS/cm) Alkalinity (mg/L as Nitrate (mg/L as N) Table 2. Macroinvertebrates identified in Bushkill Creek @ Penn Pump Park. Macroinvertebrate Order/Family/Genus Tally
Part A: Availability of data from customer trials Availability of data from customer trials is described in the table below. Test Cell Description Customer Type Low Carbon Technology or tariff Approximate Customer Numbers TC1a profiling of domestic smart meter customers Domestic None 8798 TC1b Basic profiling of small and medium sized enterprise (SME) customers SME None 1783 TC2a Enhanced profiling of domestic smart meter customers Domestic None 199 TC3 Enhanced profiling of domestic customers with air source heat Domestic Heat Pump 89 TC5 Enhanced profiling of domestic customers with solar photovoltaics (PV) Domestic PV 155 TC6 Enhanced profiling of domestic customers with Electric Vehicles (EVs) Domestic Electric Vehicle 144 TC9a Domestic smart meter customers on time of use tariffs Domestic Time of use tariff 665 TC20 Auto Domestic solar PV customers with automatic in-premises balancing for hot water charging Domestic PV 98 TC20 IHD Domestic solar PV customers using displays for manual in-premises balancing Domestic PV 147 Trial home trial
Temperature Data Temperature data is available for test cell 3: enhanced profiling of domestic customers with air source heat pumps. Temperature Data: Test cell 3 heat pump temperature data Field Name (spread sheet column) Comments Location ID Unique and anonymous ID of the location. Measurement Description There are two types of measurements: ‘External temperature’ and ‘Zone 1 temperature’. Parameter Type and Units All values are ‘Temperature [degrees Celsius]’. Date and Time of capture In form ‘DD/MM/YYYY hh:mm:ss’ Parameter Single with up to 3 decimal places. SubGroups Data Sub-group data is available for test cell 1b: Basic profiling of small and medium sized enterprise (SME) customers. Data: SME Field Name (spread sheet column) Comments Sub Group This indicates the demographic sub-group of which the location is a member. There are 28 SME customer groups varying in single vs. multi-site, tariff, size and sector. Test Cell ID All customers belong to TC1b. The locations are defined independently in this mapping and so membership of a multi-site organisation is not indicated in any of the data. In/Out region This indicates whether a customer is in or out of Northern Powergrid’s region. ‘1’ indicates in-region and ‘2’ indicates For some test this is not important and the value may be left as zero (undefined). Data Valid Start Date This is date of the first day’s data that can be used for analysis. This allows for the fact that customers joining and leaving dates may not coincide directly with the trial monitoring data.
Nearest neighbor analysis Logistic and multinomial regression Classical methods Hotelling’s T2 provides a multivariate extension to a Multivariate analysis of variance (MANOVA) provides a multivariate extension to analysis of variance (ANOVA). Data matrices and vectors Notation: p = number of numerical variables of interest N = number of experimental units on which the variables are being measured xrj = of the jth variable on the rth experimental unit for r = 1, …,N and j = 1, …, p X = data matrix - xrj are arranged in matrix form so that xrj is the rth row and jth column element of X; rows represent experimental units and columns represent variables. X has dimension Np = vector of data for the rth experimental unit = [xr1, xr2, …, xrp] = “transpose” of
> #Contour plot – purposely made x and y-axes the same length so that one can judge variability > par(pty = "s") > contour(x = x1, y = x2, z = fx, main = "Multivariate normal", xlab = expression(x[1]), ylab = expression(x[2]), xlim = c(10,20), ylim = c(15, 25)) > #panel.first = grid() does not work quite right with contour() so used abline() instead > abline(h = 17:23, lty = "dotted", col = "lightgray") > abline(v = seq(from = 12, to = 18, by = 2), lty = "dotted", col = "lightgray") To rotate the plot, hold your left mouse button down while you move the mouse. To zoom in on the first plot, hold your right mouse button down while you move the mouse. Examine the following: surface is centered at . surface is wider in the x2 direction than in the x1. This is because there is more variability. the shape of the surface – The contour plot is an ellipse and the surface plot looks like a 3D normal curve. underneath the surface is 1. Note that the 3D plot is not in the graphics window. In to get the plot into Word, I used the Windows’ Snipping Tool. Suppose = and . The only change from the previous example is that 22 has increased. Note that . are 3D
ch 54.68 27.98 lt 32.96 41.50 cy 42.37 27.99 lu 74.32 25.10 cz 42.22 32.20 lv 41.46 31.30 de 56.10 24.50 mt 32.24 22.00 dk 68.50 39.00 nl 53.43 27.98 ee 37.10 26.80 no 29.40 13.67 es 41.40 32.00 pl 40.63 28.00 fi 32.61 16.80 pt 51.40 23.40 fr 37.35 27.98 ro 49.11 31.20 gb 28.19 22.40 se 31.12 21.20 gr 37.68 24.50 si 49.97 20.00 hu 41.09 28.50 sk 51.10 52.00 IEA has data for domestic losses in 2009. In the model it is assumed that the transport losses associated with the industry sector are 2 % and the residual loss is allocated to the household and service sector.
Solent Mind - Role Description for Volunteer Role Title: Data Entry Volunteer Location: Black Horse House – Eastleigh When: Ongoing Commitment required: Minimum of two shifts per week. Shifts available: Monday-Thursday 09.00-12.00 Monday – Thursday 4.00-6.00pm Requirements: Processing and entering referrals onto database Main Responsibilities To support the Data Entry Assistants with inputting of referrals received via our website, from GP’s or other professionals onto our database IAPTus. To flag and send referrals as appropriate for screening by our clinical team. To liaise with GP surgeries and other healthcare professionals as appropriate with regards to missing patient information. An understanding of confidentiality is vital in this volunteer role as you will be dealing with sensitive patient information. What’s in it for you? This is an excellent opportunity for someone who is keen to work in an IAPT service in the future as well as someone who is interested working within an office environment and gain administrative experience. You will also have the opportunity to learn about the wider work of italk and about the national and local issues affecting psychological therapies as the Hampshire service develops and is shaped accordingly. You would be volunteering in a rewarding and interesting role which will enable you to gain a unique insight, knowledge and understanding of the italk service.
Document control APPLIES TO All departments and Victoria Police AUTHORITY Chief Information Officers Leadership Group PERIOD 2017 – 2020 ADVISED BY Enterprise Solutions Department of Premier and Cabinet ISSUE DATE May 2018 DOCUMENT ID IM-DEX-01 REVIEW DATE May 2020 VERSION 1.0 Approval This document was approved by the Chief Information Officers Leadership Group under the authority of the Victorian Secretaries Board on 07/05/2018 and applies from the date of issue. Version history Version Date Comments 0.1 05/03/2018 First draft for review by working group and the WOVG IMG 0.2 20/03/2018 Feedback from working group incorporated 0.3 22/03/2018 Additional feedback from working group incorporated 0.4 16/04/2018 Feedback from WOVG IMG and editorial review 1.0 07/05/2018 Approved by CIO Leadership Group Except for any logos, emblems, trademarks and contents attributed to other parties, the statements of direction, policies and standards of the Victorian Government’s Victorian Secretaries Board or CIO Leadership Group are licensed under the Creative Commons Attribution 4.0 International licence. To view a copy of this licence, visit .
8 – - Select NEXT >. 3 – - 8) FIELD DESCRIPTION Country of birth * Select or scroll through the list of countries to populate the field. Alternatively, type the first few letters of the country and it will go to that section of the list. Main language spoken at home * Select or scroll through the list of languages to populate the Alternatively, type the first few letters of the language and it will go to that section of the list. Is the client of Aboriginal or Torres Strait Islander origin?* Select as the client identifies from the drop down list. Impairments, conditions or disabilities * Tick the box(s) as the client identifies. More than one box can be selected. Select None If the client has not identified as having impairment or chooses not to disclose that information. Medical documentation is not required. More information about which disabilities and impairments fall into which categories can be found in the Data Exchange Protocols. Enter extended demographics The Add a client – Extended demographics screen will display. Refer Figure 9. Providing responses to this information is optional. However, if provided this information will improve the reports available to your organisation. 9 – – 4) Select < Back to edit information. Scroll down the page and select if you are satisfied with the information. If you chose to not include this additional data, the Save & Next button will not be available. Press to progress to the final screen. 4 – – 9) FIELD DESCRIPTION
Homeless Indicator Select the most appropriate option as to the client’s current housing situation, including if the client is at risk of homelessness. The different options are: Yes No At risk Household Composition This field allows you to indicate household composition. This can allow organisations to indicate where services are provided to people living in the same household who may not be related. Highest Level of education/qualifications Scroll through and select from the list of education / qualifications to populate the field. The different options are: Pre-primary education Primary education Secondary education Certificate level Advanced diploma and diploma level Bachelor degree level Graduate diploma level and graduate certificate level Postgraduate degree level Other education Employment status Select the closest description for the client. If the client is undertaking a combination of employment (such as working part-time and studying) select the option that the client identifies as the main status at the time. The different options are: Paid work full-time Paid work part-time Unpaid work (includes volunteering) Not working and not looking for work Unemployed (not working but looking for work) Studying full-time Studying part-time Caring Parenting Main source of income Select the closest description for the client. If the client receives income from multiple sources (e.g. Wages and Government Payment), select the one that they receive the highest amount of income from. Approximate gross income (income whole dollars only) Include whole dollars only if provided by client.
9 – SCORE - Select SUBMIT. The Add a SCORE – Finish screen will display. Refer Figure 10. 10 – SCORE - the “What can you do now?” heading, you can Add another SCORE for this client and this activity or Add another SCORE for a different client. When you go to the Find a client screen, the client record will display the icon that indicates that a SCORE assessment has been recorded for this client. Refer Figure 11. 11 - - Method 2 - adding a session When you have completed adding a session the Add a session – Finish screen will display. Figure 12. Select the Session ID hyperlink to start to add a SCORE assessment. 12 – – The Session details screen will display. Refer Figure 13. 13 – Select the Client SCOREs icon. The Add client SCORE screen will display. Refer Figure 14. Select the corresponding SCORE type form the drop down list. 14 - SCORE – SCORE Select the Assessed by drop down arrow to select how the assessment was made. Refer Figure 15. 15 - SCORE - Select SHOW DOMAINS. Refer Figure 16. The domains that relate to the SCORE type will display. For each domain there will be a numerical rating value of 1 to 5. To view a description of the ratings select the definitions hyperlink in the top right hand corner of the domains table. 16 - SCORE – Select SAVE. The Session details screen will display. Refer Figure 17.