收稿日期: 2003-11-10
修回日期: 2004-06-03
网络出版日期: 2005-02-25
基金资助
国家科学数据共享工程项目“中国地球系统科学数据共享服务网建设”（编号：2003DEA2C010）；中国科学院知识创新工程项目“中国自然资源数据库”（编号：INF105-SDB-1-18）资助.
DEVELOPMENT, PUBLISHING AND SHARING OF DATA PRODUCTS FOR GEO-SCIENCES
Received date: 2003-11-10
Revised date: 2004-06-03
Online published: 2005-02-25
廖顺宝 , 彭梅 , 孙九林 , 马琳 , 李泽辉 . 地学数据产品的开发、发布与共享[J]. 地球科学进展, 2005 , 20(2) : 166 -172 . DOI: 10.11867/j.issn.1001-8166.2005.02.0166
Data is the foundation of scientific research, and in the mean time, it is the result of scientific research. Data sharing can make data more usefully valuable to a great extent. Data sharing is a systematic engineering which includes not only data itself but also software platform for data sharing, technical standards, sharing policy, administrative mechanism and data service. Data is the most basic and important element in data sharing engineering. Geo-science data have attributes of space, time, integration, great capacity and multi-sources. It is costly work to capture geo-science data. Therefore, it is more necessary to share them among different organizations or scientists. Tabular data, remotely sensed data and vector data are most important and often used types of geo-science data. Because of limitations of various kinds of original data, such as statistical data, remotely sensed spectral data(e.g. TM, NOAA-AVHRR,MODIS), map data and so on, besides them, series of data sets should be developed to meet the need of basic and forward research for geo-science. By means of spatialisation technique, observed data from observation stations can be used to calculate data in areas without observation stations and statistical data from administrative divisions can be re-assigned to regular grid, for example, one kilometer by one kilometer. Through various algorithms, remotely sensed spectral data can be used to produce data sets with obvious geo-science sense, for example, Vegetation Index (VI) and Net Primary Production(NPP).The software platform is important technological support for geo-science data sharing. It should be easy to use and include the following fundamental functions: (a) users management; (b) data catalogue query; (c) metadata management; (d) data query and view; and (e) data download.In order to promote scientific data sharing, relevant policies, measures and standards should be drawn up. Reasonable appraising system for people who are engaged in work of data should be set up to encourage they devote themselves to data sharing.
Key words： Geo-sciences; Data; Production; Sharing.
［1］Liao Shunbao.Scientific data sharing and its solutions based on internet[J].Science & Technology Review,2002:(1):25-27.[廖顺宝.科学数据共享及其在互联网上实现的技术途径[J].科技导报,2002,(1):25-27.]
［2］Sun Shu.Learn new things by reviewing the past, carry on the past and open a way for future-A special issue of review and forecast on subjects related to geoscience(preface)[J] .Advances in Earth Science,2001,16(5):597-598.[孙枢.温故知新继往开来——地球科学有关学科回顾与展望专辑(序)[J].地球科学进展,2001,16(5):597-598.]
［3］Liao Shunbao, Sun Jiulin.GIS based spatialisation of population census data in Qinghai-Tibet Plateau[J].Acta Geographica Sinica,2003,58(1):25-33.[廖顺宝,孙九林.基于GIS的青藏高原人口统计数据空间化[J].地理学报,2003,58(1):25-33.]
［4］Liao Shunbao, Li Zehui.Study on spatialisation of population census data based on relationship between population distribution and land use-Taking Tibet as an example[J].Journal of Natural Resources,2003,(6):659-665.[廖顺宝,李泽辉.基于人口分布与土地利用关系的人口数据空间化研究——以西藏自治区为例[J].自然资源学报,2003,(6):659-665.]
［5］Liao Shunbao, Li Zehui .A methodology of spatialisation of observed data based on GIS[J].Progress in Geography,2003,22(1):87-93.[廖顺宝,李泽辉.基于GIS的定位观测数据空间化[J].地理科学进展,2003,22(1):87-93.]
［6］Sun Jiabing, Shu Ning, Guan Zequn.Fundamentals, Methods and Application of Remote Sensing [M].Beijing: Publishing House of Survey and Mapping,1997.[孙家柄,舒宁,关泽群.遥感原理、方法和应用[M].北京：测绘出版社,1997.]
［7］Zheng Du.Forming Environment and Development of Qinghai-Tibet Plateau[M] .Shijiazhuang: Hebei Publishing House of Science and Technology,2003.[郑度.青藏高原形成环境与发展[M].石家庄：河北科学技术出版社,2003.]
［8］Liu Chuang, Ge Chenghui.Characteristics and application of remote sensed data from U.S. EOS-MODIS[J].Remete Sensing Information,2000,(3):45-48.[刘闯,葛成辉.美国对地观测系统(EOS)中分辨率成像光谱仪(MODIS)遥感数据的特点与应用[J].遥感信息,2000,(3):45-48.]
［9］Yin Gongbai, Wang Jiayao,Tian Desen, et al.Tian Desen,An Introduction to Map[M].Beijing: Publishing House of Survey and Mapping,1991.[尹贡白,王家耀,田德森,等.地图概论[M].北京：测绘出版社,1991.]
［10］Zhao Junxi, Liu Honglin.Usually used theories and methods for study on spatial data quality[J].Map,2001,(4):16-18 .[赵军喜,刘宏林.研究空间数据质量的常用理论和方法[J].地图,2001,(4):16-18 .]
/
| 〈 |
|
〉 |
甘公网安备62010202000687
