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Therefore, the TSP and the Generator shall be required to submit specific information regarding the electrical characteristics of their respective facilities to each other as described below in accordance with ERCOT Requirements.", "size": 16, "hash": "0c53572a5c704083ceb410993c354656", "id": 1}, {"snippet_links": [], "samples": [{"hash": "dbTreZ1LPCo", "uri": "/contracts/dbTreZ1LPCo#data-acquisition", "label": "License Agreement", "score": 27.4054298401, "published": true}, {"hash": "bo4mmAjovvd", "uri": "/contracts/bo4mmAjovvd#data-acquisition", "label": "License Agreement", "score": 21.6543464661, "published": true}, {"hash": "j1GSht2Zd46", "uri": "/contracts/j1GSht2Zd46#data-acquisition", "label": "License Agreement", "score": 20.7248458862, "published": true}], "snippet": "a. 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Depending on the application and configuration case, this data may also be stored locally in the network or on servers located in the network in order to enable further products or services of the licensor. The licensor is entitled to use this systemic data for diagnostic purposes or for licensor services and to collect the data, provided that it is collected and stored for the purposes described above in a form that does not allow any conclusions to be drawn about individuals. Depending on the software product, data collection can be prevented by uninstalling the analysis soft- \u2587\u2587\u2587\u2587.", "size": 3, "hash": "04475c17babf83dce1d23a5fb6962783", "id": 4}, {"snippet_links": [], "samples": [{"hash": "eFbMh5kz4XI", "uri": "/contracts/eFbMh5kz4XI#data-acquisition", "label": "License Agreement", "score": 24.6143417358, "published": true}, {"hash": "eNcxoOy3KKQ", "uri": "/contracts/eNcxoOy3KKQ#data-acquisition", "label": "License Agreement", "score": 24.3333339691, "published": true}], "snippet": "a. BACnet Standard\nb. 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Data is collected to support service design, management and control decisions resulting in state changes in configuration items. The link between decisions and data is through queries and rules applied to contextual information stored with measurement values. The monitoring model uses an agent-based approach with hierarchical aggregation used as required for different time scales of decision-making, as shown in Figure 20.", "size": 2, "hash": "2da0d02b8846ba295a3376ba7e006f2d", "id": 6}, {"snippet_links": [], "samples": [{"hash": "azR8LfRPlnm", "uri": "/contracts/azR8LfRPlnm#data-acquisition", "label": "Task Order", "score": 30.2670040131, "published": true}], "snippet": "Responsibility: POWER Deliverable(s): Assumption(s):", "size": 1, "hash": "e21ef3dc970381ba36cf2710ccb0b259", "id": 7}, {"snippet_links": [{"key": "rate-of", "type": "clause", "offset": [202, 209]}, {"key": "signal-processing", "type": "definition", "offset": [234, 251]}, {"key": "in-parallel", "type": "definition", "offset": [267, 278]}, {"key": "data-volume", "type": "definition", "offset": [404, 415]}], "samples": [{"hash": "eGEMgppYNgm", "uri": "/contracts/eGEMgppYNgm#data-acquisition", "label": "Grant Agreement", "score": 33.6599006653, "published": true}], "snippet": "To monitor the beam profile, the BPM sensor with 40 channels is connected to the upgraded DAQ system [3]. The new readout electronics measures the currents in the 1-100 nA range and provides a sampling rate of up to 1 kHz that allows signal processing from four BPMs in parallel, totalling in 160 channels per DAQ unit. The resulting dataflow reaches 480 samples/s for every single BPM, yielding a total data volume of about 160 MB/day.", "size": 1, "hash": "d89d90c00c85a4dfcb553295e6596077", "id": 8}, {"snippet_links": [{"key": "consultant-shall", "type": "clause", "offset": [6, 22]}, {"key": "with-county", "type": "clause", "offset": [28, 39]}, {"key": "data-sources", "type": "definition", "offset": [52, 64]}, {"key": "required-data", "type": "clause", "offset": [112, 125]}, {"key": "for-consultant", "type": "clause", "offset": [137, 151]}], "samples": [{"hash": "1sfYTnzPg2n", "uri": "/contracts/1sfYTnzPg2n#data-acquisition", "label": "Cyber Security Monitoring and Risk Assessment Agreement", "score": 31.0445537567, "published": true}], "snippet": "While Consultant shall work with County to identify data sources it will be County\u2019s responsibility to make the required data accessible for Consultant\u2019s date engineers to ingest into Consultant\u2019s environment.", "size": 1, "hash": "0e21d160ad036fcd8db7a5a3667da8ae", "id": 9}, {"snippet_links": [{"key": "the-requirement", "type": "clause", "offset": [0, 15]}, {"key": "the-study", "type": "definition", "offset": [19, 28]}, {"key": "catchment-area", "type": "definition", "offset": [115, 129]}, {"key": "soil-map", "type": "definition", "offset": [179, 187]}, {"key": "land-use-classification", "type": "definition", "offset": [190, 213]}, {"key": "management-practices", "type": "definition", "offset": [228, 248]}, {"key": "area-map", "type": "clause", "offset": [261, 269]}], "samples": [{"hash": "kxFCJjqNgyT", "uri": "/contracts/kxFCJjqNgyT#data-acquisition", "label": "Memorandum of Agreement", "score": 21.565366745, "published": true}], "snippet": "The requirement of the study was first defined and the outputs expected were noted. The various data layers of the catchment area used for the study are as follows: \uf0b7 Slope Map \uf0b7 Soil Map \uf0b7 Land use Classification Map \uf0b7 Current Management Practices \uf0b7 Catchment Area Map.", "size": 1, "hash": "d098e51740cf202188280f2dfe187a67", "id": 10}], "next_curs": "ClkSU2oVc35sYXdpbnNpZGVyY29udHJhY3RzcjULEhZDbGF1c2VTbmlwcGV0R3JvdXBfdjU2IhlkYXRhLWFjcXVpc2l0aW9uIzAwMDAwMDBhDKIBAmVuGAAgAA==", "clause": {"title": "Data Acquisition", "children": [["meter-reading", "Meter Reading"], ["cost-of-metering", "Cost of Metering"], ["installation-and-maintenance-of-meters", "Installation and Maintenance of Meters"], ["ercot", "ERCOT"], ["cost-of-data-acquisition", "Cost of Data Acquisition"]], "parents": [["miscellaneous-provisions", "Miscellaneous Provisions"], ["rule-17g-5-compliance", "Rule 17g-5 Compliance"], ["limitation-of-liability", "Limitation of Liability"], ["indenture-trustee-actions", "Indenture Trustee Actions"], ["trustee-actions", "TRUSTEE ACTIONS"]], "size": 245, "id": "data-acquisition", "related": [["mergers-acquisition-sales-etc", "Mergers, Acquisition, Sales, etc", "Mergers, Acquisition, Sales, etc"], ["mergers-acquisitions-etc", "Mergers, Acquisitions, Etc", "Mergers, Acquisitions, Etc"], ["mergers-acquisitions-sales-etc", "Mergers, Acquisitions, Sales, etc", "Mergers, Acquisitions, Sales, etc"], ["acquisition-services", "Acquisition Services", "Acquisition Services"], ["information-acquisition", "Information Acquisition", "Information Acquisition"]], "related_snippets": [], "updated": "2026-07-30T06:00:48+00:00", "also_ask": ["What are the essential representations and warranties for data provenance and accuracy?", "How can data usage rights and restrictions be strategically negotiated?", "What are the most common liability pitfalls in data acquisition clauses?", "How do data acquisition terms compare across jurisdictions with differing privacy laws?", "What enforceability challenges arise if data is obtained in breach of third-party rights?"], "drafting_tip": "Specify permitted data sources to prevent unauthorized collection, define data ownership to clarify rights, and outline acquisition methods to ensure compliance with applicable laws.", "explanation": "The Data Acquisition clause defines the terms under which data is collected, accessed, or obtained by one or more parties under an agreement. It typically outlines the types of data involved, the methods of acquisition, and any permissions or restrictions regarding data use. For example, it may specify that a service provider can collect user analytics data only for performance monitoring purposes. The core function of this clause is to ensure clarity and legal compliance regarding data handling, thereby protecting the interests of both data providers and recipients."}, "json": true, "cursor": ""}}