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## Data download update (Oct 2023)
## update December 2023

Please follow this guideline for downloading data from NDA.
The third data release in currently underway.

Data that are available now:
- Neonatal data: native and processed. Structural, DTI, fMRI.
- Fetal data: native and processed. Structural, DTI, fMRI.
- Clinical information about pregnancy and birth.
- Genomics.
- Eye-tracking data at 18 months of age.

Upcoming data (pending NDA approval):
- Neurodevelopmental outcome at 18 months of age.

## HOW TO ACCESS AND DOWNLOAD THE DATA:
All data are uploaded on the NDA website https://nda.nih.gov/edit_collection.html?id=3955. The NDA is responsible for all data governance. Please follow the guidelines below on how to request access and download the data:

[Updated guidelines - download from NDA](https://github.com/BioMedIA/dHCP-release-notes/tree/master/supplementary_files/Guidelines%20downloading%20data%20v3.pdf)

Expand All @@ -18,11 +31,7 @@ structural connectivity data (diffusion MRI) and functional connectivity
data (resting-state fMRI). This data release comes with minimal accompanying
metadata: sex, age at birth, age at scan, birthweight, head circumference
and radiology score. More specific information about the available data
can be found in the [data organisation notes](organisation.html). To
access the data you will be required to agree to a simple [data sharing
agreement](http://www.developingconnectome.org/open-access-dhcp-data-terms-of-use-version-4-0_2019-05-23/)
and will then be provided with access routes to two different modes of
data download.
can be found in the [data organisation notes](organisation.html).

We invite colleagues in the field to explore and
[feedback](https://neurostars.org/tags/developing-hcp) on the value and
Expand All @@ -31,10 +40,7 @@ using analysis pipelines that are subject to further development. If you
use this data or the pipelines please cite the appropriate publications as
detailed in the [How to cite](cite.html) notes.

The project to date has successfully completed over 800 neonatal scans and
300 fetal scans. Further
data releases are planned - these will be announced on the dHCP website
when they are ready.


<!---
## News
Expand Down Expand Up @@ -62,32 +68,6 @@ by the Wellcome/EPSRC Centre for Medical Engineering [WT 203148/Z/16/Z]. We are
also thankful to the WU-Minn-Oxford Human Connectome Project consortium
(1U54MH091657-01) for access to their computing resources.

Study data were collected and managed using REDCap electronic data capture
tools hosted at King's College, London.

REDCap (Research Electronic Data Capture) is a secure, web-based software
platform designed to support data capture for research studies, providing
1) an intuitive interface for validated data capture; 2) audit trails
for tracking data manipulation and export procedures; 3) automated export
procedures for seamless data downloads to common statistical packages; and 4)
procedures for data integration and interoperability with external sources.

Harris, PA., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., Conde,
JG., **Research electronic data capture (REDCap) – A metadata-driven
methodology and workflow process for providing translational research
informatics support**, *J Biomed Inform. 2009 Apr;42(2):377-81.* [DOI:
10.1016/j.jbi.2008.08.010](https://doi.org/10.1016/j.jbi.2008.08.010)

Harris, PA., Taylor, R., Minor, BL., Elliott, V., Fernandez, M.,
O’Neal, L., McLeod, L., Delacqua, G., Delacqua, F., Kirby, J., Duda,
SN., REDCap Consortium, **The REDCap consortium: Building an international
community of software partners**, *J Biomed Inform. 2019 May 9* [DOI:
10.1016/j.jbi.2019.103208](https://doi.org/10.1016/j.jbi.2019.103208)

Burns, SS., Browne, A., Davis, GN., Rimrodt, SL., Cutting, LE. **PyCap
(Version 1.0)** *Nashville, TN: Vanderbilt University
and Philadelphia, PA: Childrens Hospital of Philadelphia.
[https://github.com/sburns/PyCap](https://github.com/sburns/PyCap)*
[DOI: 10.5281/zenodo.9917](http://doi.org/10.5281/zenodo.9917)



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