To promote open science and open data in geoscience field, it’s necessary to take in account the feature. The data in geoscience field is sometimes generated by really small group as well as the huge organization such as NASA. One researcher in a small laboratory, he/she sometimes make his/her handmade instrument, observe by him/herself, and generate data by him/herself.
In this poster, we show a case example that a researcher and two 20 years old students tried to make their instrument, observed themselves, and create draft metadata to share the data for open science and open data.
Disentangling the origin of chemical differences using GHOST
Start up of earth observation by a small laboratory
1. Start-up of earth observation by a small laboratory
Yusuke MIYANARI*1*4, M. YAMAUCHI*2*4, Y. KOYAMA*3*5,
*1orcid.org/0000-0001-9064-7956, *2orcid.org/0000-0002-4077-8111, *3orcid.org/0000-0001-5363-3870
*4Advanced Course of the Electrical, Electronics Information Engineering Major, National Institute of Technology, Oita College, Japan
*5Department of Information Engineering, National Institute of Technology, Oita College, Japan
Introduction
To promote open science and open data in geoscience field, it’s necessary
to take in account the feature. The data in geoscience field is sometimes
generated by really small group as well as the huge organization such as
NASA. One researcher in a small laboratory, he/she sometimes make his/her
handmade instrument, observe by him/herself, and generate data by
him/herself.
In this poster, we show a case example that a researcher and two 20 years
old students tried to make their instrument, observed themselves, and create
draft metadata to share the data for open science and open data.
Our group started to construct the meteor radio observation system from
2016 in National Institute of Technology (NIT), Oita College, Japan. Our
system is consist of,
• PC for FFT processing the voice signal from a receiver,
• The receiver adjusted to CW mode of 53.750MHz,
• Handmade Magnetic Loop Antenna (MLA) in Fig.1,
We show the system in Fig.1. Beacon signal is transmitted in 600km away
from our site. We want to catch the reflected signal in the ionosphere with
meteor but before starting the reflected signal observation, we observed direct
wave in Fig.3 just in front of the signal source.
• The HROFFT in Fig.4 has been traditionally used in Japan for
observation of radio waves. You can see some metadata on the image, but
it's free description format, so it’s different in metadata depending on
each observers.
• The HROview in Fig.5 can manually measure the echo duration time
from these output image, and output it in CSV format.
Case Example : Construction of Meteor
Radio Observation System
Conclusion
Fig.4. A spectral analysis [2] by HROFFT. It
can describe more rich metadata on the
image . This old software is no longer
available.
References
[1] Y. Miyanari(2016), System development of the radio wave
observation reflected by meteor in National Institute of
Technology, Oita College (This is unpublished, written in
Japanese)
[2] Meteor radio observation international project,
http://www.amro-net.jp/hro_index.htm
Metadata Description
Fig.3. A spectral analysis by MROFFT. It
can describe metadata for time entry only on
the image.
Fig.5. The HROview can output a few
metadata such as echo duration time in csv
format.
Fig.7. SPASE Ontology.
Fig.2. The MLA in front of the transmitter of
beacon signal.
• Our small research group make our instrument for meteor observation,
observed by ourselves, and create draft metadata.
• To describe metadata is hurdle to judge the metadata item quantity, and
to grasp the metadata model. We belong to department information
engineering, and our interest is information more than science. Isn't it a
big hurdle that a scientist in small group who observes reaches
appropriate metadata model above-mentioned, and describes metadata?
Fig.10. Metadata for DisplayData.
Fig.9. Metadata for Instrument.Fig.8. Metadata for Observatory.
Fig.11. Metadata for Granule.
The Space Physics Archive Search and Extract (SPASE) which is one of
the major ontology for space physics is shown in Fig.7. Japanese IUGONET
project for space physics defined metadata schema based on the model. Then
our small group tried to create metadata based on the metadata schema in
Fig.8 to 11.
These metadata are insufficient.
Fig.6. Workflow for data sharing of the radio meteor observation.
These metadata have not been released to public yet. In the mean time,
temporary resource ID is given to these metadata.
Lesson Learns
For much Principal Investigator, to answer the item about the observational
data itself wouldn't be difficult. However, it's hurdles to judge the metadata
item quantity, and to understand the metadata model.
Here we show the current workflow of the data sharing in Fig.6. A
person intervenes for collection of observation result. If 100% mechanical
processing is possible, this workflow becomes more simple. So next we try
to describe metadata as machine readable format.
Fig.1. Meteor radio observation system block diagram
*2*1 *3