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What training and resources are offered with the tool?

Wednesday, May 15, 2019 - 7:44pm

An “Application Programming Interface” (API) is offered on the platform where this project is hosted. Moreover, there is a brief description on how to install the software, including additional information on the JSON Schema that the software was modelled after.

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What funding sources supported the development of the tool?

Wednesday, May 15, 2019 - 7:43pm

Majority of the funding for this project is provided by the Alfred P. Sloan Foundation and the National Science Foundation.

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What data management needs prompted the designers to create this tool?

Wednesday, May 15, 2019 - 7:43pm

The Data Type Registry addresses the issues concerning data management operability and the characteristics of a dataset that enable sharing among data creators.

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When did development on the tool begin? When was the tool published? Are the designers still working on updates and improvements?

Wednesday, May 15, 2019 - 7:42pm

The Data Type Registry began as a project funded by the Alfred P. Sloan Foundation starting in 2012, and the National Science Foundation supported the project starting in 2013. Currently, there are no updates or improvements that have been announced. 

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Who designed the tool, and why?

Wednesday, May 15, 2019 - 7:41pm

This tool was created by the Corporation for National Research Initiatives, and tt was created in order to address the issues regarding information management system interoperability, essentially, the ability to parse, understand, and reuse data provided by data creators.

 

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Describe the tool, its aims, and its features.

Wednesday, May 15, 2019 - 7:40pm

The Data Type Registry is a project that aims to solve the issues that exists around information management system operability, and focusing specifically on enabling data creators to parse, understand, share, and reuse data created by others. The project states that “the goal of the Data Type Registry effort is to allow data producers to record the implicit details of their data in the form of Data Types and to associate those Types, each unique identified, with different instances of datasets. Data consumers can then resolve the Type identifiers to Type records for gaining knowledge of the implicit assumptions in order to understand and process the data without additional support from data producers.” The project not only focuses on file types, but also on the type of data represented in a dataset and the meanings and connotations behind each dataset value.   

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