What everybody else has said is completely true -- the type of data makes a
huge, huge difference in how you want to present it on the Web.

If it's social-sciences-type data, though, and you're interested in making
it explorable in a regular web browser, you might take a look at SDA. SDA
stands for "Survey Documentation and Analysis," but it will work on any
data that you can reasonably represent in a spreadsheet-type format (rows
of cases with columns of values for different variables), even if it's an
overwhelmingly massive number of rows and columns. It's not cheap, but I
really like the user experience from the front end. (I teach a *lot* of
students to use it when I'm wearing my data services librarian hat.)
http://sda.berkeley.edu/

IASSIST (the International Association for Social Science Information
Science and Technology) is a good resource on this topic for social
sciences data:
http://www.iassistdata.org/resources/category/data-management-and-curation.
Their mailing list is closed, but I'm a member, so if you're working with
social sciences data I'd be happy to post your question there and pass on
any responses.

Julia



*********************************************

Julia Bauder

Social Studies and Data Services Librarian

Grinnell College Libraries

1111 Sixth Ave.

Grinnell, IA 50112






On Wed, Jul 23, 2014 at 4:29 PM, Kyle Banerjee <[log in to unmask]>
wrote:

> We've been facing increasing requests to help researchers publish datasets.
> There are many dimensions to this problem, but one of them is applying
> appropriate metadata and mounting them so they can be explored with a
> regular web browser or downloaded by expert users using specialized tools.
>
> Datasets often are large. One that we used for a pilot project contained
> well over 10,000 objects with a total size of about 1 TB. We've been asked
> to help with much larger and more complex datasets.
>
> The pilot was successful but our current process is neither scalable nor
> sustainable. We have some ideas on how to proceed, but we're mostly making
> things up. Are there methods/tools/etc you've found helpful? Also, where
> should we look for ideas? Thanks,
>
> kyle
>