Showing posts with label database. Show all posts
Showing posts with label database. Show all posts

Friday, September 16, 2011

Blog: Data May Not Compute

Data May Not Compute
Harvard Gazette (09/16/11) Alvin Powell

The fast pace of technology's advance has left some data behind as data stored on tapes, floppy disks, and other media that is now unreadable by modern computers is essentially lost. In addition, file formats change as new programs are developed, making older programs obsolete. To help save this lost data, Harvard University's Institute for Quantitative Social Science (IQSS) is leading the Dataverse Network Project, which provides archival storage for scientific research projects. IQSS provides professional archiving standards designed to ensure future access to data. Once a researcher's data is entered into the system, it is converted from its original file format into a basic one that ensures the information will remain readable for decades. When that format becomes obsolete, the system will automatically convert the data to a new format that also is designed to last for decades, says IQSS director Gary King. The institute currently hosts more than 350 individual researchers' Dataverses, which includes about 40,000 studies and 665,000 files, according to IQSS' Merce Crosas. The software's open source design allows other researchers to add features that can be shared with the community of users.

Tuesday, April 5, 2011

Blog: Microsoft Researchers: NoSQL Needs Standardization

Microsoft Researchers: NoSQL Needs Standardization
InfoWorld (04/05/11) Joab Jackson

The growing number of non-relational structured query language (NoSQL) databases needs standardization in order to thrive, according to Microsoft researchers. "Programming, deploying, and managing NoSQL solutions requires specialized and low-level knowledge that does not easily carry over from one vendor's product to another," write Microsoft's researchers Erik Meijer and Gavin Bierman in the April issue of Communications of the ACM. The researchers developed coSQL, a mathematical data model and standardized query language that could be used to combine NoSQL and SQL data models. The researchers say that NoSQL could benefit from the same type of standardization that SQL experienced in the early 1970s. "Just as Codd's discovery of relational algebra as a formal basis for SQL ... propelled a billion-dollar industry around SQL, we believe that our categorical data-model formalization and monadic query language will allow the same economic growth to occur for coSQL key-value stores," the researchers write.

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