zilongwang/ReadingBank huggingface dataset:
% English Literature A-C 100% 3 cands % Maths A-C 2017 % 9 - 4 0 63 cands 2 – 3% 61 cands 8 – 18.75% 48 cans 9 – 15.7% 57 cands % Maths A-G 2017 % Maths 9 - 1 32 – 51% 31 – 51% 40 – 83.3% 53 – 93% % Science A-C 0 43 cands 0 46 cands 2 – 6.4% 31 cands 3 – 5.6% 53 cands % Science A-G 31 – 72% 38 – 83% 29 – 93.5% 45 – 84.9% % Additional Science A - C 100% cand 1 - 50% 2 cands % Additional Science A - G 2 – 100% % Level 2 in Maths skills 5 – 83% 6 cands 0% 1 cand 7 – 64% 11 cands 8 – 61.5% 13 cands % 2 in Eng skills 3 – 38% 8 cands 0% 1 cand 8 – 17% 47 cands 4 – 80% 5 % Level 1 in Maths skills 8 – 22% 37 cands 38 – 52% 73 cands 20 – 47% 43 cands 26 – 54% 48 cands % Level 1 in Eng skills 35 – 61% 57 27- 71% 38 cands 5 – 42% 12 cands 44 – 95.6% 46 cands
Pass (C) 1 – 2.7% Overall pass 24 – 66.6% %GCSE Art and Design – short course A-C 0 17 cands 1 – 14% 7 cands 0 2 cands 1 – 50% 2 %GCSE Art and Design – short course A-G 100% 86% 100% 2 – 100% %GCSE Art and Design A - C 1 – 20% 5 cands 2 – 67% 3 – 40% 5 %GCSE Art and Design A - G 100% 100% 5 – 100% % GCSE Statistics A - G 6 – 100% 6 cands % GCSE Panjabi (spoken) short course A - G 1 – 100% 1 cand – 75% 4 cands % GCSE Urdu (spoken) short course A - C 1 – 100% 1 cand % GCSE Urdu (Written) short course A - G 1 – 100% 1 cand % GCSE Urdu A - C 1 – 100% 1 cand
% GCSE Urdu A - G – 80% 5 cands % GCSE Performing arts A - G 4 – 100% 4 cands % GCSE Physical Education short course A - C 2 - 5.5% 36 % GCSE Physical Education short course A - G 34 - 94.4% 7 – 86% 8 cands % GCSE Physical Education A - G 7 – 100% 7 cands % Pass BTEC L1 Social Media 2 – 100% 2 cands % GCSE PFWL A - C 5 – 18.5% 27 cands L2 2 - 50% 4 cands % GCSE PFWL A - G 25 – 92.5% L1 1 – 25% % GCSE Citizenship A - C 4 – 30.7% 13 % GCSE Citizenship A - G 13 – 100% % Pass 2 AoPE 8
37 cands 73 cands 43 cands 48 cands 39 cands % Level 1 in Eng skills 35 – 61% 57 cands 27- 71% 38 cands 5 – 42% 12 cands 44 – 95.6% 46 30 – 67% 45 % Entry Level 2 in Eng skills 4 – 7 57% % Entry Level 3 in Eng skills 0% 2 cands % Entry level certificate in Adult numeracy 4 - 44.4% 9 cands 1 - 33% 3 STEP UP to English (Silver) 0 4 cands 0 3 cands Entry level Maths L1 – 1 – 10% L2 – 5 – 50% L3 – 4 – 40% 10 %OCR ICT Overall pass – 17 – 100% 17 cands Pass 14 – 82.3% Overall pass – 13 – 37% 35cands Pass 6- 17% ECDL ECDL 36 CANDS L1 9 – 25% L2 ECDL 19 CANDS L1 9 – 25% L2
Merit 2 – 11.7% Dis 1 – 5.8% 6 – 17% Dis 1 – 3% 15 – 41.6% Dist * (A*) 7 – 19.4% Dist (A) 5 – 13.8% Merit (B) 2 – 5.5% Pass (C) 1 – 2.7% Overall pass 24 – 66.6% 6 – 32% Dist * (A*) 1 – 5% Dist (A) 4 – 21% Merit (B) 1 – 5% Pass (C) 1 – 5% Overall pass 15 – 79% %GCSE Art and Design – short course A-C 0 17 1 – 14% 7 cands 0 2 cands 1 – 50% 2 cands %GCSE Art and Design – course A-G 100% 86% 100% 2 – 100% %GCSE Art and Design A - C 1 – 20% 5 cands 2 – 67% 3 cands – 40% 5 cands 2 /6 %GCSE Art and Design A - G 100% 100% 5 – 100% 6 – 100% 6 cands % GCSE Statistics A - G 6 – 100% 6 cands % GCSE Panjabi (spoken) short course A - G 1 – 100% 1 cand – 75% 4
% GCSE Urdu (spoken) course A - C 1 – 100% 1 cand % GCSE Urdu (Written) short course A - G 1 – 100% 1 cand % GCSE Urdu A - C 1 – 100% 1 cand % GCSE Urdu A - G – 80% 5 % GCSE Performing arts A - G 4 – 100% 4 cands % GCSE Physical Education course A - C 2 - 5.5% 36 cands % GCSE Physical Education short course A - G 34 - 94.4% 7 – 86% 8 cands % GCSE Physical Education A - G 7 – 100% 7 cands % Pass BTEC L1 Social Media 2 – 100% 2 cands % GCSE PFWL A - C 5 – 18.5% 27 cands L2 2 - 50% 4 cands
PHA TEAM MEMBER QUALIFICATIONS TABLE Qualification Requirement Team Member(s) Meeting That Requirement Expertise in Engineering: Name: 1. 2. 3. 4. 5. Company: Job Title: Expertise in Process Operations: 1. 2. 3. 4. 5. Experience & Knowledge Specific to the Process Being Evaluated: 1. 2. 3. 4. 5. Knowledgeable in PHA Methodology Employed: 1. 2. 3. 4. 5.
after a warm shutdown is one such circumstance. A warm shutdown generally indicates a process state in which the operation has been stopped in a controlled manner, but the fluids have not been evacuated. from this state is unique to the start-up in other circumstances. Hence, this circumstance merits its own procedure(s). The questions on the right are intended to assist the operator in determining if this type of procedure is necessary. While not comprehensive, if any of the questions are answered affirmatively, this type of procedure is likely necessary. Are other start-up activities following a warm shutdown that are unique to this phase? Normal Operating Procedures For a continuous, steady-state process, the operational requirements occurring between the start-up phase and shutdown phase are intended to be covered under normal operating procedures. Typical activities during this phase Does the process have a steady-state mode of operation between start-up and shutdown? Does the process require process variable monitoring during normal operations? Does the process require sampling during normal operations?
Emergency Operating Procedures An abnormal operation that requires action either in lieu of, or in addition to an emergency shutdown could be defined in an emergency operating procedure. Developing this type of procedure in advance enables the facility to confirm that appropriate action can be taken and prepares the operator for such circumstances. The questions on the right are intended to assist the operator in determining if this type of procedure is necessary. While not comprehensive, if any of the questions are answered affirmatively, this type of procedure is likely necessary. Does the process require continued operation or a unique shutdown procedure when key pieces of equipment fail, such as a pump? Does the process require continued operation or a unique shutdown procedure when a critical utility fails, such as cooling water or instrument air? Does the process require continued operation or a unique shutdown procedure when power is lost (is the process shutdown or reduced based on backup power availability)? Does the process require continued operation or a unique shutdown procedure when critical instrumentation fails? Does the process require the operator to take steps to remediate process upsets and or equipment failures that release hazardous materials to secondary containments? Does the process require the operator to take steps in the event of a PRV or rupture disk activation? Are there other unique activities related to performing emergency operations?
STANDARD OPERATING PROCEDURES (SOPs) DATA FORM – REVIEW TABLE Facility: Process: Date: SOP ID # Title/Description Last Revision Date/# # Note which Operating Phase Addressed (see legend at end of table) Startup Operating Shutdown Safety 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Are procedures developed to address the applicable operating phases (Y, N, NA, U, or P)?
Report – A summary of the data, including alarm status, LogTag identification, configuration data, recorded data, and other information. Step 6 – Review your recordings to verify temperatures were within recommended range for the entire recording period. The Maine Immunization Program recommends viewing the Report tab. Click on the Report Tab on the bottom of the screen. If both Low and High temperatures are OK, indicated by a GREEN CHECKMARK, continue to step 8. Step 7 - If temperatures have been recorded outside of recommended temperature range, Low and/or High temperatures will say FAIL, indicated by a RED X. Scroll further down on the Report page to view the total amount of time temperatures were outside of range. Contact the vaccine manufacturer with this information immediately. You must notify the Maine Immunization Program after speaking with the manufacturer. The Maine Immunization Program will give guidance on how to proceed. Step 8 (MUST BE DONE AT LEAST EVERY 80 DAYS) – Once temperatures have been viewed, the LogTag must be setup for the next use. Click on the Access LogTag button (LogTag Icon) in the upper left corner of the screen. Step 9 – The LogTag access wizard will appear on the screen. Click Next to continue. Step 10 – The LogTag access wizard will automatically locate the LogTag during step # 2.
Maine Immunization Program Tel. (207) 287-3746 Fax (207) 287-8127 To: Maine Immunization Program Providers From: Maine Immunization Program Subject: Thermometers Date: August 7, 2013 The Maine Immunization Program (MIP) is currently undertaking an effort to replace thermometers currently in use by our providers with continuous temperature monitoring devices called “data loggers.” The brand we have purchased is Log Tag. These devices will be distributed along with detailed instructions over the second half of 2013. We realize that some practices may have thermometers with calibration dates due to expire before they are scheduled to receive their Log Tag units. If you have a practice that needs certified calibrated thermometers please direct these calls to Jessica Demers at 207-287-3746 or email . Please note that we do not provide thermometers to nursing facilities. Thank you for your dedication to keeping the citizens of Maine free from vaccine-preventable diseases. Sincerely, Celeste J. Poulin, MPA Health Program Manager/Quality Assurance Maine Immunization Program 286 Water St., 9th Floor Augusta, ME 04330 (P) (207) 287-4466
To add the diagnosis to an Encounter, click the “CPP” box (shown in the following screen) NOTE: Do not check the CPP box if the chronic disease is already in CPP, or today’s date will override date of diagnosis in CPP! Practice Solutions EMR 1- In CPP, look in “Prob” (problem list) if the diagnosis text appears in black, that means the ICD code has been entered but if the text appears in blue color that means the ICD code has not been entered and needs to be added. 2- To code the diagnosis, double on a blue diagnosis (e.g. Diabetes), the following screen will appear. Include patient age or the start date (if known) by putting a check mark in the associated box (see the following screen). This information is very helpful as it tracks how long the patient has had diabetes. 3- Click the “Add” button located at the bottom of the screen 4- In the following screen search for the code by typing the problem in the search box. Select the code and click on the “Choose” button at the bottom of the screen or double click on the code to enter the code (if you know the code, you can enter it at the top, for example 715 for OA). 5- Click on the “Add to List” button at the far right bottom corner of the screen. 6- Sometimes you get warnings like the one in the following screen, indicating that the new diagnosis entered may affect other areas of the patient’s care. 7- Review the warnings; in case any of the warnings require a modification in the patient’s care, click on “Manage” to manage the interaction and then click on the “Add Health Problems” on the bottom right corner of the screen (see the following screen).
APPENDIX – VARIOUS TEMPLATES A - Conversion plan template B - WBS template C – Material Master - Fields selection D - Data conversion specification - Generic template E - Data conversion specification – BOM & Routing Template Samples F - Materials Classes and Characteristics structure I included this as it may be useful to understand, and explain, the structure of “Materials Classes and Characteristics”
Data needed for Mitosis Pie Graphing and Questions: Table 1: Cell Cycle First Area Second Area Third Area Total Number of Cells in Each Phase Example for interphase: 95 + 75 + 84 = ?? Time in Minutes For Each Using Calculation (Total number of cells in a phase/total number of cells counted) x 720 minutes Add a box here to calculate how many wedges to color on pie graph: Time in Minutes for Each Phase/18 minutes = number of wedges to color on graph Interphase 95 75 84 Prophase 13 12 21 Metaphase 5 4 5 Anaphase 1 0 2 Telophase 3 2 4
Data needed for Mitosis Pie Graphing and Questions: Table 1: Cell Cycle Area Second Area Third Area Total Number of Cells in Each Phase Example for interphase: 95 + 75 + 84 = ?? Time in Minutes For Each Phase Using Calculation Above number of cells in a phase/total number of cells counted) x 720 minutes Add a box here to calculate how many wedges to color on pie graph: Time in Minutes for Each Phase/18 minutes = number of wedges to color on graph Interphase 95 75 84 Prophase 13 12 21 Metaphase 5 4 5 Anaphase 1 0 2 Telophase 3 2 4
identification numbers (PINs) or passwords Passport numbers Child welfare and legal information about minors (juvenile justice, foster care and/or adoption) Witness protection information DNA record & profile contained in the State DNA database Dates of birth (if linked to other information about a person) Student education records Trade secrets Employee Identification Number (EIN) of a sole proprietor (SC Freedom of Information Act) Information received from and/or a business (tax information, business plans) Security plans, network architecture, etc. Passwords
Financial account numbers, such as checking or investment account numbers Driver's license numbers Health insurance policy ID numbers Health information, including protected health information (PHI) Passport and visa numbers Export controlled information under U.S. laws Authentication credentials or identity verification information Student class schedules ID card photographs Disciplinary files Admission applications Authoritative copy of directory information as defined by the registrar under FERPA Faculty/staff employment applications, personnel files, benefits information, and birth date Privileged communications Authoritative copy of university schedule of classes Authoritative copy of approved census facts University schedule of classes Approved census facts Once data is classified, data stewards are responsible for applying the university Minimum Security Standards and Guidance which describe the appropriate steps for protecting data based on the data classification. 4. Resources Classifications of University Data (link pending) Classifications of Common University Services (link pending)
6.10) Your right to object to processing. You can object to us processing your personal data on grounds relating to your particular situation, but only as far as our legal basis for the processing is that it is necessary for: the performance of a task carried out in the public interest, or in the exercise of any official authority vested in us; or the purposes of our legitimate interests or those of a third party. If you make an objection, we will stop processing your personal information unless we are able to: demonstrate compelling legitimate grounds for the processing, and that these legitimate grounds override your interests, rights and freedoms; or the processing is in relation to a legal claim. 6.11) Your right to object to direct marketing. You can object to us processing your personal data for direct marketing purposes. If you make an objection, we will stop processing your personal data for this purpose. 6.12) Automated data processing. To the extent that the legal basis we are relying on for processing your personal data is consent, and where the processing is automated, you are entitled to receive your personal data from us in a structured, commonly used and machine-readable format. However, you may not have this right if it would adversely affect the rights and freedoms of others. 6.13) Complaining to a supervisory authority. If you think that our processing of your personal data infringes data protection laws, you can lodge a complaint with a supervisory authority responsible for data protection. You may do this in the EU member state of your habitual residence, your place of work or the place of the alleged infringement. 6.14) to withdraw consent. To the extent that the legal basis we are relying on for processing your personal data is consent, you are entitled to withdraw that consent at any time. Withdrawal will not affect the lawfulness of processing before the withdrawal. 6.15) Exercising your rights. You may exercise any of your rights in relation to your personal data by written notice to us in addition to the other methods specified above. 7) Cookie Policy For information about how we use Cookies please see our Cookie Policy at
Highly Restricted Data Restricted Data Unrestricted Data Access Protocol Master Access Plan If there is an exception it must be approved by the Council Master Access Plan Master Access Plan Transmission Protocol * National Institute of Standards and Technology (NIST) approved encryption is required when transmitting information though the network. * Third party (personal) email services are not appropriate for transmitting this information * Restricted data may be masked instead of encrypted if displaying * NIST- approved encryption is strongly recommended when transmitting information outside ISU network. * Third party (personal) email services are discouraged for transmitting this information No special controls Storage Protocol Data in this category can only be stored in University servers (no desktop, laptop or cloud environment) unless specifically approved by the Stewardship Council. If approved, encryption and/or masking would be required. Encryption of restricted information is strongly recommended if stored in desktops, laptops, thumb drives, or personal devices such as smart phones and other PDAs. Level of required protection of restricted information is either pursuant to ISU policy or procedure (e.g. 9.8.2) or at the discretion of the Stewardship Council. If the appropriate level of protection is not known, check with the Stewardship Council before storing restricted information outside of ISU servers. No special controls Data Disposal reports; Department of Defense (DOD) Level Wipe or destruction of electronic media Recycle reports; Wipe/erase media No special controls unless on equipment (please reference Procedure 9.8.2) Secondary Use – use of the data other than for the requested purpose. Prohibited As authorized by Business Owner As authorized by Business Process Owner External Data Sharing As required by Federal regulations; Illinois Open Records Law; FERPA regulations, and external contracts and agreements As required by Federal regulations; Illinois Open Records Law; FERPA regulations, and external contracts and agreements As authorized by Business Process Owner Auditing (IT Audit Logs) Logins, accesses and changes Logins No special controls Review Annually or as needed Annually or as needed Annually or as needed
Scope of our Charter This Charter sets out our commitment to: Confidentiality Ensuring that we only use personal information that is lawful and legitimate for us to process and that we access to it. Integrity Ensuring that information is of a quality that facilitates good decision making. Availability Ensuring that information is available, when needed. To ensure that these are effectively embedded into our practice, our policies shall apply to: All our business functions. All processes. All data and information that we collect, process or generate. Systems, including those of third parties. People, including contractors, freelance, and other staff including temporary/locum staff. Sanction Failure to comply with our policies or discharge the responsibilities defined within this Charter may lead to disciplinary action, which could include dismissal, as detailed in our human resources procedures. Our Data protection Strategic Objectives We commit ourselves to the following strategic objectives, as we strive for data protection excellence. Promote understanding To promote data protection as an enabler to maximise the benefits we can reap from the information we process. Be compliant To be compliant with policies, standards and legislation, keeping up to date on developments so that we may be both alert and responsive to support our practice and the community that we serve. Demonstrate leadership To demonstrate positive senior management leadership of data protection to colleagues, management teams, our partners and the community. Valuing our data To identify our data assets, recognise the to our business and understand fully the risks they are exposed to, so that they may be managed effectively.
Should you become aware that company data has been compromised or that there has been a “data breach” you should report this to your line manager and / or the company’s Data Protection Officer without delay. You should ensure that throughout the course of your employment that you follow all rules in relation to data processing as above. Upon leaving the company you should ensure that all and any data in your possession is returned to the company. You should not retain any confidential information or company data in any format or medium.
1.5 – complete if relying on 6(a) above How do the proposed consent statements comply with Data Protection Legislation requirements including the right to withdraw consent and how they can do this? (there is a checklist that can be used to assess this) 1.6 – complete if relying on 6(b) above What contract is being referred to? 1.7 – complete if relying on 6(c) above Identify the legislation or obligation relied upon for processing 1.8 – complete if relying on 6(d) above How will you protect the interests of the data subject or another natural person? 1.9 – complete if relying on 6(e) above What statutory or duty does the Controller derive their official authority from? 1.10 – complete if relying on 6(f) above What is the legitimate interest relied upon? See guidance for further information on where this can be used.
Derogations and Exceptions. The Act provides that member states of the EU can provide their own national rules in respect of specific processing activities. All Data Controllers must be familiar with Schedules 1-18 of the GDPR as are the lawful exemptions pertinent to many other legal frameworks and Acts. These Schedules cover things such as Parliamentary Privilege, Health and Social Work, Criminal Convictions (Additional Safeguards), Research, Statistics and Archiving, Education Child Abuse, and include specific provisions for data processing within the Schedule(s). For example: Schedule 15: Powers of Entry and Inspection. This Schedule sets out clearly the powers of the Information Commissioner’s Office in relation to warrant(s) issued by the courts which allow the I.C.O. to enter premises and inspect data field there, including the seizure of documents. Schedule 18 is where all the legislative changes, in all pertinent primary legislation is found, including the repeal of the Data Protection Act 1998. As the Act is embedded in to the organisation, Data controllers, their role and responsibilities, will need to be reviewed and revised to ensure compliance. Codes of Practice. The Act enhances the role of the Information Commission’s Office (I.C.O.) in the compilation of such and these will be available in due course. It is important that we are regularly checking the I.C.O. website in order to keep up with current guidance. Section 2 The Policy This organisation believes that all data, required for the delivery of the service and the lawful running of the organisation must be collected, handled, maintained and stored in accordance to the requirements of the Data Protection Act 2018. The General Data Protection Regulation (GDPR) form the basis of the Act but in order to be effective and compliant with its requirements, the Related Policy list should be viewed as core to this policy, as should Section 1 and the Related Guidance links. PLEASE NOTE All Guidance from the ICO should be considered “Live Documentation” and regularly checked until all Codes of Practice and Guidance are issued. Working Party 29 known as WP29 is a representative body from each of the EU member states who have developed and worked on the Act. WP29 still sits and meets in the European Parliament until all of the complexities of the Act have been clarified and amended into law.
LDBS Academies Trust & LDBS Academies Trust 2 Data Protection Policy DATE APPROVED BY THE LDBS ACADEMIES TRUST 20 2018 NEXT REVIEW DATE (Biennial) March 2019 This policy will normally be reviewed biennially, but in the instance will be reviewed in one-year due to the introduction of the Data Protection Act 2019. SIGNED (EXECUTIVE) HEADTEACHER DATE SIGNED CHAIR OF THE ACADEMY COMMITTEE DATE
20-29 30-39 40-49 50-59 60-69 70-79 80+ Incidence Rate 2.12 8.71 9.76 8.74 9.34 8.24 7.15 Mortality Rate - 0.54 1.99 2.75 3.63 3.53 3.77 ^per 100,000; cells with fewer than 10 people not shown; Data source: Massachusetts Cancer Registry and Massachusetts Registry of Vital Records and Statistics Incidence by age group The highest age-specific incidence rates from 2004-2014 were among females diagnosed in their 40s (9.8 cases per 100,000 females) and 60s (9.3 cases per 100,000 females). Females age 30-39 and age 50-59 saw statistically significant annual decreases in the age-specific incidence rate of cervical cancer (-3.9%, p=0.027, and -3.8%, p=0.0002, respectively). Other age groups saw non-statistically significant annual decreases in the incidence rate of cervical cancer from 2004-2014. Mortality by age group The highest age-specific mortality rates from 2008-2014 were among females in their 80s and older (3.8 deaths per 100,000 females) and 60s (3.6 deaths per 100,000 females). Females in their 60s saw a statistically significant annual decrease in the age-specific mortality rate of cervical cancer (-11.9%, p=0.025). Females in their 50s saw a statistically significant annual increase in the mortality rate from 2008-2010 (30.6%, p=0.026) followed by a statistically significant annual decrease in the mortality rate from 2010-2014 (-6.1%, p=0.034).
B8 Be a Cestrian Role Model, encourage/help others to make the right choices to maximise learning time for all. L11 Be a Cestrian Role Model, encourage/help others to improve their knowledge and understanding - maximise the learning of all. Consistently A: Role Model Regularly B: Coasting Sometimes C: Impacting Progress Rarely D: Significantly impacting progress
PURPOSE The purpose of this report is to present the epidemiology of oropharyngeal cancer in Massachusetts from 2004 to 2014. Oropharyngeal cancers include cancers that on the base of the tongue, tonsils, soft palate, and other oropharynx. This report describes the incidence, mortality, trends over time, percentage of cancers attributable to human papillomavirus (HPV) infection, and risk factors for oropharyngeal cancer, and compares the findings from Massachusetts to national data on oropharyngeal cancer. Data are from the Massachusetts Cancer Registry and Massachusetts Registry of Viral Records and Statistics. Rates of HPV vaccination in Massachusetts are examined. A quick summary of risk factors not related to HPV infection are examined. KEY FINDINGS In Massachusetts from 2004-2014, oropharyngeal cancer was the most common HPV-associated cancer among males and the third most common HPV-associated cancer among females. Oropharyngeal cancer was the most common cause of death from an HPV-associated cancer for males and second most common cause of death from an HPV-associated cancer for females from in Massachusetts. The incidence rate of oropharyngeal cancer among males in Massachusetts has been increasing by 2.8% each year from 2004-2014 with statistical significance. The age-adjusted incidence rate of oropharyngeal cancer was 4.1 times higher among Massachusetts males than among females. The incidence rate of oropharyngeal cancer is higher in Massachusetts than the United States. OROPHARYNGEAL CANCER COMPARED WITH OTHER HPV-ASSOCIATED CANCERS Table 1. Total cases and age-adjusted incidence rates^ of the most common HPV-associated cancers, Massachusetts, 2004-2014 2014
The Head Teacher will issue disciplinary sanctions to the pupil or member of staff, in accordance with the processes outlined in the Policy. The data controller will work with the third-party provider to provide an appropriate response to the attack, including any in-house changes. Any further action which could be taken to recover lost or damaged data will be identified – this includes the physical recovery of data, as well as the use of back-ups. Where the security risk is high, the school will establish what steps need to be taken to prevent further data loss which will require support from various school departments and staff. This action will include: Informing relevant staff of their roles and responsibilities in areas of the containment process. Taking systems offline. Retrieving any lost, stolen or otherwise unaccounted for data. Restricting access to systems entirely or to a small group. Backing up all existing data and storing it in a safe location. Reviewing basic security, including: Changing passwords and login details on electronic equipment. Ensuring access to places where electronic or hard data is kept is monitored and requires authorisation. appropriate, e.g. if offences have been committed under the Computer Misuse Act 1990, the data controller will inform the police of the security breach. The data controller will test all systems to ensure they are functioning normally, and the incident will only be deemed ‘resolved’ when it has been assured that the school’s systems are safe to use. Assessment of risks The following questions will be considered by the data controller in order to fully and effectively assess the risks that the security breach has brought, and to help take the next appropriate steps. All relevant questions will be clearly and fully answered in the data controller’s report and records: What type and how much data is involved? safety
Minnesota State Board Policy 5.23 Security & Privacy of Information Resources Procedure 5.23.2 & Operating Instructions 5.23.2.1 Data Security Classification Data Security Classification Definition Highly Restricted Data Elements (This is an Exhaustive List) Highly Restricted Institutional data must be classified as "highly restricted" if the data requires limiting access to only persons with a legitimate need to know, and: the data elements for which loss of confidentiality is sufficient to assume a person’s identity in financial transactions; or by law, regulation, or contract, the data requires high-level security controls, or the loss of confidentiality could cause significant personal or institutional harm. Social security numbers Credit/payment card numbers and related information Financial account numbers such as banking or investment account numbers Security or access codes or passwords used to access highly restricted data Personal health/medical information including insurance policy ID numbers and any information covered under HIPAA Non-public investigation data (determined by legal counsel) Credentials for IT systems that manage data elements in this classification level Biometric information Trade secret or intellectual property protected by a non-disclosure agreement Data Security Classification Definition Restricted Data Elements (Not an Exhaustive List) Restricted Institutional data must be classified as “restricted” if it does not classify as “highly restricted” but the data: by law is not public data, or requires limiting access to only persons with a legitimate need to know, or whose unauthorized disclosure will require statutory notification to affected parties (i.e., breach notification). Student records – admission applications, transcripts, exam papers, test scores, evaluations, grades, student discipline, student class schedule, student worker information, financial aid, and loan collection records Student directory information that has been suppressed by the student Student lists College, university, system office, or faculty trade secret or intellectual property Library use information
Table 1. A summary of the types of data and data sharing in the KEMRI Wellcome Trust programme Data type How collected Custodianship Data sharing ROUTINE CLINICAL/ HEALTH DATA Collected by MoH in Kenya and other parts of Africa [e.g. Malaria Public Health department’s use of malaria indicator data from Malaria Control Programmes] Custodianship is held by relevant MoH. Programme researchers are recipients of data the terms of a Data Transfer Agreement (DTA) or Memorandum of Understanding (MOU). Programme researchers may not consider requests for data sharing unless described in the DTA/MOU. This restriction applies to requests from other researchers within the Programme who were not party to the original DTA. Collected by programme researchers or MoH in Kenya or other parts of Africa, including through collaborations between these parties [e.g. DPHR collection of clinical data in collaboration with Kenyan MoH] Custodianship is held by the relevant MoH. Programme researchers’ use of data is governed by a Memorandum of Understanding (MOU) or DTA developed to support the collaboration. Requests for data sharing should be approved by the relevant MoH, including: i) Applications from researchers within the Programme for uses not described in the MoU/DTA; ii) Applications from researchers external to the Programme. STUDY SPECIFIC DATA Data collected by programme researchers under KEMRI SSC/ERC approved proposals; including in collaboration with other research institutions. Custodianship is held by the Programme, devolved to the study PI while working in the Programme. Requests for data sharing should be made to the PI while they hold custodianship9. The PI can opt to include the DGC in access decisions, including to meet funding or publishing requirements. KILIFI INTEGRATED DATA MANAGEMENT SYSTEM (KIDMS) Integrated data archive comprising: i) Routine and study specific clinical data collected at KCH and surrounding health facilities; and ii) Data collected under KHDSS to support public health and research systems. Custodianship is jointly held by the Programme and Kilifi MoH, under terms of informed consent for its collection, unless specified otherwise. For internal requests, those covered by an SSC proposal are released through an automated audited system. Other routine internal requests are released after DGC review. Non-routine internal or external requests are reviewed by DGC & CSC and may be referred to SSC where a new proposal/external review is recommended.
35.5601 249.663 205.7 236.828 217.352 167.926 114.176 387.427 415.953 278.485 146.527 135.366 52.6426 143.471 1.36942 59.5124 613.794 566.117 479.198 418.779 406.1 266.135 572.782 622.554 421.387 221.833 206.317 90.6755 281.579 0.564062 0.58178 0.597549 0.598305 0.608003 0.784481 0.972783 1.93636 2-cys peroxiredoxin BAS1,chloroplastic thylakoid bound ascorbate peroxidase 2-cys peroxiredoxin BAS1 2-cys peroxiredoxin BAS1 multiple organellar RNA editing factor 2,chloroplastic peroxiredoxin-2E-2 thylakoid lumenal 29 kDa protein Catalase isozyme 2
2012 Prof. Associate Prof. Asst. Prof. Lecturer Research Scholar Teacher Assistant Regular Contractual Deputation Tenure Track IPFP Foreign Faculty Last Degree Total Grand Total M F M F M F M F M F M F M F M F M F M F M F M F PhD MPhil M.Sc BS Total M F Number of PhD Produced by the Department 2010 2011 2012 Total M F Total M F Total M F Total M F Total Research Publications 2010 2011 2012 Total Impact Factor HEC Recognized Total Impact Factor HEC Recognized Total Impact Factor HEC Recognized Total Impact Factor HEC Recognized Total Faculty Sent Abroad for Presentation of Papers at International Conferences 2010 2011 2012 Total M F Total M F Total M F Total M F Total Number of Conferences Hosted 2010 2011 2012 Total National International Total National International Total National International Total National International Total
National Oral Health Surveillance System (NOHSS)* National and State National Program of Cancer Registries (NPCR) ** National and State National Survey of Children’s Health (NSCH) ** State National Youth Tobacco Survey (NYTS) *** National Pregnancy Risk Assessment Monitoring System (PRAMS) ** State Rural and Low-Income School Program*** State and Local School Health Policies and Practices Study (SHPPS) ** National and State Sealant Efficiency Assessment for Locals and States* State and Local Small Area Health Insurance Estimates*** National, State, County http://www.census.gov/did/www/sahie/ Small Area Income and Poverty Estimates*** National, State, County, School District State Cancer Profiles** National, and Local Surveillance Epidemiology and End Results (SEER) Program** National and State Tobacco Use Supplement to the Current Population Survey*** National VitalStats*** State and Local Water Fluoridation Reporting System* National and State Woman, Infants, and Children (WIC) *** State Youth Risk Behavior Surveillance System (YRBSS) *** National, and Local Youth Tobacco Survey*** State * Data resource is specific to oral health ** Data resource contains data on oral health; however the data are not limited to oral health *** Data resource may not include oral health data but data set is useful for planning oral health programs
Record Type Col Element Data Element Name Date Active (version) Type Format Length Required Element Submission Guideline ZR 4 ZR004 Insurance Category Code 01/17/18 Integer ID 1 Yes Indicates the insurance category that is reported : 1 = Medicare & Medicare Advantage 2 = Medicaid & Medicaid MCOs 3 = Commercial: Full-Claim 4 = Commercial: Partial-Claim 6 = Medicare and Medicaid Dual- Eligibles, 65 and over (e.g., SCO) 7 = Medicare and Medicaid Dual- Eligibles, 21-64 (e.g., OneCare) 8 = Value must be an integer between ‘1’ and ‘4’ or ‘6’ and ‘8’. ZR 5 ZR005 Member Months 12/10/10 Integer ######### 9 Yes The number of members participating in a plan over a specified period of time expressed in months of membership ZR 6 ZR006 Health Status Adjustment 12/10/10 Number ##.## 6 Yes A value that measures a patient’s illness burden and predicted resource use based on differences in patient characteristics or other risk factors. No negative values. Number must be between ‘.2’ and ‘10’. ZR 7 ZR007 Normalized Health Status Adjustment Score 12/10/10 Number ##.## 6 Yes The health status adjustment score divided by the Payer’s weighted average health status adjustment score within each insurance category No negative values. Number must be between ‘.2’ and ‘10’. ZR 8 ZR008 Claims: Hospital Inpatient 12/10/10 Money #######.## 12 Yes Total allowed claims for hospital inpatient medical expenses No negative values.
people who are added to the payroll in the last full pay period in June 2018 solely for the purpose of paying outstanding entitlements volunteers, employment agency staff, contractors, consultants or board members. Data description Each row in your data file should contain the following information for each employee. Separation dates and reasons should be included for staff who left during the year. All information to be correct as at: the last full pay period of June or at the time of separation for separated staff (where possible) or when last employed for casuals (those employed and paid for the last full pay period in June). The following section provides the specific requirements for each data point. Column header Definition Format VPS classification Employee’s VPS classification (eg.VPSG1, CPW, COG1). Include adaptive and non-adaptive classifications. A valid code. ANZSCO Australian and New Zealand Standard Classification of Occupations (ANZSCO) First Edition Revision 1.2. (xlxs, 26kb) A valid 4 (ideally 6) Job title The job title stored on your system Free text Do not use commas Functional area The code stored on your system for the Division/Branch or functional designation of the employee. Free text Do not use commas Work-function The work-function of the work-unit in which the employee worked: Operational service delivery (OSD) Service delivery management (SDM) Public administration (PAD) Public accountability (PAC) Corporate support services (CSS) Not required for staff on leave without pay. . Either: OSD SDM PAD PAC CSS
Dental sealants 3rd grade children State oral health survey - obtain data from individual state or CDC’s Oral Health Data Children 6-9 Years Dental sealant use children aged 6-9 years enrolled in Medicaid or CHIP Medicaid expansion Form CMS-416 (more current data may be available from your state Medicaid agency) Adolescents in Grades 9-12 Dental visit among adolescents in grades 9-12 Risk Behavior Surveillance System Medicaid/CHIP Children 10-14 Years Dental sealant use among children aged 10-14 years enrolled in Medicaid or CHIP Medicaid expansion Form CMS-416 (more current data may be available from your Medicaid agency) Children 1-17 Years Preventive dental visit among children aged 1-17 years National Survey of Children’s Health, also available at CDC Chronic Disease Indicators Dental visit among children aged 1-17 years National Survey of Children’s Health, also available at CDC Chronic Disease Indicators Medicaid/CHIP Children 1-20 Years Preventive dental service for children aged 1-20 years enrolled in Medicaid or CHIP Medicaid expansion Form CMS-416 (more current data may be available from your state Medicaid agency) Any dental service for children aged 1-20 enrolled in Medicaid or CHIP Medicaid expansion Form CMS-416 (more current data may be available from your state Medicaid agency) School-Based Health Centers School-Based Health Centers that provide dental sealants National Census of School-Based Health Centers, state data not currently available Health Centers that provide dental care National Census of Health Centers, state data not currently available Health Centers that provide topical fluoride National Census of Health Centers, state data not currently available Adults Dental visit among adults aged ≥18 years Behavioral Risk Factor Surveillance System, also available at CDC’s Oral Health Data and Chronic Disease Indicators Dental visit among adults aged ≥18 years with diagnosed diabetes Behavioral Risk Factor Surveillance System, available at CDC Chronic Disease Indicators (Category = Diabetes) No tooth loss among adults aged 18-64 years Behavioral Risk Factor Surveillance System, available at CDC Chronic Disease Indicators Six or more lost among adults aged ≥65 years Behavioral Risk Factor Surveillance System, available at CDC’s Oral Health Data and Chronic Disease Indicators All teeth lost among adults aged ≥65 years Behavioral Risk Factor Surveillance System, also available at CDC’s Oral Health Data and Chronic Disease Indicators
Figure 34: Viewing the server selection policy Adding a post-deployment script to the project You can specify actions that will take place after a data-tier application is deployed to an instance of SQL Server. You specify such post-deployment actions in the post-deployment script that resides under Scripts, under the Post-Deployment folder in Solution Explorer. To include Transact-SQL code in a post-deployment script, double-click the Script.PostDeployment.sql file and add code to the script using the editor. After changes are made, save the script to include the changes. Then, press F6 to build the solution. When working with post-deployment scripts, you should take several considerations and best-practices into account: In the first release of data-tier applications, the post-deployment script can be used to manipulate (for example, populate) data after project deployment. In addition, the script can be used to create objects that may not be in the initial release of applications. When you the solution to create a DAC package, the post-deployment script Script.PostDeployment.sql becomes part of the DAC package. When you work in Solution Explorer, it is recommended that you include all post-deployment commands in the Script.PostDeployment.sql script file. This is because only one file is included in the DAC package. In other words, you should not create multiple files. If you want to view the post-deployment script in the DAC package, it is recommended that you use the functionality, which is available on computers running the client tools for SQL Server 2008 R2. When a data-tier application is deployed the post-deployment script is not executed automatically against the target instance. In order to apply the script changes to the data-tier application, you must run and manually execute the script against the target instance and database used by the data-tier application. Visual Studio identifies a post-deployment script through the Build Action property associated with the script. To see the property, select the script in Solution Explorer and press F4 to set focus on the Properties window, and then find and review the Build Action property. For a script, the property value should be PostDeploy.
EXHIBIT B CERTIFICATE OF CONTINUED NEED AND COMPLIANCE (Complete and submit to CHIA when requesting new data for approved Project) The Recipient has been approved under a Data Application entitled, to receive additional years or versions of Data. All use of Data shall be governed by that certain Data Use Agreement, dated as of , by and between CHIA and Recipient (the “Agreement”). Recipient wishes to receive the additional years or release versions of the Data and CHIA is willing to provide such Data under the terms of the Agreement and the terms herein. Name and title of Primary Investigator (Applicant): Organization Requesting Data (Recipient): Project Title: Year or Version of Data Requested: The Recipient hereby certifies: The Recipient is in full compliance with the Agreement; The year or release version of Data, identified above, is necessary to complete the Project; No changes have been made to the Project. The undersigned further acknowledges:
This organizational chart illustrates, using the concept of identifying training needs based upon job classification and job skill levels within each classification, the possible different training needs of a facility. In the example above, each group of colored boxes probably needs a separate training syllabus to insure each employee receives the training necessary to perform there assigned tasks. TRAINING PROGRAM – SUGGESTED FORMAT FOR A TRAINING SYLLABUS Facility: Process: Date: Position: Training Topic References (List the source document(s) that require this training For example: NAC 459.95418, 29CFR1910 or Company Policy #08-123) Lesson Plans or Training Materials (For example: Lesson Plan #123 or Document #456) Duration Venue Type of Training Refresher Frequency Competency Test Pass-Fail Criteria Field Classroom Initial Refresher Written Test Oral Test Performance Notes to Table: