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The USA IM LTER Case:

A different story. The USA IM LTER Case:. Melendez, 2011. The role of Information Management in the evolution of Informatics: two perspectives About Informatics and Information Management Concepts Two sources for one story: goals, issues solutions your book

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The USA IM LTER Case:

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  1. A different story The USA IM LTER Case: Melendez, 2011

  2. The role of Information Management in the evolution of Informatics: two perspectives • About Informatics and Information Management Concepts • Two sources for one story: goals, issues solutions • your book • an LTER information management paper • LUQ LTER Case Overview Melendez, 2011

  3. Observe that while one studies the information the other includes the information per se, and that while one studies the design of the information the other one includes the design of the structure Two words one concept? • INFORMATICS (pp 14 in Reddy 2009): • “discipline of science which investigates the structure and property (not specific content) of scientific information as well as the regularities of scientific information activity, its theory, history, methodology and organization” (1967) or the • “interdisciplinary study of the design, application, use and impact of information technology” (2008 on) (pp 16) • INFORMATION MANAGEMENT (Wikipedia) • is the collection and management of information from one or more sources and • the distributionof that information to one or more audiences. • This sometimes involves those who have a stake in, or a right to that information. • Management means the organization of and control over the structure, processing and delivery of information. Melendez, 2011

  4. Ambiguity in Understanding Roles: IT and IM Computer Science Computer Science IM/IT IT/IM Earth Science Earth Science Figure 5a. Domain Science Perspective. An earth science point of view where information technology is considered close to information system and computer science. Figure 5b. Computer science perspective. A computer science point of view where information management is considered closer to domain science. Baker and Millerand, 2007

  5. What is Informatics? Informatics is an applied science, an interdisciplinary field of study at the intersection of social sciences, information sciences, and domain science. Domain Sciences Social Sciences Information Sciences Baker and Millerand, 2007

  6. On ILTER: • …”has the unique ability to design collaborative, site base projects, compare data from a global network of sites and detect global trends. ILTER members also have the expertise in the collection, management and analysis of long-term environmental data” pp 31 • On KNB (Knowledge Network for Bio-Complexity) • “We have conceived of the KNB as a mechanism for scientists to discover, access, interpret, analyze, and synthesize the wealth of data that is collected by ecological and environmental scientists nationally (and eventually internationally) pp 46 - 47 Ecoinformatics: Tools and Techniques by R A Teddy Melendez, 2011

  7. On data curation related to data sharing • by drawing on an ethnographic study of one of the longest-running efforts at long-term consistent data collection with open data sharing in an environment of interdisciplinary collaboration. • On the continuous and historical role of the LTER information managers • through data care work and information infrastructure development. http://interoperability.ucsd.edu/publications/ Enriching the Notion of Data Curation in E-Science: Data Managing and Information Infrastructuring in the Long Term Ecological Melendez, 2011

  8. The Goal or drives: (from Helena Karasti et al., 2006) From The International Journal of Digital Curation Issue 2, Volume 4 ,2009: data curation is defined as a set of repeated and repeatable activities focusing on tending data and creating data products within a particular arena. “ways of organizing, displaying, and repurposing preserved data.” Melendez, 2011

  9. The Goals or drives: (as defined in the Reddy, 2009) Melendez, 2011

  10. The Challenge: (from Helena Karasti et al., 2006)

  11. The infrastructure for this network must deal with major impediments to synthesizing data on ecology and the environment: • Data is widely dispersed • Data is heterogeneous, and • Synthetic analysis tools are needed The Impediments: (as defined in the Reddy, 2009) Melendez, 2011

  12. The solution: (as defined in the Reddy, 2009) Melendez, 2011

  13. The Solution: the site – network model Melendez, 2011

  14. The Solution: the site – network model Melendez, 2011

  15. US LTER since 1980 A social network: • 2100 participants • 26 site biomes • Network Office A technological network: • 26 25 information managers • Loose network supporting local site data repositories • Sites work in collaboration on Network Information System • Instrumenting the ecosystem Long Term Ecological Research Network site network

  16. LTER: http://lternet.edu

  17. 4 LTER proposals since 1988 • Information Management began in 1989 • Evolution and Development of an Information Management system • the Web site as a window to the site’s Information Management System (IMS) • the website as the IMS framework • Close working collaboration with the LTER Network Office (LNO) • Close working collaboration with the information managers: conceptual framework LUQ LTER Case Melendez, 2011

  18. History OF LUQ LTER events in the lter Need to document Need to team up and publish metadata Need to have searchable data in the web site 2001 on 1989 on 1995 on Organizing, cataloguing; Develop LUQ documentation standards and protocols Documenting and publishing the data on our first web Decadal Plan and the adoption of the EML standard Melendez, 2009

  19. History • luq LTER online data sets Melendez, 2009

  20. At the site level • Data gathering • Data entry • Data quality control • Data sharing • At the network level • EML: Ecological Metadata Language • Specialized network databases: climdb/hydrodb, GIS (under development) Luqlter protocols Melendez, 2011

  21. progress LUQ EML METADATA PACKAGES DEVELOPED Melendez, 2011

  22. history Dataset Design -PI -Information Manager Data Collection Data Entry Revision Quality Control and Assurance Metadata Preparation Revision Review Data Publication on WWW • data filing protocol* Melendez, 2009 * Diagram graphics was designed by J. Porter in 2006

  23. The LUQ Web Site

  24. Data Production Community Reuse Traditional: Mode 1 Local Use Publications Reports Individual Research Disciplinary Contemporary: Mode 2 Data Delivery New Practices Collaborative Research Interdisciplinary Data Exchange Knowledge production Modes of Knowledge Production Data Baker and Chandler, DSR, 2008

  25. Our Vision

  26. LUQ New IMS Framework

  27. US Network: EML, Metacat, (data harvestin • Outreach: • Schoolyard • ILTER: China, Malaysia (The Kepler Example) • Other Networks: ULTRA, CTFS The LUQ Network Connection

  28. What is the name for those who work with data? Data manager Information manager Informaticist (ie physicist, geneticist) Informatician (ie statistician) Informologist (ie biologist) Informateer (iemouseketeer) Informatics specialist (ie on-the-job training) Data librarian (ie information & library sciences) Data scientist (ie data & domain expertise) Data curator (ie with data repository) Information Professionals Baker and Chandler, DSR, 2008

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