Data Management Procedures Sample Clauses

Data Management Procedures. The data collected and generated for the project will be used to meet the target objectives. An inventory of existing data sharing solutions will be done based on research literature and a stakeholder consultation process. The assessment of the different aspects of these data sharing solutions will be realised through distinct tasks. The project stakeholders will be solicited for the review and validation of the different dataspace building blocks (technical, governance, business model, legal, etc.). To finish, the project will design a roadmap for the deployment and maintenance of the future dataspace for agriculture based on the previous work produced in the project. The project will generate raw data collected through surveys, interviews and workshops and analysed data from their studies. The data produced by the AgriDataSpace project will be stored in files, such as Excel, Word PowerPoint, PDF, JPEG, and will represents a low volume of data. Existing data from Horizon 2020 and Horizon Europe projects will be re-used as well as data produced in the framework of the DSSC. Also, existing standards and ontologies from data sharing and the agricultural sector will be assessed and used. These data will be studied and assembled to propose documents such as frameworks, building blocks, guidelines for the deployment of the future dataspace for agriculture. These documents will be useful for future European projects with the purpose of deploying the future dataspace for agriculture. 3 A FAIR approach As a CSA, the AgriDataSpace project does not intend to run research programs that generate a large amount of data. In addition, the data collected through the project are closely related to personal data. The FAIR principles ‘findable, accessible, interoperable and reusable’ are not relevant for the data collected in project. However, there is a wiliness in sharing openly the documents produced by the project: mapping of data sharing initiatives, frameworks, building blocks, roadmaps. Using the FAIR approach is an efficient way to ensure the dissemination of the project results. 3.1 Making data findable The data collected in the during the project through the stakeholder consultation process will be stored by each WP leaders in files formats and centralized in the common secured SharePoint. A naming convention will be defined to identify the files. The convention will allow to easily generate standards names including the number of the work package and dates if rele...
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Data Management Procedures. TDNCC utilizes Medidata Solutions, Inc. (Medidata) Rave® for their electronic data capture (EDC) studies. The Medidata Rave EDC system is designed to be US Code of Federal Regulations (CFR) 21 Part 11 compliant with a robust audit trail system and electronic signature capabilities. Study personnel at each site will enter data from a subject’s visit onto electronic CRF screens via a web browser. Study subjects will not be identified by name in the study database or on any data capture screens, but will be identified by initials and a unique subject identification number. Only study personnel at the individual sites will be able to link the study ID to the subject’s name. The Data Management group of the TDNCC will be responsible for data processing, in accordance with procedural documentation. Database lock will occur once quality assurance procedures have been completed. All procedures for the handling and analysis of data will be conducted using good computing practices for the handling and analysis of data for clinical trials. Data Quality Control and Reporting: After data have been entered into the study database, a system of computerized data validation checks will be implemented and applied to the database on a regular basis. Queries are entered, tracked, and resolved through the EDC system directly. The study database will be updated in accordance with the resolved queries. All changes to the study database will be documented.
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Data Management Procedures. The Respondent shall consistently document the quality and validity of field and laboratory data compiled during the RI. Information gathered during site characterization shall be consistently documented and adequately recorded by the Respondent in well-maintained field logs and laboratory reports. The method(s) of documentation must be specified in the Work Plan and/or the SAP. Field logs must be utilized to document observations, measurements, and significant events that have occurred during field activities. Laboratory reports must document sample custody, analytical responsibility, analytical results, adherence to prescribed protocols, nonconformity events, corrective measures, and data deficiencies. The Respondent shall maintain field reports, sample shipment records, analytical results, and QA/QC reports to ensure that only analytical data of appropriate and known quality are reported and utilized in the development and evaluation of remedial alternatives. All sampling and testing data, quality control and quality assurance documentation, and chain of custody forms that are maintained by the Respondent must be in an electronic format easily accessible by EPA and the support agencies. Analytical results developed under the WP must not be included in any site characterization reports unless accompanied by or cross-referenced to a corresponding QA/QC report. In addition, the Respondent shall establish a data security system to safeguard chain-of- custody forms and other project records to prevent loss, damage, or alteration of project documentation. Respondent will use a 3rd party to validate datasets using the general protocol and process described in the USEPA Contract Laboratory Program National Functional Guidelines for Inorganic Data Review (NFG; USEPA, 2004), and QA Plans that are consistent with relevant guidance. All validated data, and the electronic data deliverable (EDD) shall be made available to EPA in electronic format (i.e., computer disc or equivalent). The validated data, along with QA/QC information and data validation summaries, shall be submitted to EPA in electronic format within 120 calendar days from the date of collection of the last sample from each sampling event.
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Data Management Procedures. 11.1 Data recording/reporting requirements 11.2 Lab data package requirements
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Data Management Procedures. The data management system covers capture and management of field data, lab data, data quality assessment, data interpretation, and waste profiles and manifests into a CSM for final decision-making or use. The data management system will include, but not be limited to, final archive storage and any data sharing platforms such as ftp sites or password-protected project websites. Documentation shall follow DoD standard record-keepingpractices, standard document control systems, and electronic data managementsystems. Details are presented as flow diagrams for a conceptual overview of the data management scheme, including various organizations’ coordination, execution, and release. In order to effectively and cost efficiently manage analytical data, all contracts require definitive analytical data to be captured electronically and be evaluated by experienced environmental professionals using automated and manual data review tools. These procedures must be captured in the UFP-QAPP and approved by all stakeholders. Once specific projects are awarded, each project must prepare an electronic project library. The project library shall include all of the project-specific objectives in the form of measurement performance criteria for definitive data management. Default performance criteria are established within the DoD QSM for several analytical parameters in water and solid matrices. Modifications to widen or tighten criteria will be at the discretion of the USACE Project Chemist and be fully justified as a variance in a Memorandum for Record (MFR). Details to be included in the project library are the analytical methods, the matrices sampled, the target analytes reported, Detection Limits (DL), LOD, LOQ, associated precision and accuracy limits for method QC samples, and all method-specific criteria for investigative and investigation-derived waste data.
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Data Management Procedures. VentiRx Pharmaceuticals or its designee will prepare guidelines for database setup, data review, quality control, and database lock at the conclusion of the study—including procedures for electronic edit checks. CRF Completion Guidelines will be prepared to guide the data entry activities completed by the sites. The database will be validated following established procedures. Electronic databases that hold subject study data will conform to 21 CFR §11 requirements.
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Data Management Procedures. 31 11.1 Data Recording/reporting requirements 31 11.2 Lab data package requirements 31 11.3 Electronic transfer requirements 31 11.4 Acceptance criteria for existing data 31 11.5 EIM/STORET data upload procedures 31
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Data Management Procedures. ‌ The data will be entered into a validated database. The Biostatistics and Clinical Data Management group will be responsible for data processing, in accordance with agreed procedures. Database lock will occur once quality assurance procedures have been completed. All procedures for the handling and analysis of data will be conducted using good computing practices meeting FDA guidelines for the handling and analysis of data for clinical trials.
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Data Management Procedures. ‌ 11.1 Data Recording/reporting requirements‌ Staff will record all field data in a field notebook or an equivalent electronic collection platform. Before leaving each site, staff will check field notebooks or electronic data forms for missing or improbable measurements. Staff will enter field-generated data into Microsoft Excel® spreadsheets as soon as practical after they return from the field. The field lead will check data entry against the field notebook data for errors and omissions. Data from temperature loggers that meet the calibration check accuracy requirement will be proofed and QC checked by plotting the data in a spreadsheet and displaying them with a chart. All continuous data will also be entered into Microsoft Excel® spreadsheets. Field-checked air and water temperatures will be compared to recorded values on the dates of field visits. Results of quality control checks and calibrations will be recorded on electronic forms to allow for quality assurance review. Quality assurance records will be saved on Mid-Columbia FEG computers until Ecology’s final approval of the project report so they may be accessed for post- project analysis and audits. 11.2 Lab data package requirements‌ Not applicable. 11.3 Electronic transfer requirements‌ Described above in Section 11.1. 11.4 Acceptance criteria for existing data‌ Not applicable. 11.5 EIM/STORET data upload procedures‌ Data will be transferred to Ecology’s EIM system annually per online submittal guidelines. The EIM data coordinator will be consulted if data submittal problems arise. The field technician will complete EIM training offered by Ecology.
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Related to Data Management Procedures

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  • Amendment Procedures Amendments to this Agreement may be proposed only by the General Partner. To the fullest extent permitted by law, the General Partner shall have no duty or obligation to propose or approve any amendment to this Agreement and may decline to do so free of any duty or obligation whatsoever to the Partnership, any Limited Partner or any other Person bound by this Agreement, and, in declining to propose or approve an amendment to this Agreement, to the fullest extent permitted by law shall not be required to act in good faith or pursuant to any other standard imposed by this Agreement, any Group Member Agreement, any other agreement contemplated hereby or under the Delaware Act or any other law, rule or regulation or at equity, and the General Partner in determining whether to propose or approve any amendment to this Agreement shall be permitted to do so in its sole and absolute discretion. An amendment to this Agreement shall be effective upon its approval by the General Partner and, except as otherwise provided by Section 13.1 or Section 13.3, the holders of a Unit Majority, unless a greater or different percentage of Outstanding Units is required under this Agreement. Each proposed amendment that requires the approval of the holders of a specified percentage of Outstanding Units shall be set forth in a writing that contains the text of the proposed amendment. If such an amendment is proposed, the General Partner shall seek the written approval of the requisite percentage of Outstanding Units or call a meeting of the Unitholders to consider and vote on such proposed amendment. The General Partner shall notify all Record Holders upon final adoption of any amendments. The General Partner shall be deemed to have notified all Record Holders as required by this Section 13.2 if it has posted or made accessible such amendment through the Partnership’s or the Commission’s website.

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