the data is stored in the main memory of a computer.
the data is stored in the main memory of a computer.
where is the data stored in a computer?
the main memory
in computer science, a data buffer (or just buffer) is a region of a physical memory storage used to temporarily store data while it is being moved from one place to another. typically, the data is stored in a buffer as it is retrieved from an input device (such as a microphone) or just before it is sent to an output device (such as speakers). however, a buffer may be used when moving data between processes within a computer. this is comparable to buffers in telecommunication. buffers can be implemented in a fixed memory location in hardware—or by using a virtual data buffer in software, pointing at a location in the physical memory. in all cases, the data stored in a data buffer are stored on a physical storage medium. a majority of buffers are implemented in software, which typically use the faster ram to store temporary data, due to the much faster access time compared with hard disk drives. buffers are typically used when there is a difference between the rate at which data is received and the rate at which it can be processed, or in the case that these rates are variable, for example in a printer spooler or in online video streaming.
data buffer
ndar's ongoing study capability allows investigators to work collaboratively on research studies in progress; sharing data, tools, and standards through the ndar portal before they are shared with the rest of the asd community. qualified researchers can also request access to data stored in ndar and/or data stored at federated repositories, after the data are made public. to gain access to that data, an investigator must obtain ndar data access privileges. by default, all data contained in ndar has passed data validation ensuring that all research participant data has an ndar guid, conforms to the ndar data standard, and meets standard value constraints. beginning with the january 2011 submissions, ndar developed and implemented automated quality procedures that are run against all incoming data to check for a variety of potential data discrepancies such as duplicate data, uniformity of gender, age consistency across measures, and scoring errors on a number of measures. not only will the new qa procedures make ndar-residing data of higher quality, but will increase data accuracy across each individual laboratory and project.
national database for autism research