{"title":"开放获取数字信息:电子地球物理年期间确定的机遇和挑战","authors":"W.K. (Bill) Peterson","doi":"10.2481/DSJ.IGY-002","DOIUrl":null,"url":null,"abstract":"The vision of the Electronic Geophysical Year (eGY) is that we can achieve a major step forward in geoscience capability, knowledge, and usage throughout the world for the benefit of humanity by accelerating the adoption of modern and visionary practices such as virtual observatories for managing and sharing data and information. eGY has found that the biggest challenges to implementing the vision are educating program mangers and senior scientists on the need for modern data management techniques and providing incentives for practitioners of the new field of geoinformatics.","PeriodicalId":35375,"journal":{"name":"Data Science Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Open Access to Digital Information: Opportunities and Challenges Identified During the Electronic Geophysical Year\",\"authors\":\"W.K. (Bill) Peterson\",\"doi\":\"10.2481/DSJ.IGY-002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The vision of the Electronic Geophysical Year (eGY) is that we can achieve a major step forward in geoscience capability, knowledge, and usage throughout the world for the benefit of humanity by accelerating the adoption of modern and visionary practices such as virtual observatories for managing and sharing data and information. eGY has found that the biggest challenges to implementing the vision are educating program mangers and senior scientists on the need for modern data management techniques and providing incentives for practitioners of the new field of geoinformatics.\",\"PeriodicalId\":35375,\"journal\":{\"name\":\"Data Science Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data Science Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2481/DSJ.IGY-002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Science Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2481/DSJ.IGY-002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
Open Access to Digital Information: Opportunities and Challenges Identified During the Electronic Geophysical Year
The vision of the Electronic Geophysical Year (eGY) is that we can achieve a major step forward in geoscience capability, knowledge, and usage throughout the world for the benefit of humanity by accelerating the adoption of modern and visionary practices such as virtual observatories for managing and sharing data and information. eGY has found that the biggest challenges to implementing the vision are educating program mangers and senior scientists on the need for modern data management techniques and providing incentives for practitioners of the new field of geoinformatics.
期刊介绍:
The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.