Introduction to Metadata
This article by Professor Anne Gilliland-Swetland, UCLA, provides an introduction to the uses of and need for metadata management.
NSGIC Metadata Primer
Another introduction to metadata.
NPACI: DICE: Mediation of Information Using XML
This article discusses the use of Xstensible Markup Language (XML) for creating interoperable metadata.
An article on generating and maintaining interoperability in metadata.
Definition of a data dictionary.
Education Strategies for Integrating Metadata
Using metadata to describe learning resources.
The Value of Metadata
An article that makes the case for metadata management.
Developing Metadata Standards for Scientific Data Reuse in NCSA's Distributed Grid Architecture
Meta-Data and Data Management Info Page
A portal to metadata workshops, standards, and resources.
USGS Formal Metadata
Metadata for geographical information systems.
A fundamental standard for describing digital resources.
The Open Archival Information System is an ISO standard reference model for creating preservation systems.
Open Archives Initiative
The OAI develops and promotes interoperability standards for digital content. The Web site has specifications for a metadata harvesting protocol, among other important documents.
DLESE Metadata Homepage
Digital Library for Earth Science Education metadata information.
Alexandria Digital Earth Prototype project metadata resources.
IEEE LTSC Learning Objects Metadata WG Home
Describes LOM, an important metadata standard for educational resources.
Article on LTER metadata
LTER Metadata Task Group
Content Standard for Digital Geospatial Metadata. Part 1: Biological Data Profile
Biological extension of government standard for geospatial metadata.
Ecological Metadata Language (EML v2.0)
EML is becoming more widely accepted for new data sets. Open source metadata repository tools and interfaces, as well as a validation service.
Biological Metadata Standard Factsheet
General resource for describing biological resources.
HJ Andrews Experimental Forest LTER : A New Structure for Ecological Metadata
Content Standard for Digital Geospatial Metada (CSDGM)
Government standard for geospatial metadata.
Geography Markup Language, v2.0
Another standard for geographical information system data.
Emerging standard for describing sensors for Web-based management and resource discovery.
Article: Moving Sensor Data onto the Internet with SensorML
Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata, FGDC-STD-012-2002
Remote sensing extension for CSDGM.
NeesML (Network for Earthquake Engineering Simulation Metadata Language)
Emerging standard for NEES repository data.
Digital Libraries - General Resources
Digital Libraries Initiative Phase 2
Interoperability, Scaling, and the Digital Libraries Research Agenda. A Report on the May 18-19, 1995, IITA Digital Libraries Workshop, August 22, 1995
NSF Post Digital Library Futures Workshop
Dspace Digital Asset Management system
DSpace is an open source digital asset management system developed by a collaboration of MIT and HP.
Interactive Archives for Scientific Data
An article from IBM.
CLRC e-Science Centre Data Portal
British multidisciplinary research data portal.
The CLRC Scientific Metadata Model
Scientific Metadata Language (SML) reference for general scientific resource description.
San Diego Supercomputing Center (SDSC) Storage Resource Broker (SRB)
Technology specifications for developing seamless federated repositories and interfaces.
Global Biodiversity Information Facility
The Knowledge Network for Biocomplexity Building and Evaluating a Metadata-based Framework for Integrating Heterogeneous Scientific Data
NASA Global Change Master Directory
Source for data and other data management resources on global change.
U.S. Global Change Research
GCDIS Data and Information Working Group, DIWG
LTER (The U.S. Long Term Ecological Research Network)
Many longitudinal data sets of varying temporal and spatial scales.
The Ameriflux project is a large-scale initiative to measure long-term CO2 and water vapor fluctuations and biomass changes in the canopy layer.
National Ecological Observatory Network (NEON)
The purpose of NEON is to provide a national facility for environmental scientists connected via virtual networks to stimulate cross-disciplinary research, predictive modeling, and data sharing.
UC Natural Reserve System (NRS)
University of California reserve system information and data sets (incomplete)
"Ecological Informatics: a Long-Term Ecological Research Perspective" by William K. Michener and James W. Brunt
"Transition from a Legacy Databank to an Integrated Ecological Information System" by Donald L. Henshaw, Gody Spycher, Suzanne M. Remillard
"Using XML-encoded Metadata as a Basis for Advanced Information Systems for Ecological Research" by Peter H. McCartney and Matthew B. Jones
"Research Metadata in Long-Term Ecological Research (LTER)" by John H. Porter, Donald L. Henshaw, Susan G. Stafford
"Nongeospatial metadata for the ecological sciences" by William K. Michener, James W. Brunt, John J. Helly, Thomas B. Kirchner, Susan G. Stafford
NSF / USGS / NASA Workshop*
Research Directions in Biodiversity and Ecosystem Informatics. June 22-23, 2000, Greenbelt, MD
LTER Network Document Archive
(LTER) The 6th World Multiconference on Systematics, Cybernetics, and Informatics
President’s Committee Of Advisers On Science And Technology (PCAST). Teaming with Life: Investing in Science to Understand and Use America’s Living Capital PCAST Panel on Biodiversity and Ecosystems
Sharing Publication-Related Data and Materials: Responsibilities of Authorship in the Life Sciences (2003)
Data and Information Management in the Ecological Sciences. A Resource Guide. Michener, William K., John H. Porter, and Susan G. Stafford - editors, 1998.
National Research Council's Finding the Forest in the Trees: the Challenge of Combining Diverse Environmental Data.
Ecological Society of America (ESA) Committee Report: Future of Long-term Ecological Data (FLED)
Geoff Bowker’s work
Professor Bowker is a professor in the Department of Communication at UC, San Diego. He has written extensively on data, records, and research in the sciences.
Using Data in the Classroom
A Radical Formula for Teaching Science
The WorldWatcher Project
Freeware GIS and mapping tools for the Grade 7-12 crowd.
LTER inquiry-based educational projects in schools.
Ecology Explorers: Doing Science in Your Schoolyard
ASU LTER biodiversity application for the Ecology Explorers educational program at CAP LTER. In this application XML provides a map between Ecological Metadata Language (EML) descriptions of several datasets and some fundamental parameters that K-12 users will explore through the guided applications
UCAR/NOAA JOSS Data Management Center
UCAR is a consortium of universities engaged in atmospheric research.
Water Resources Data
U.S. Geological Survey data sets.
National Oceanographic Data Center
Oceanographic data sets from the National Oceanographic and Atmospheric Administration.
Southern California Earthquake Data Center (SCEDC)
SCEDC gathers and disseminates information and data about earthquakes in Southern California.
IRIS (Incorporated Research Institutions for Seismology)
Consortium of universities engaged in the collection and distribution of seismic data.
Network for Earthquake Engineer Simulation (NEES)
National network of simulation resources built to advance earthquake engineering simulation through experimentation, data sharing, and simulation.
NEES grid: Virtual Collaboratory for Earthquake Engineering
ESRI (GIS and Mapping software, including the Arc suite)
Open GIS Consortium, Inc. (OGC)
Consortium with a mission to deliver open source specifications that will enable GIS data providers and users to freely exchange data, tools, and resources.
FGDC Geospatial Data Clearinghouse Activity
The Federal Geographic Data Committee is tasked by Executive Order to develop distributed discovery mechanisms for digital geospatial data. They have developed the CSDGM metadata standard for GIS.
Geographic Information Systems at UCLA
Geographic Information Systems at U.S. Geological Survey
The California Spatial Information Library - CaSIL
Toxic Substances Hydrology Program
Data resources for toxic hydrology.
A compiler for formal metadata. This program is a compiler to parse formal metadata, checking the syntax against the FGDC Content Standard for Digital Geospatial Metadata and generating output suitable for viewing with a web browser or text editor. It runs on UNIX systems and on PC's running Windows 95, 98, or NT. MP generates a textual report indicating errors in the metadata, primarily in the structure but also in the values of some of the scalar elements (i.e. those whose values are restricted by the standard). The compiler, its source code, executables for UNIX (Solaris and Linux) and Microsoft Windows 95, 98, and NT, and its own formal metadata are available through
The UCLA ArcSDE/Oracle GIS Database.
A collection of GIS data that current members of the UCLA community can directly connect to and use in their GIS applications as if the data was stored locally. All of the data previously available from the Web Site has been updated and is now available through the Database. Additional data has also been added. T this web site you can apply for a username required to access the Database
CISE (Directorate for Computer Science and Engineering) Webpage
NSF Awards – Fielded Search Engine
Some grant numbers on similar topics
Open standards and software for bibliographies and cataloging
LaTex resource for formatting bibliographies; templates can be downloaded.
1. Ashby JV. Bicarregui JC. Boyd DRS.
van Dam KK. Lambert SC. Matthews BM.
O'Neill KD. Multidisciplinary scientific data
portal. 2001; 2110, 13-31.
Notes: INSPEC (metadata and scientific data); Conference Information: High-Performance Computing and Networking. 9th International Conference, HPCN Europe. Amsterdam, Netherlands. 25-27 June 2001.
The paper discusses web-based multidisciplinary data portal based on a new metadata model of scientific data. Covers most major science areas: Astronomy, Biology, Chemistry, Environmental Science, Physics. The data resources are stored in many file systems and databases, physically distributed throughout the organization with no common way of accessing or searching them. Little consistency in the information, which is recorded for each dataset and sometimes this information may not even be available online, but only in experimenters' logbooks. As a result, no convenient way of posing queries which span more than one data resource. This situation could potentially lead to serious under-utilization of these data resources or to wasteful re-generation of data. It could also thwart the development of cross-discipline research. The paper discusses the integration of all the services in the newly developing e-Science/Grid environments. The paper also discusses XSIL (Extensible Scientific Interchange Language) from Caltech, work done by OODT (The Object Oriented Data Technology group) at the JPL. Project developed its own metadata model for representing scientific data. Extensive use od XML and related W3C standards for representing, transfering and manipulating the metadata. It also has a part dealing with user requirements. Conducted interviews with potential users of the data portal, and based on the input constructed a series of user scenarios. The scenarios have been validated with those interviewed and, based on them, use cases have been developed, which are being used to design the user interface dialogue and to determine the required functionality of the database system underlying the metadata catalog. Also discusses user scenarios, user interface, and metadata model in more detail.
Full text available in electronic format.
2. Bain Jane L [a] and Michener William K. Ecological Archives: ESA's electronic data archive. 2002; 87, 315.
Notes: BIOSIS (metadata and ecological data)
I've downloaded the abstract from the web site. The abstract had : ecological archives, data archive, as key words.
3. Balovnev O.
Extending GeoToolKit to access distributed spatial data and
operations. 2000: 259-261.
Notes: INSPEC (metadata and scientific data); Conference Information: Proceedings. 12th International Conference on Scientific and Statistical Database Management. Berlin, Germany. Deutsche Forschungsgemeinschaft. Freie Univ. Berlin. Humbolt-Univ. zu Berlin. MicroStrategy Deutschland. SAS Inst. Deutschland. Scopeland. Statistisches Landesamt Berlin. 26-28 July 2000.
I did not find a full text of this. It seems to be dealing with GeoToolKit software and its use in distributed heterogeneous spatial data sources. Does not seem to be really related to what we are doing.
4. Berkley C. Jones M.
Higgins D. Metacat: a schema-independent XML database
system. 2001: 171-179.
Notes: INSPEC (metadata and ecological data);
The ecological sciences represent a challenging community from the perspective of scientific data management. Ecological data are collected by investigators using a wide variety of protocols to address complex topics. The resulting heterogeneous data are stored in autonomous database systems that are dispersed throughout the ecological research community. Thus, data management for ecology requires that one address 3 primary characteristics of ecological data: heterogeneity, dispersion, and autonomy. The Knowledge Network for Biocomplexity project (http://knb.ecoinformatics.org/) seeks to address these issues through the use of flexible and extensible metadata standards that accommodate the tremendous variety of data representation formats and schemas found in ecology. The paper discusses the attempt to standardize metadata exchange syntax using XML to allow a higher degree of interoperability among the distributed research groups in the discipline. One of the challenges of the project was to design and implement a schema-independent, scalable data storage system for XML data that can be used at distributed ecological research sites and permit autonomous control of data by site researchers. The paper describes the Metacat XML data storage system. Apart from the part (introduction) which talks about ecological data characteristics, the rest has lots of technical details on structure, queries, indexes... Metacat was originally designed as a centralized ecological metadata server.
Full text available electronically. http://classweb.gmu.edu/kersch/inft864/Readings/SDBSystems/MetaCat.pdf
5. Biggs H C; Coetzee Y [a], and Dent M C. Development of a metadatabase to support a multi-organisational,
multi-disciplinary river ecosystem research and management initiative:
Experiences from the Kruger National Park Rivers Research Programme. 2000 Jan; 26, (1):
Notes: BIOSIS (metadata and gis)
Rather general. Does not mention any particular metadata schema they were using, although they do provide a list of fields they were using in describing their data. It also mentions metadata catalog, but I could not find the web site they suggested.
Full text of the article is available. http://www.wrc.org.za/publications/watersa/2000/January/jan00_p77.pdf
6. Bradley E. Collins N.
Kegelmeyer WP. Feature
characterization in scientific datasets.
Notes: INSPEC (metadata and scientific data); Conference Information: Proceedings of 4th International Symposium on Intelligent Data Analysis (IDA 2001). Cascais, Portugal. Minsterio da Ciencia e da Technol. Univ. Nova de Lisboa. Fundacao Calouste Gulbenkian. et al. 13-15 Sept. 2001.
Describes implementation of a data analysis tool (feature characterization tool) in large scientific databases. Discusses use of 3D visualization techniques. The goal is to automate the feature recognition and characterization process so scientists can spend their time analyzing the science behind promising or unusual data, rather than wading through the mechanic details of the data analysis. They worked with data files for large simulation projects. Interesting part on knowledge engineering : in order to automate the feature characterization process, they first needed to understand how human experts performed the analysis. The authors spent several days with various project analysts observing as they used existing tools on different kinds of data. They also studied how the experts wrote up, reported and used their results. Also part on intelligent data analysis literature. They use metadata facilities of the SAF libraries.
Full text of the article is available. http://www.cs.colorado.edu/~lizb/papers/ida01-features.pdf
7. Brilhante V. Using formal
metadata descriptions for automated ecological modeling. 1999: 90-95.
Notes: INSPEC (metadata and ecological data); providing descriptions of ecological metadata; Conference Information: Proceedings of Environmental Decision Support Systems and Artificial Intelligence. Orlando, FL, USA. 18-19 July 1999.
Their definition of ecological metadata is: property descriptions of ecological data, such as functional, temporal and spatial relations between variables. They wanted to explore how that ecological metadata can be used in modeling. They used Ecolingua, an ecological metadata ontology prototype. Ecolingua provides vocabulary needed for formal descriptions of ecological data properties. The ecological metadata ontology is used to generate prototypical partial ecological models through logic based knowledge representation. Focus is on ontologies and modeling.
Full text of the article is available. http://www.cs.pitt.edu/~wiebe/service/dc/dc99/virginia.ps
8. Brown CA. Lineage metadata standard for land parcels in colonial states. 1995; Part 1, Vol 1, 121-130.
Notes: INSPEC (metadata and gis and data set), outdated but interesting; GIS content standards for eospatial metadata
Deals with GIS and lineage metadata. Only abstract available.
9. Bukhres O.
Lynch E. Olsen L. Tari Z. Effective standards for metadata in the GCMD data access system. 2000: 155-161.
Notes: INSPEC (metadata and standard and scientific). Conference Information:
Proceedings DOA'00. International Symposium on Distributed Objects and Applications. Antwerp, Belgium. 21-23 Sept. 2000.
GCMD (http://gcmd.gsfc.nasa.gov) is a retrieval system specific to Earth Science data. It does not house the data itself, but contains metadata about the data sets and the data sets actual location. The mission of the GCMD is to assist the scientific community in the discovery of and linkage to Earth Science data. The system uses Directory Interchange Format (DIF), which is a manual system. The paper proposes a system to automate the DIF creation. The system is something like web spider. The paper mentions two more projects with the goal of creating an information retrieval system for Earth Science data (Distributed Oceanographic Data System (DODS) and the Data and Information Access Line (DIAL)). However, both systems require software to be installed on both the data colectors machine and the user machine. They also mention Federal Geographic Data Committee leading the effort to construct metadata standards. Site worth taking a look as well as bibliography.
Full text of the article is available. http://dpis.engr.iupui.edu/research/GCMD/papers/latex8.pdf
10. Cammarata S.
Lender J. Replogle
C. A metadata management system to support data
interoperability, reuse and sharing. 1994
Spring; 5, (2): 30-40.
Notes: INSPEC (metadata nd standard and scientific). Abstract taken from INSPEC.
Describes the RAND Metadata Management System (RMMS) which stores and maintains descriptional metadata.
No full text available.
11. Chen RO. Altman RB.
Automated diagnosis of
data-model conflicts using metadata. 1999
Sep-1999 Oct 31; 6, (5): 374-392.
Notes: BIOSIS (metadata and scientific data)
Describes how metadata can be used to help computational biologists diagnose discrepancies they encounter between experimental data and the predictions of scientific models. The methods they use are implemented in a knowledge-based system called GRENDEL.
Full text of the article is available. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=10495098&dopt=Abstract
12. Crasto Chiquito
[a]; Marenco Luis; Miller Perry, and Shepherd Gordon. Olfactory Receptor Database: A
metadata-driven automated population from sources of gene and protein sequences. 2002 Jan 1; 30, ( 1): 354-360.
Notes: BIOSIS (metadata)
Not really relevant. Deals with the repository of olfactory receptor and olfactory receptor-like gene and protein sequences.
Full text available. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11752336&dopt=Abstract
13. Eckman BA.
integration of biomolecular data. 2001: 23-32.
Notes: INSPEC (metadata and scientific data); Conference Information: Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2001). Bethesda, MD, USA. IEEE Comput. Soc. IEEE Comput. Soc. Virtual Intelligence Task Force. Inf. Technol. Res. Inst. Wright State Univ. AIIS Inc. 4-6 Nov. 2001.
Not really relevant. Deals with biomolecular data.
Full text available. http://citeseer.nj.nec.com/cache/papers/cs/25419/http:zSzzSzwww.cs.umd.eduzSzLibraryzSzTRszSzCS-TR-4271zSzCS-TR-4271.pdf/optimized-seamless-integration-of.pdf
14. Franko Uwe [a]; Schramm Guido; Radionova Viktoria; Koerschens Martin; Smith Pete; Coleman Kevin; Romanenkov Vladimir, and Shevtsova Ludmila. EuroSOMNET: A database for long-term experiments on soil organic
matter in Europe. 2002 Mar; 33, (3): 233-239.
Notes: BIOSIS (metadata)
Does not seem relevant. Could not find full text.
15. Futrelle J. Developing
metadata standards for scientific data reuse in NCSA's distributed grid
architecture. 2000; Part vol. 3, 1217-1219.
Notes: INSPEC (metadatata and scientific data); Conference Information: IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Honolulu, HI, USA. IEEE. IEEE Geosci. & Remote Sensing Soc. NASA. NOAA. Office of Naval Res. Nat. Resouces Canada. Canadian Space Agency. Nat. Space Dev. Agency of Japan. URSI. 24-28 July 2000.
NCSA investigates new tools and strategies for integrating distributed scientific data collections. The author mentions an interesting article: R.E. McGrath: Integrating Scientific Datasets and Digital Libraries (http://archive.ncsa.uiuc.edu/People/mcgrath/CESDIS/integrating.pdf). I think it's worth checking. The paper also talks about the development of scientific metadata standards and problems, challenges and issues that go with that. Also talks about scientific visualization. Worth checking.
Full text is available. http://archive.ncsa.uiuc.edu/People/futrelle/igarss.pdf
16. Gardner D [a] ; Abato M; Knuth K H; DeBellis R, and Erde S M. A dynamic
publication model for data-driven neurodatabases
implements interoperability for neuroscience information resources. 2000; 26, (1-2).
Notes: BIOSIS (metadata)
Not relevant. Deals with neuroscience.
17. Gardner Daniel [a]; Abato Michael; Knuth Kevin H; DeBellis Robert, and Erde Steven M. Dynamic publication model for neurophysiology databases. 2001 Aug 29; 356, (1412): 1229-1247.
Notes: BIOSIS (metadata)
Not really relevant. Deals with electrophysiology.
18. Getis A. Some thoughts
on the impact of large data sets on regional science. 1999 May; 33, (2):
Notes: BIOSIS (metadata and scientific data)
Seems to be a little bit dated (from 1999). Deals with large data sets in the field of regional science. Discusses some of the benefits of using GIS for georeferenced data. The definition of metadata they use: "Metadata is information about the nature of data sets - such as size, sampling strategy, scale, availability, age, ownership, and price - catalogued for easy use."
Full text available. http://www.springerlink.com/app/home/content.asp?wasp=988lumxqrn62m6ypfmel&referrer=contribution&format=2&page=1
19. Gupta A. Baru C. An extensible information model
for shared scientific data collections.
1999 Nov; 16, (1): 9-20.
Notes: INSPEC (metadata and scientific data)
In order to create information sharing infrastructure, it is necessary to develop a model to characterize both the nature of scientific information and the manner in which it is used. This model must be able to capture 4 interesting aspects of scientific information which set it apart from usual business information: scientific information is typically composite in nature (in addition to regular, structured data, scientific information includes documents, images, videos, 3-dimensional volumes, visualized simulation experiments and any combination of these); in the scientific world, one needs to deal with both data-centric and process-centric views of information (while it is important to have access to information, often it is also important to know how the information was derived) ; a given item of information is generally associated with several other diverse items of information, possibly distributed, which collectively forms a heterogeneous context of the original information ; scientists often require integrated access to information combining retrieval, computation and visualization of individual or multiple datasets. The paper proposes a 'hybrid' information model that integrates structured and semistructured data. It also describes two typical usage scenarios for scientific info (1st usage scenario: earth scientists who are jointly investigating biodiversity of a certain animal species in the state of CA; 2nd usage scenario: several teams of biologists sharing information through a collaborative environment). It also talks about storage & querying of metadata.
Full text is available.
20. Hale SS. Hughes MM.
Paul JF. Mcaskill
SA. Bender DR. Dodge NJ.
Richter TL. Copeland JL. Managing Scientific Data - The EMAP Approach. 1998 Jun; 51, (1-2): 429-440.
Notes: BIOSIS (metadata and scientific data)
Information management section of Environmental Monitoring and Assessment Program (EMAP) maybe interesting to check (http://www.epa.gov/emap/html/components/infomgt.html). Found only an abstract and could not determine if useful or not. I'd rather say not.
21. Hawick KA.
James HA. Patten CJ. On-line data archives. 2001: 10.
Notes: INSPEC (metadata and scientific data); Conference Information: Proceedings of Hawaii International Conference on System Sciences. HICSS-34. Maui, HI, USA. Univ. Hawaii College of Bus. Adm. 3-6 Jan. 2001.
Discusses "active" data archives in which data can be processed on-demand prior to delivery. These "active" data archives are particularly useful for scientific and decision support applications, and can greatly enhance the value of static collections of large datasets. They review technologies that are available for wide-area distributed data warehousing, and what capabilities they provide for supporting active data archives. Discusses main issues faced in building middleware infrastructure for supporting distributed, active, online data archives.
Full text available. http://citeseer.nj.nec.com/cache/papers/cs/20075/http:zSzzSzdhpc.adelaide.edu.auzSzreportszSz021zSzdhpc-021.pdf/on-line-data-archives.pdf
22. Higgins D. Berkley C.
Jones MB. Managing heterogeneous ecological
data using Morpho.
Notes: INSPEC (metadata and ecological data); Conference Information:
Proceedings of 14th International Conference on Scientific and Statistical Database Management. Edinburgh, UK. 24-26 July 2002.
Morpho is part of an effort (Knowledge Network for Biocomplexity (KNB)) to help manage ecological data by standardizing the metadata used to describe it and provide methods for sharing data and metadata. It is a desktop application (software) that allows the ecologist to create and organize metadata and data and to store that information, so that it can be searched.
PowerPoint presentation is available. http://www.ssdbm2002.ed.ac.uk/Presentations/Wed1630/Higgins.ppt
23. Michener William K [a]; Brunt James W; Helly John J; Kirchner Thomas B, and Stafford Susan G. Nngeospatial
metadata for the ecological sciences.
1997; 7, (1): 330-342.
Notes: BIOSIS (metadata and ecological data)
Did not find full text. Presents a set of generic metadata descriptors that could serve as the basis for a "metadata standard" for nongeospatial ecological data. Alternative strategies for metadata implementation that meet differing organizational or investigator-specific objectives are presented.
However I came across this site: http://www.ecoinformatics.org (publications section looks interesting).
24. Niemann BL. Integration of metadata and space-time-depth variabilities and uncertainties in Chesapeake Bay
monitoring data for improved visualization and spatial analysis. 1993; 2, part 2,
Notes: INSPEC (metadata and gis and data set), a little outdated but interesting in metadata schema in GIS systems
25. Prajczer T. Metadata
initiatives in hypertext. 1996; Part
Vol.1 , 234-237.
Notes: INSPEC (metadata and gis and data set); outdated but good source for GIS metadata standards
26. Rajasekar AK.
Moore RW. Data and metadata collections for
scientific applications. 2001; 2110, 72-80.
Notes: INSPEC (metadata and scientific data); Conference Information: Hgh-Performance Computing and Networking. 9th International Conference, HPCN Europe. Amsterdam, Netherlands. 25-27 June 2001.
Interesting part on metadata. They suggest the combination of Dublin Core metadata and discipline specific metadata.
Full text available.
27. Ruixin Yang. Kafatos M. Wang XS.
metadata using XML. 2002 Jul-2002 Aug 31;
6, (4): 52-59.
Notes: INSPEC (metadata and scientific data);
Discusses Scientific Data and Information Super Server (SDISS), an XML-based distributed metadata server.
Full text available.
28. Schram SG.
Wallace WW. Global environmental change
information in the US Department of Agriculture. 1996; Part
Notes: INSPEC (metadata and scientific data); metadata suggested by the USDA Global Environmental Change Data Assessment and Integration Project
29. Wariyapola PCH. Abrams SL.
Robinson AR. Streitlien
P. Schmidt H. Ontology and metadata creation for
the Poseidon distributed Coastal Zone Management System. 1999: 180-189.
Notes: INSPEC (metadata and scientific data); Conference Information: Proceedings IEEE Forum on Research and Technology Advances in Digital Libraries. IEEE ADL '99. Baltimore, MD, USA. IEEE Comput. Soc. Techn. Committee on Digital Libraries. Rutgers - CIMIC. GMD - Forschungszentrum Informationstechnik GmbH. Nat. Libr. Med. NASA - CESDIS. 19-21 May 1999.
Came up with a method that incorporates existing metadata standards to describe coastal zone managment.
Full text available. http://citeseer.nj.nec.com/cache/papers/cs/5850/http:zSzzSzacoustics.mit.eduzSzarctic0zSzelisseefzSzwwwzSzpaperszSzmetadata-paper.pdf/wariyapola99ontology.pdf
30. Weiner Mark [a]; Sherr Micah, and Cohen Abigail. Metadata
tables to enable dynamic data modeling and web interface design: The SEER
example . 2002 Apr; 65, (1): 51-58.
Notes: BIOSIS (metadata)
Discusses the development of web-based database interface engine whose content and structure are generated through interaction with a metadata table.
Full text available. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11904248&dopt=Abstract&itool=iconabstrd
31. Willard T. Berbert J. Finding coincident data from
satellites: using "meta-metadata" to reduce load on archive. 1999: 252-261.
Notes: INSPEC (metadata and heterogeneous system)
Full text available. http://storageconference.org/1999/1999/posters/25willar.pdf
32. Wiser Susan K [a]; Bellingham Peter J, and Burrows Larry E. Managing biodiversity
information: Development of New Zealand's National Vegetation Survey databank. 2001 Aug; 25, (2):
Notes: BIOSIS (metadata)
Full text available. http://nvs.landcareresearch.co.nz/html/Wiser_etal_2001_screen.pdf
33. Zamperoni D.
Wenderoth C. How to
organize agro-ecological metadata. 1996;
Part vol. 2, 683-688.
Notes: INSPEC (metadata and ecological data); good source for agro-ecological metadat information systems; Conference Information: Proceedings of Meeting on Global Networks for Environmental Information: Bridging the Gap Between Knowledge and Application. Lake Buena Vista, FL, USA. Environ. Rest. Inst. Michigan, ERIM. Epcot Sci. & Technol. NASA. et al. 4-7 Nov. 1996.