Data Integrity. Policies and procedures to ensure the confidentiality, integrity, and availability of Customer Data or Professional Services Data and protect it from disclosure, improper alteration, or destruction.
Data Integrity. Contractor shall implement policies and procedures reasonably intended to ensure that Protected Health Information and Personally Identifiable Information in its possession is complete, accurate, and current, to the extent necessary for the Contractor’s intended purposes, and has not been altered or destroyed in an unauthorized manner.
Data Integrity. CUSTOMER will ensure that all data and information submitted by it to PROVIDER for performing the Services shall be accurate and complete and furnished in a timely manner.
Data Integrity. The Institution shall, and shall cause the Investigator to, at all times maintain evidence to demonstrate that adequate quality management systems and controls are in place to ensure reliability, quality and integrity of all data.
Data Integrity. Controls must ensure that any data stored, received, controlled or otherwise accessed is accurate and reliable. Procedures must be in place to validate data integrity.
Data Integrity. Each of the Parties acknowledges the importance of ensuring that the activities conducted under this Agreement are undertaken in accordance with the following good data management practices, and shall use Commercially Reasonable Efforts to ensure the following:
Data Integrity. GSK and CureVac shall carry out their respective Development activities under this Agreement, and collect and record any data generated therefrom, in a manner consistent with the following good data management practices: (i) Development Data shall be generated using sound scientific techniques and processes; (ii) Development Data shall be analyzed appropriately, without bias and in accordance with good scientific practices; and (iii) Development Data shall be accurately recorded in accordance with good scientific practices by the individuals performing the research and in accordance with the ALCOA CCEA data integrity principles: (A) Attributable: data are traceable to the originator, (person and/or a computerized system, a device, an instrument), including any changes made to data, i.e. who performed an action and when, so that key decisions made during the conduct of the research, presentations made about the research and conclusions reached in respect of the research can be easily demonstrated and reconstructed; (B) Legible: data are readable and understandable; (C) Contemporaneous: data are recorded at the time they are generated or observed as per regulatory requirements; or in absence of regulatory requirements, local business practices; (D) Original (true copy): data as the file or format in which it was first generated, e.g. first paper record of manual observation, or electronic raw data file from a computerized system as per regulatory requirements; or in absence of regulatory requirements, local business practices; (E) Accurate: data, including error corrections and edits, are correct, truthful and to the appropriate precision; (F) Complete: all expected elements of the data are present (i.e., no unexplained gaps in the data) and the full meaning and context is preserved with the data; (G)
Data Integrity. Supplier shall comply with all Seagate instructions to maintain data integrity, including (a) disposing of Seagate Personal Information that is maintained by Supplier but that is no longer necessary to provide Services; (b) ensuring that any Seagate Personal Information created by Supplier on Seagate’s behalf is accurate and kept up to date; and (c) upon Seagate’s request, allow Seagate to access any Seagate Personal Information, all in accordance with applicable laws.
Data Integrity. Each Party agrees that it shall, and shall cause its Affiliates, contractors, consultants and employees to carry out each R&D Program and collect and record any data generated therefrom in a manner consistent with the following good data management practices (“Good Data Management Practices”):
Data Integrity. Ablynx acknowledges the importance to Merck of ensuring that the Research Programs are undertaken in accordance with the following good data management practices: (i) data is being generated using sound scientific techniques and processes; (ii) data is being accurately and reasonably contemporaneously recorded in accordance with good scientific practices by Persons conducting research hereunder; (iii) data is being analyzed appropriately without bias in accordance with good scientific practices; and (iv) all data and results are being stored securely and can be easily retrieved. In order to observe the foregoing requirements, Ablynx agrees that it shall carry out the Research Programs so as to collect and record any data generated therefrom in a manner consistent with the foregoing requirements, including using the same degree of skill and care that it uses in respect of its own data.
