«D»
Dashboard is a panel that shows operational and instrument vitals/readings and that helps process experts to monitor the most important production KPIs in one central point of access. It enables manufacturers to track and optimize the production quality and is a valuable analytics tool to manage all related manufacturing costs efficiently313.
Data Access is the authorized, on-demand ability to access, modify or edit selected data, regardless of location. Data Access is one of the main aspects of establishing successful data governance systems314.
Data Altruism term used in the Data Governance Act. Data that is made available without reward for purely non-commercial usage that benefits communities or society at large, such as the use of mobility data to improve local transport315.
Data analytics is the science of analyzing raw data to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption316.
Data Architecture is a discipline, process, and program focusing on integrating sets of information. One of the four Enterprise Architectures (with Application Architecture, Business Architecture, and System Architecture)317.
Data at Rest is stored data that is not processed or transferred318.
Data Center is a facility composed of networked computers, storage systems and computing infrastructure that organizations use to assemble, process, store and disseminate large amounts of data. A business typically relies heavily on the applications, services and data contained within a data center, making it a critical asset for everyday operations. Also, Data Center is a facility that contains connected equipment for computing resources319,320.
Data Controller (or Controller) the natural or legal person, or any other body, which alone or jointly with others determines the purposes and means of the processing of personal data. In a clinical trial, the organisation (s) responsible for the trial is usually considered being the controller321.
Data controller is a person, company, or other body that determines the purpose and means of personal data processing (this can be determined alone, or jointly with another person/company/body)322.
Data Curation is the organization and integration of data collected from various sources and it involves capturing, appraisal, description, preservation, access, use and reuse, and sharing of research data323.
Data Destruction operation that results in the permanent, unrecoverable removal of information about an object from memory or storage (e.g., by multiple overwrites with a series of random bits)324.
Data Dictionary database about data and database structures. A catalog of all data elements, containing their names, structures, and information about their usage, for the benefit of programmers and others interested in the data elements and their usage325.
Data Donation is research in which people voluntarily contribute their own personal data that was generated for a different purpose to a collective dataset326.
Data Donator person donating personal data (may have the option to provide his/her email, signing the data with a private key, and restricting the allowed usage of the provided data)327.
Data Economy is a global digital ecosystem, that enables free movement of data within the EU. Furthermore, data enables optimization and decision-making processes as well as innovations in a wide range of areas. Also, Data Economy refers to the utilization of digital data in commercial transactions328,329.
Data Element the smallest piece of information considered meaningful and usable. A single logical data fact, the basic building block of a Logical Data Model330.
Data Enrichment is the process of augmenting collected raw data or processed data with existing data or domain knowledge to enhance the analytic process331.
Data entry the process of converting verbal or written responses to electronic form332.
Data for social science, is generally numeric files originating from social research methodologies or administrative records, from which statistics are produced333.
Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods334.
Data Governance Methodology is a logical structure providing step-by-step instructions for performing Data Governance processes335.
Data Governance Office is a centralized organizational entity responsible for facilitating and coordinating Data Governance and/or Stewardship efforts for an organization. It supports a decision-making group, such as a Data Stewardship Council336.
Data in Motion is information thats transferred from one location to another337.
Data in Use is information thats being processed338.
Data Integrity proves that data hasnt been tampered with, altered, or destroyed in an unauthorized way339.
Data is a public good. This concept allows open use of non-personal data340.
Data lakes are centralized repositories of structured and unstructured data at any scale. Data is stored without having to first structure the data and then run different types of analytics. Data lakes are typically «cold storage» so not ideal for high performance direct IO applications341.
Data Linkage technique that involves bringing together and analyzing data from a variety of sources, typically data that relates to the same individual342.
Data literacy the ability to derive meaningful information from data, just as literacy in general is the ability to derive information from the written word. The complexity of data analysis, especially in the context of big data, means that data literacy requires some knowledge of mathematics and statistics343.
Data Management is all the disciplines related to managing data as a valuable resource, such as data modeling or metadata management344.
Data management plan (DMP) is a formal document that outlines the creation, management, sharing, and preservation of data, both during and after a research project. Many funding agencies require researchers prepare a DMP as part of funding proposals345.
Data Mapping the process of assigning a source data element to a target data element346.
Data markup is the stage of processing structured and unstructured data, during which data (including text documents, photo and video images) are assigned identifiers that reflect the type of data (data classification), and (or) data is interpreted to solve a specific problem, in including using machine learning methods (National Strategy for the Development of Artificial Intelligence for the period up to 2030).
Data mining is the process of data analysis and information extraction from large amounts of datasets with machine learning, statistical approaches. and many others. Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques, you can use this information to increase revenues, cut costs, improve customer relationships, reduce risks and more. Also, Data mining is the process of turning raw data into useful information by using software to look for meaningful patterns347,348,349.