science

National Database for Autism Research

National Database for Autism Research is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand National Database for Autism Research rather than just read about it. In short: The National Database for Autism Research (NDAR) was an American data repository that promoted scientific data sharing and collaboration among autism researchers. The project was launched in 2006 as a joint effort between five institutes and multiple national institute centers.

Key takeaways

National Database for Autism Research belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect National Database for Autism Research to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of National Database for Autism Research from memory before moving on to harder problems.

Reference excerpt

The National Database for Autism Research (NDAR) was an American data repository that promoted scientific data sharing and collaboration among autism researchers. The project was launched in 2006 as a joint effort between five institutes and multiple national institute centers. The goal of NDAR was to provide a shared common platform for data collection, retrieval, and archiving to accelerate the advancement of autism research. As of November 2013, data from over 90,000 research participants was available to qualified investigators through the NDAR portal. By 2018, NDAR had been subsumed by the National Institute of Mental Health (NIMH) Data Archive.

Oversight and governance The director of NIMH oversaw NDAR and its implementation and belonged to a governing committee responsible for its ongoing management. This committee included several other National Institutes of Health (NIH) institute and center directors or their designees. The NDAR Implementation Team was one of the groups providing direction on NDAR, specifically data submission and access, in order to promote consistent participant protections. The Autism Informatics Consortium was launched in 2011 with the goal of making informatics tools and resources to autism researchers. Members at launch included Autism Speaks, the Kennedy Krieger Institute, the Simons Foundation, Prometheus Research, and the NIH.

Projects

Global Unique Identifier The NDAR Global Unique Identifier (GUID) is a subject identifier used to protect the confidentiality of a research subject. The GUID was the result of a collaboration between NDAR, the Simons Foundation, and a team of researchers from Columbia University.

Data dictionary As of 2014, NDAR provided and curated a data dictionary containing over 400 instruments (forms) for data definition by the autism researcher community.

Tools After analyses of functional genomics acquisition and storage criteria, as well as a review of the needs of the research community, NDAR staff developed a tool to better define the relationship between the samples and data files.

Data sharing As of 2012, NDAR supported the receipt of unprocessed brain images in DICOM format, as well as processed images in variety of formats, including DICOM, MINC 1.0 and 2.0, Analyze, NIfTI-1, AFNI and SPM. Images could be visualized using the built-in image registration and visualization tool (MIPAV). By 2015, NDAR was accessible through the LONI Pipeline processing environment. The repository also provided basic descriptive and aggregate summary information for general public use.

Federation As of 2012, NDAR was federated with four other private databases: the Autism Genetic Resource Exchange, the Autism Tissue Program, and the Interactive Autism Network. This federation allowed the data to be kept in its respective locations while enabling users to search across the databases simultaneously. These repositories all used the NDAR GUID, as well as common data definitions.

Retirement On July 11, 2017, the NIMH proposed combining NDAR with several other digital repositories, including the Research Domain Criteria Database, the National Database for Clinical Trials Related to Mental Illness, and the NIH Pediatric MRI Repository, under the banner of the NIMH Data Archive. By 2018, the newly combined archive had begun releasing new data sets to researchers.

Awards 2008 and 2009 NIH Award of Merit 2011 HHS Innovates Award NIMH's Top 10 Research Advances of 2011

See also Interagency Autism Coordinating Committee

Notes

References

External links Official website (archived July 15, 2017) NDAR Federation Creates Largest Source of Autism Research Data to Date NIH Autism Coordinating Committee NIH Funds New Program to Investigate Causes and Treatment of Autism Sharing Heterogeneous Data: the National Database for Autism Research

Worked examples

Example 1 — a first encounter with National Database for Autism Research

Start with the simplest possible case. Write down what National Database for Autism Research claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to National Database for Autism Research before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about National Database for Autism Research ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of National Database for Autism Research

In research: National Database for Autism Research appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses National Database for Autism Research in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: National Database for Autism Research is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2006 establishments in the United States, Autism-related organizations based in the United States, Medical databases, so understanding it makes those chapters shorter.
In everyday life: Look for National Database for Autism Research outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study National Database for Autism Research in 20 minutes

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Close the page and write down what National Database for Autism Research means in your own words.
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Frequently asked questions

What is National Database for Autism Research in simple terms?

Why does National Database for Autism Research matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study National Database for Autism Research?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on National Database for Autism Research.