Data Documentation Initiative 3 (DDI 3) Data Extraction Tools from Colectica Awarded an NIH Grant

The Data Documentation Initiative 3 (DDI 3) standard is a simply fabulous and full standard for metadata (data about data) as well as for the data contents, making it a full payload standard.

DDI 3 is such an exciting standard because it allows for the possibility of true and full computational support for data harmonization and for really working with longitudinal data. It’s the type of data standard I’d been waiting for because it gets it. Data standards need to be able to support documenting, containing, expressing, and computing (analysis, harmonization, limitations on disclosure, everything we now do with less than ideal systems and methods). DDI 3 does this and that’s why groups like ICPSR are already using it.  DDI 3 is already on its way to becoming ubiquitous, but more tools for it are needed.

News of others using and supporting DDI 3 is always good. Thus, it’s wonderful news that Colectica has been awarded an NIH Grant for DDI 3-based data extraction tools. From the Colectica website:

The award is a Phase I grant that provides supplemental support of Algenta’s research on an “Open Standards-Based Data Extraction Web Tool for Complex Longitudinal Datasets”. This Phase I feasibility study aims to analyze to data preparation and metadata creation workflow needed to prepare a study for online data extraction, to validate the use of the Data Documentation Initiative’s DDI 3 standard for the basis of such a tool, and to create prototype web-based data extraction software. While the focus is on longitudinal surveys, the proposed system would also handle cross-sectional, time-series, and non-repeated studies. The aim is to improve research methodologies through a simplification of the process used for discovering, retrieving, and analyzing data relevant to a researcher’s investigation and to improve data citations, aiding in reproducible research. The research includes consultation with researchers from ICPSR at the University of Michigan-Ann Arbor and the Mid-Life in the United States Longitudinal Study at the University of Wisconsin-Madison.