许多倡导者认为，带有日期和时间戳的透明数据程序将保护科学家的成果不被他人抢先发表。
Many advocates think that transparent data procedures with a date and time stamp will protect scientists from being scooped.
在这种情况下，只将必要的数据(比如姓名、日期和休假类型)发送给进行处理的应用程序，而不需要发送整个表单。
In this case, only the required data such as name, dates, and leave type — rather than the entire form — are sent to the processing application.
现在检查第二个记录集，其中它的日期和事实数据会被添加到查询中。
Now examine this second record set in which date and fact data were added to the query.
某些数字，比如日期，作为原始数据时看起来很奇怪，如果未带格式存储，那么可能会是不正确的值。
Certain Numbers, like dates, look awfully funny as raw data and would not be the correct values if stored without formatting.
例如，一个产品信息报告在默认情况下可能按产品名称排序，但是用户可能希望查看按交货日期排序的数据。
For example, a report of product information may, by default, be sorted by product name, but the user may want to view the data sorted by delivery date.
不久，将有超过万亿的物品能够接受和发送有关其价格、行踪和到期日期的数据。
Soon, more than a trillion items will be able to send and receive data about their price, whereabouts, and expiration dates.
可以为RDF文字给定数据类型，如“整数”、“字符串”、“日期”或甚至是“莫尔斯代码”。
RDF literals can be given data types such as "integer", "string", "date", or even "morse code".
每个卡片不仅记有日期，还有每个数据点的纬度和经度，盐度，温度和深度的测量。
Each card has not only a date but the latitude and longitude, salinity measures, temperatures and depth of each data point.
更糟的是，有可能把日期作为文本数据按照字母顺序来排序。
Worse, it might get ordered by treating the dates as textual data, and alphabetizing them.
构建差异总结报告具有一个额外的特性：它可以在目录中忽略一个日期或者时间标签，这样，就可以方便的比较来自两个不同日期的数据。
The build differences summary report has an additional feature: it can ignore a date or timestamp in the directory path so that the data from two different days' builds can be compared conveniently.
然而，大多数生产XML模式还会利用其他数据类型，比如整数、十进制、日期等等。
However, most production XML schemas make use of other data types as well, such as integer, decimal, date, and so on.
还包括有数值型、日期型和货币型数据。
包含时态数据的表有两个日期-时间列，它们表明每一行有效的期限(时间间隔)。
A table that includes temporal data has a pair of date-time columns that indicate the period (the time interval) when the row is valid.
例如，如果我们只希望了解过去一周的银行帐户交易，则子聚合数据值对象应该使用日期筛选。
For example, if we only want to see the past week's bank account transitions, the child aggregate data value object would have a filter for the date.
在本例中，我们提供了生成数据的日期，文件的当前计数，以及由一组文件及其大小组成的列表。
In this example, we provide the date at which the data was generated, a current count of the files, as well as a list of the files and their sizes.
这两个数据库被关联在一起，执行一个循环便可将一个数据库中的日期与另一个数据库中的日期相比较。
These two databases are joined, and a loop is executed to compare the dates in one database to the dates in the other database.
在查找编号数据(包括日期)时，字典式搜索会产生问题，但是还有弥补的余地。
Lexicographic searching can cause issues when looking for numbered data (including dates), but all is not lost.
DBDATE：外部数据文件中的日期列值采用由这个DBDATE指定的格式。
DBDATE: the date column values in the external data file are in the format specified by this DBDATE.
测试数值数据的数据格式，以确定它是否是日期(参见清单19)。
Test the data format of numeric data to determine whether it's a date (see Listing 19).
固有标签使用现有数据(例如，日期及时间)并向属性添加含意。
Intrinsic tags use existing data (for example, date and time) and add meaning to the attribute.
所有规格都支持与产品领域相关的数据类型，比如字符串、数字和与日期相关的数据类型。
All specifications support relevant data types for the product domain, such as string, number, and date-related data types.
一个数据库选项，用来指定日期维度表在初次启动被创建时预填充的天数(从当前日期开始)。
A database option that specifies the number of days (starting from the current date) to pre-populate in the date dimension table when it creates it on first startup.
比如，有效期只能接受特定格式的实际的日期数据。
For example, the expiration date field might only accept an actual date in a particular format.
处理时间信息不仅仅是选择数据类型(日期、时间或者时间戳)，还涉及使用与本地相关的格式等许多方面。
Handling temporal information has more aspects than choosing a data type (date, time, or timestamp) and using locale-relevant formatting.
数据值分组为所谓的数据片，每个片提供对应于特定处理日期的数据集。
The data values are grouped into so-called slices of data, each of which provides a set of values corresponding to a particular processing date.
然后单击Go，它将把日期数据发送到部署了该流的服务器。
Then click Go, which sends the date data to the server where the flow has been deployed.
由于在查询中引入了更细的粒度，OrderMethod值现在出现了重复，在这里指的是日期数据。
The Order method values now repeat due to the introduction of another level of granularity in the query, in this case, the Date data.
DurationLabel：如果分区键列的数据类型是日期、时间或时间戳，这个参数指定与Constan t值相关的时间单位。
DurationLabel: Identifies the duration that is associated with the Constant value specified if the partitioning key column has been assigned a date, time, or time stamp data type.
但是我们会不会用一个标准的方式和元数据“打包”网站，日期范围之类的？
But will we ever "package" sites, date ranges, and so on in a standard way, with standard metadata?
我曾开发的一个项目拥有细节粒度事务级别的财务数据和日期粒度级别的程序实现。
One project I developed had financial data at the detail grain transaction level and program accomplishments at a day grain level.
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