Columbia U to develop first international registry of solid earth samples

November 18, 2004

The Earth Institute at Columbia University, NYC-A team from the Lamont Doherty Earth Observatory at Columbia University has received funding from the National Science Foundation to develop the first international digital registry to provide unique identification of solid earth samples.

"The Solid Earth Sample Registry (SESAR) will address the urgent need for unique sample identifiers so that sample-based data can be shared and preserved," says project leader Kerstin Lehnert. "The study of solid earth samples is key to our knowledge of Earth's dynamical systems and evolution. Inconsistent or redundant naming of samples has hampered the ability of the whole field to share and integrate data. SESAR will be a big step forward in the development of a geoscience cyberinfrastructure."

Under the new system, each sample will obtain a globally unique serial number, the International Geo Sample Number IGSN, when it is registered in the system. Sample registration will include submission of information about the sample such as collection location, collection time and collector/owner. The system will solve a longstanding, major problem in the geosciences in which samples lose their "identity" as their names get changed as aliquots are passed from one investigator to another. It will facilitate sharing of data, linking of databases, and cooperation among investigators at different institutions. Other relational databases have been established recently that provide a vehicle for linking disparate data, but none has been able to overcome the problem of confused sample names.

The SESAR system will be ready for use by the end of 2004, according to Lehnert. Updates on its development will be available at
The Lamont-Doherty Earth Observatory, a member of The Earth Institute at Columbia University, is one of the world's leading research centers examining the planet from its core to its atmosphere, across every continent and every ocean. From global climate change to earthquakes, volcanoes, environmental hazards and beyond, Observatory scientists provide the basic knowledge of Earth systems needed to inform the future health and habitability of our planet.

The Earth Institute at Columbia University

Related Data Articles from Brightsurf:

Keep the data coming
A continuous data supply ensures data-intensive simulations can run at maximum speed.

Astronomers are bulging with data
For the first time, over 250 million stars in our galaxy's bulge have been surveyed in near-ultraviolet, optical, and near-infrared light, opening the door for astronomers to reexamine key questions about the Milky Way's formation and history.

Novel method for measuring spatial dependencies turns less data into more data
Researcher makes 'little data' act big through, the application of mathematical techniques normally used for time-series, to spatial processes.

Ups and downs in COVID-19 data may be caused by data reporting practices
As data accumulates on COVID-19 cases and deaths, researchers have observed patterns of peaks and valleys that repeat on a near-weekly basis.

Data centers use less energy than you think
Using the most detailed model to date of global data center energy use, researchers found that massive efficiency gains by data centers have kept energy use roughly flat over the past decade.

Storing data in music
Researchers at ETH Zurich have developed a technique for embedding data in music and transmitting it to a smartphone.

Life data economics: calling for new models to assess the value of human data
After the collapse of the blockchain bubble a number of research organisations are developing platforms to enable individual ownership of life data and establish the data valuation and pricing models.

Geoscience data group urges all scientific disciplines to make data open and accessible
Institutions, science funders, data repositories, publishers, researchers and scientific societies from all scientific disciplines must work together to ensure all scientific data are easy to find, access and use, according to a new commentary in Nature by members of the Enabling FAIR Data Steering Committee.

Democratizing data science
MIT researchers are hoping to advance the democratization of data science with a new tool for nonstatisticians that automatically generates models for analyzing raw data.

Getting the most out of atmospheric data analysis
An international team including researchers from Kanazawa University used a new approach to analyze an atmospheric data set spanning 18 years for the investigation of new-particle formation.

Read More: Data News and Data Current Events is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to