PROCEEDINGS OF THE DATABASES WORKSHOP HELD AT THE DEA by oneforseven

VIEWS: 0 PAGES: 25

									    PROCEEDINGS OF THE DATABASES WORKSHOP HELD
       AT THE DEA BOARDROOM NOVEMBER 21, 2001




Compiled by Ester Iinana, Ndaendelao Noongo, Louisa Nakanuku & Wessel Smit
                                 Table of Content


List of abbreviations __________________________________________ 2
1. Official opening address _____________________________________ 3
2. Introduction _______________________________________________ 5
 2.1. Infocom team members __________________________________________________ 5
 2.2. The objectives of the workshop ____________________________________________ 5
3. Resource Papers ___________________________________________ 5
 3.1. The development of databases in Namibia ___________________________________ 5
   3.1.1. Discussions and recommendations ______________________________________________ 6
 3.2 Meta-content/Meta-database framework ____________________________________ 7
   3.2.1. Discussions and recommendations ______________________________________________ 8
 3.3. Atlas data & metadata ___________________________________________________ 9
4. Information Identifications _________________________________ 10
 4.1. Environmental Assessment Unit (EA)______________________________________ 10
 4.2. Directorate of Forestry (DoF) ____________________________________________ 10
 4.3. Economics Unit ________________________________________________________ 11
 4.4. Community Based Natural Resource Management (CBNRM) _________________ 11
 4.5. National Biodiversity Programme _________________________________________ 11
 4.6. Directorate of Support Services (DSS) _____________________________________ 12
5. Survey tool _______________________________________________ 13
6. Way ahead _______________________________________________ 21
7. List of the database workshop participants ____________________ 21
8. Annex 1. Resource paper slide presentations ____________________ 0




                                                                                        1
List of abbreviations
CBNRM     Community Based on Natural Resource Management
DEA       Directorate of Environmental Affairs
DOF       Directorate of Forestry
DRFN      Desert Research Foundation of Namibia
DSS       Directorate of Support and Services
DWA       Directorate of Water Affairs
EA        Environmental Assessment
EEU       Environmental Economic Unit
EIS       Environmental Information Services
EMIN      Environmental Monitoring and Indicators Network
EONN      Environment Observations, Network of Namibia
GIS       Geographical Information Systems
GPS       Global Positioning Systems
GRN       Government of the Republic of Namibia
INFOCOM   Information Communication for Sustainable Development
MAWRD     Ministry of Agricultural Water and Rural Development
MET       Ministry of Environment and Tourism
MHETEC    Ministry of Higher Education and Employment Creation
NaLTER    Namibia Long-Term Ecological Research
NBRI      National Botanical Research Institution
NCEI      National Core Set of Environmental Indicators
NGO       Non-governmental organization
UNCCD     United Nations Convection to Combat Desertification




                                                                  2
1. Official opening address
By: Teofilus Nghitila, Acting DEA Head (Delivered by Tapio Reinikainen)

Dear Colleagues,

I am happy to see you all here. This internal workshop on databases has a strong
symbolic meaning for me. It is a starting point for the Directorate of Environmental Affairs
(DEA) to get ownership on its databases in a sustainable way. Some projects, such as
Atlas of Namibia have been able to gather a significant amount of relevant data to its
databases and the establishment of the Atlas meta-database is under way. Atlas, like all
projects, will finally be phased out. Therefore it is extremely important to have a
competent unit with permanent GRN-staff within our administration to take care of the
datasets.

Infocom-Project’s main objective is to establish an effective Environmental Information
Service (EIS). Key activities of the Project are to define the National Core set of
Environmental Indicators (NCEI), building a meta-database and establishing a Resource
Centre for DEA. All of these activities are related to environmental data – monitoring and
acquiring the data, processing it and disseminating it in order to make environmental
decision making better informed.

To achieve the set goals, a couple of preconditions must be met. There must be:

       a sustainable structure (GRN-staff, funding, technology) for facilitating the
       services of the “information hub”;
       sufficient amount of skills (environmental expertise, IT-skills, GIS, data
       processing, communication skills etc) within the (EIS) unit;
       networking with key stakeholders;
       a data-sharing policy approved by stakeholders; and
       sustainable mechanisms to update the data and the meta-data.

Some of them are already in place like the GRN-staff and networking through
Environmental Monitoring Indicators Network (EMIN), while the others will be achieved
during the course of the Implementation Plan of Infocom-Project within the next two
years.

It is elemental to make data available to students, researchers, the public and other
relevant stakeholders. Data, on the contrary to other commodities, only grows in value
the more it is used. Environmental research and monitoring activities are expensive to
establish and to maintain. Therefore, we need to have more users for the data through
making the data easily accessible as possible. This means that information on existing
monitoring programmes (the meta-information) should be easily reached. At the moment
nobody seems to have full understanding on what kind of datasets are available and what
do they contain. There is also some frustration in the air connected with previous efforts




                                                                                          3
to build up a national environmental meta-database. We need to use the momentum,
which has been built up by our efforts of constructing a meta-database.
The Internet is the most cost-effective way to organise the dissemination of the
information and it should be used to its full extent. Thus, the meta-database should be
made accessible through our website.

The next steps towards a well functioning EIS Unit require a lot of interactions,
discussions and negotiations with people who work with data. We need also to assess and
fill existing gaps in Environmental Monitoring Programmes, if necessary. The new issue-
based approach, which was introduced at the EMIN Workshop at Midgard, and the
prioritisation of the environmental issues were necessary and affective exercises and they
will help us to ensure that the focus on the development of new monitoring programs will
cover priority issues. We will also have to find out if our present environmental
monitoring programs are covering the required set for monitoring in international
conventions signed by Namibia.

I wish you a fruitful workshop.




                                                                                        4
2. Introduction
2.1. Infocom team members

   1.   Ester Iinana, Resource Assistant
   2.   Ndaendelao Emma Noongo, Database Manager
   3.   Louisa Nakanuku, Project Coordinator
   4.   Tapio Reinikainen, Technical Advisor
   5.   Wessel Smit, Assistant Librarian

2.2. The objectives of the workshop

Infocom-project’s purpose is to create an Environmental Information System (EIS) for
Namibia. According to the results of the stakeholder analysis from last February DEA’
staff members were unanimous about the database-strategy: No data warehousing, but
access to different databases should be created through internet to the feasible extent. The
purpose of this workshop is to further strategize the development of DEA’s database and
the meta-database. Following issues will be discussed in the workshop:

   -    What kind of databases are needed at DEA ?
   -    Handing Atlas-data over to EIS-unit
   -    Different strategic choices on selection of meta-database standards and software
        to be used
   -    Defining the contents of meta-database;
   -    Discuss the survey tool; and
   -    Discuss the process of establishing the meta-database


3. Resource Papers
3.1. The development of databases in Namibia
By: Louisa Nakanuku

As was discussed at the Environmental Monitoring and Indicators Network (EMIN) Workshop,
we recognized the need for the Ministry of Environment and Tourism (MET) to take a leading
role as an information-brokering agency to make reliable environmental information available to
the wide publicity to support decision-making. This could be achieved by developing practical
and sustainable mechanisms for data facilitation. However, that would require partnership and
contributions from all relevant stakeholders.

The Environmental Information Service (EIS) Unit, a Programme within the Directorate of
Environmental Affairs (DEA), and DEA being a Directorate of MET, illustrates a sustainable
structure within the Namibian Government (GRN) as it ensures the long-term sustainability of the
Programme. Moreover, the MET also has a stronger mandate to deal with public data than a
private agency for that matter. Infocom Project, a component within the EIS Unit, purpose is to
establish an effective Environmental Information Service for Namibia to support decision-making
and to promote environmentally sustainable development practices in Namibia by providing



                                                                                              5
pertinent and appropriate environmental information to the policy, planning and decision-making
processes and to all relevant stakeholders (Decision-makers, politicians, university and college
staff and students, other line Ministries, NGO, public, etc.). EIS strive to become the information
hub for environmental information in Namibia. The other projects under the EIS Unit are the
Environmental Profiles and the Environmental Atlas Project.

The purpose of this workshop is to discuss the type of database that is needed at DEA. However,
this presentation would give you an overview of the type of database the Infocom Project,
together with the DEA staff and the EMIN members have identified. The first database that
Infocom wants to establish is the DEA database. Currently, DEA’s Programmes have different
databases, which are not known to other staff members who are not part of that particular
Programme. The idea is to combine and construct linkages for all these different databases,
accessible through the website through a directory system where the Database Manager does
updating. This would also go together with the transfer of the Atlas data. A recommendation that
was made at the EMIN Workshop, was for Infocom to review MET’s monitoring programmes, as
well as the monitor indicators that will relate to the National Core set of Environmental Indicators
(NCEI). Once if the DEA database is set up, then Infocom could probably look into the other
MET directorates to try and either combine all MET’s databases or change DEA database to
MET.

Another database Infocom wants to construct is the NCEI database to inform stakeholders on key
environmental issues. Indicators needed for long-term monitoring of the environment were
defined and prioritized at the EMIN Workshop for the 10 most important environmental issues.
This database would also be available through the web in an interactive platform, meaning the
database holders are owners and active participants in updating their own information. The
Database Manager merely acts as the facilitator in this case. The last database needed is the
Library database that would list all type of resources available in the library as well as those
available at other MET directorate’s libraries. Currently, the library database is not modernized
and lacks a lot of entries.

It is important to point out that Infocom does not want to carry out data warehousing but rather
facilitating links to other databases and providing meta-information on all environmental
monitoring programmes in Namibia. Infocom still needs a lot of interaction and partnership
building up trust and good working contacts to ensure individuals or institutions that feel
threatened that their data might be misused. Capacity needs to be build to enable data collection,
if needed and development support need to be sought where needed.

    3.1.1. Discussions and recommendations

After this presentation people wanted to know what software will be used in the resource
center, after which they were informed that the old system linked to Isis software will be
used. In the past, library updating methods were not well defined and thus it has been a
problem. It was thus recommended that a procedure is defined as to how best each DEA
project can be able to provide new information to the librarian, who will then be able to
update the library. It was also seen vital that linkages are developed with other MET
directorate libraries and also with relevant NGO’s and other private sectors. This has not
been the case in the past and means for information sharing were hindered.




                                                                                                  6
With regard to the idea of developing databases at DEA, it was seen necessary that the
EIS unit facilitates and develop a network of database at DEA as a starting point before
conquering the entire MET. This has also been the idea of the unit. The current situation
at DEA is such that projects do not communicate, it was thus largely recommended that
the EIS unit initiate and facilitate the communication means within DEA projects. This is
seen as an effective way to identify and fill gaps in databases. Questions were coming in
if the unit would like to have one database for the DEA to which an answer was provided
that the main purpose is to link all databases currently existing at DEA (for both national
and local projects).

3.2 Meta-content/Meta-database framework
By: Ndaendelao Noongo

Introduction:

As pointed out in previous discussions the idea of developing a meta-database at the Directorate
of Environmental Affairs (DEA) and eventually at the Ministry of Environment and Tourism
(MET) has a background of its own. Drawing from the Environmental Monitoring and Indicators
Network (EMIN) workshop, which was held mid this year, the objectives of the meta-database in
question is:
        To give operational groups in the ministry and other organizations an easy access to the
        same information. Consequently, this will encourage communication and cooperation
        between ministerial environmental program areas as well as both NGO’s and private
        sectors.

Terminologies:

Due to subject knowledge and other undefined reasons in Namibian society (as in many
other cultures and societies), there seem to be no clear consensus in ideologies revolving
around meta-database systems. Individuals and different departments employ different
terms to define a state at hand. The Infocom project adopt the following concepts:

Meta-content/meta-database is comprised of meta-information and metadata. Meta-
information describes data in terms that users understand: the collection method, area
coverage, currency, time span, distributor, resolution, accuracy, and overall quality.
Metadata describes data in terms that systems understand: storage location, structure, and
physical representation. In short meta-information describes the content of data sets
whereas metadata describes the technical aspects of the data sets.

Meta-content/ Meta-database standards:

A couple of meta-database standards have been designed in different countries to suit their own
needs. The Infocom project has decided to put their focus on the two most widely universally
used: The FGDC and the TC211 standards. The project has not as yet decided as to which
standard will be used to define the meta-database. Instead, the project looks forwards to the study
tour to Finland in a week’s time where much will be learned from well-established databases of
Finland. The knowledge acquired will be impacted and with the contribution of the key data users
at DEA, a decision will be taken as to which meta-database standard will be appropriate at DEA
and eventually at MET level.


                                                                                                 7
Meta-database software:

Regarding the meta-database software to be used, the project is yet to discus with MET data
users. Priorities are however, not only to be given to user-friendly systems but efficiency and
adequacy too.

Infocom conceptual framework approach:

A protocol has been developed to aid in the development of the meta-database. (See the
presentation slides).

   3.2.1. Discussions and recommendations

The issue of meta-database updating was perhaps the main worry of most of the
workshop participants. Originally, the EIS unit thought it would be best if each project
can update their database section. This will also give them the ownership feeling. The
practability of this was questioned as people holding/working with data have loads on
them to do already. In other words, participants recommended that the unit should think
of minimizing efforts or rather activities of the stakeholders with regard to the updating
of the meta-database. To this however, it was seen that the person mostly working with
the data will be in a best position to provide information as to how the datasets are
developing and progressing. Consensus was found that each project provides new
development of their datasets to the EIS unit, whom can then do the actual updating.

Participants wanted to know the time-frame of meta-database. The 2nd phase of Infocom
project, which is mandated to design and implement the meta-database, is life-longed for
2 year. It is envisaged that the meta-database is developed and posted on the DEA web
site by end of the first year of the project.




                                                                                             8
3.3. Atlas data & metadata
By: Tony Roberts

Atlas Data

The data are arranged according to the figure numbers of maps and graphs displayed in
the book;
Data comprise Arcview shapefiles, grids, Excel or text spreadsheets;
All data that can be made available will be included for distribution;
Data will be provided, where possible or sensible, as both source and final data sets; and
Data will be provided on CD and over the internet.

Metadata

  •       A custom built database has been created within the project for the purposes of
          recording metadata;
  •       The database was created taking account of existing meta-database standards from
          several model examples;
  •       The database covers a fairly broad range of data types and is suitable for most
          GIS or database data sets;
  •       An additional feature has been incorporated which allows the user to call up the
          field names for attribute tables;
  •       Should the attribute tables change over time, a simple click of a button updates
          this information in the meta-database;
  •       The meta-database allows ample space for descriptions of analysis/manipulations
          made in the derivation of maps and other outputs;
  •       Ample space is also available to describe sources and reference information;
  •       An image of each map/graph produced in the atlas will appear along with the
          metadata for each shapefile or other data set described;
  •       Numerous reports are available within the database to neatly summarise metadata
          for each entry; and
  •       Metadata can be accessed by chapter, figure number or by typing in keywords.

Distribution

      •     It is intended that in the short term, atlas data and metadata will be made
            available over the internet using the same approach as the NNEP project;
      •     Data will be listed according to the contents of the atlas and a zip file
            containing both the data for a particular map or graph and its metadata will be
            available for download by double clicking on the file;
      •     As with the NNEP project, an html file containing a summary of the metadata
            for the figure (produced from the meta-database) will feature along side the
            zipfile to allow a browser to quickly verify if it is indeed the data set they
            require; and




                                                                                             9
    •    Once the INFOCOM programme has completed its current plans for data
         management, these data can be incorporated into this new structure for storage,
         management and dissemination.

4. Information Identifications
While the EIS unit is aware of the existing databases at DEA, the level and content of
those databases is not known. Therefore, each project represented was asked to briefly
tell the unit what kind of databases they have and at what level as well as what systems
they are build in. The outcomes were as follows:

4.1. Environmental Assessment Unit (EA)

i. Data available
In the EA unit they stated that all mining claim applications applying for and
environmental clearance are being logged on a database. Also, environmental clearance
applications are being recorded for Exclusive Prospecting License holders and Mining
License holders (both for onshore and offshore). These are individuals or companies who
apply for an environmental clearance.

Currently they are also working on a database with help of the library assistant, of all
environmental assessments done in our unit - this could be dated from 1998 or earlier, to
2001.

ii. Database development
Microsoft access

4.2. Directorate of Forestry (DoF)

i. Data available
- Forestry permits system
- National vegetation information, including administration information
- National Digital Terrain Model data
- Various datasets from the weather bureau

Availability of most of the above listed data depends on the 3rd party agreement.
Currently they are working on monitoring programmes and they are designing
methodology for forest fires and wood resources.

ii. Database development
The datasets at DoF are not organized in a defined manner. They are still in the process of
thinking how to best present and organize their datasets into a database.




                                                                                        10
4.3. Economics Unit

i. Data available
Data available at economic unit are mainly resource accounting datasets organized into
databases which are updated on irregular bases. Some data are coming from central
statistical office and field research done by the unit itself.

ii. Database development
- Microsoft Excel

4.4. Community Based Natural Resource Management (CBNRM)

i. Data available
At the DEA they have digital databases and DRM they have hard copies of the datasets.
They also have communal conservancies datasets organized in Arcview shapefiles. They
also develop a Uniform directory structure.

ii. Database development
- Arcview shapefiles
- Microsoft Access

4.5. National Biodiversity Programme

i. The important existing and emerging databases are:
- The Environment Observations Network of Namibia, (EONN) (formerly NaLTER ) on
   DRFN website.
- Research data for the Inselberg Project (on DEA website).
- SNARE Project restoration of Spgbt.
- Wetlands birds monitoring (excel) MET
- Wetlands database- to be set up (MAWRD)
- Anfaunal database (multi-faceted, access format- linked to DEA website).
- Tree Atlas Project database will be available in 2003 (held at NBRI).
- Biodiversity Land Use and Tenure Project (for future –c 2003) build on Atlas, Profiles
   data.
- National Geographic data on species held by NBRI, MET, DWA and MFMR.

ii. Administrative Databases
- Biotechnology applications – held by MHETEC.
- Bibliographic data (literature) held by Biodiversity Programme – in End Note Plus
   format.

 iii. Database development
- Microsoft access
- Microsoft excel and
- Endnote



                                                                                      11
4.6. Directorate of Support Services (DSS)

i. Data available
- permits data for Scientist;
- Data on registered hunting farm;
- Data on illegal killing of animals;
- Huge database on game.

ii. GIS based research
- Carnivores
- Wetlands
- Commercials conservancies and parks
- Research permit on access
- Game census data and
- Etosha and
- Elephant related incidents data (under development)

iii. Database development
- Microsoft access




                                                        12
5. Survey tool
During the workshop people were asked to go through the survey tool questionnaire
drafted by Ndaendelao Noongo. Below is the updated questionnaire.

Updated Survey Tool for the design of a database system at the ministry of Environment
and Tourism.

NB. Please refer to the notes at the back of the questionnaire for guidance.

Interviewee’s name:
Organization:
Date:

PLEASE, PROVIDE THE FOLLOWING INFORMATION, WHERE POSSIBLE.

1. Identification information (complete questions as applicable)

1.1 Data set name:

1.2 Data type e.g. ArcView shapefile:

1.3 Category (word or phrase summarizing the subject of the data set):

1.4 Monitoring program e.g. Bush encroachment:

1.5 Usage (Basic information about specific application (s) for which the data set has
    been or is being used):

1.6 Abstract (Brief narrative summary of the data set ):



1.7 Geographic extent (geographic areal domain of the data set):

1.8 Linkages to international conventions or networks e.g. NaLTER, UNCCD

1.9 Is the data set primary or secondary?


2. Data quality information (complete questions as applicable)

2.1 Positional accuracy e.g. 100m by GPS:

2.2 Measuring units:



                                                                                   13
2.3 Threshold levels:
2.4 Sampling and analysis standards:

2.5 Frequency of sampling:
2.6 Progress (status information for the data set):



        Completed

        In work

        Planned

        Historical archive

        Obsolete

2.7 Extent (Time extent covered by the data set):


2.8 Temporal extent (Time period covered by data set of an event):


2.9 Maintenance and update frequency (frequency with which changes and additions are
    made to the data set after the initial data set is complete):
Indicate by means of a cross where appropriate

Continually                    Irregularly

Daily                                  As needed

Weekly                                 Unknown

Monthly                                None planned

Annually


When last was the data set updated (year, month, date):

Update level (The level at which changes are applied):
Indicate by means of a cross where appropriate


Entire data set
Feature class


                                                                                 14
       Theme

       Depends                    Explain:

2.10 Use limitation (Any encountered limitation of the data set effecting its fitness for
    use):

i)        Staffing situation


ii)       Sampling equipment


iii)      Analyzing equipment


iv)       Funding


v)        Other, please specify




3. Spatial data representation (complete questions as applicable)

3.1 Spatial representation type (Vector/ Raster):


3.2 Image Spatial representation information (Information about the image used to
    represent geographic information):


3.3 Image exploitation support data (Positional information about the image):


3.4 Sensor Information (An instrument used to detect and/or record electromagnetic
    energy):

3.5 Sensor Band Information (A set of adjacent wavelengths in the electro-magnetic
    spectrum with a common characteristic, such as the visible band):


4. Spatial reference information (complete questions as applicable)




                                                                                      15
4.1 Datum name (Identification given to the reference system used for defining the
    coordinates of points):

4.2 Projection name (Systematic representation of all or part of the surface of the Earth
    on a plane or developable surface):

4.3 Reference parameters:


4.4 Actual coordinates of monitoring/sampling sites:




5   Entity/feature and attribute information (complete questions as applicable)

5.1 Main Feature and Attribute description (Textual description of features and
attributes):

MAIN FIELD1                 MAIN FIELD DESCRIPTION (as clear as possible)




6   Distribution information (complete questions as applicable)


1
 Field, Parameter, Attribute, Measures and Variable can be used simultaneously in this
context.


                                                                                         16
6.1 Data set distributor (Party from whom the data set may be obtained):

6.2 Contact Information (Contact information about the distributor ):

   Name Organization /person:
   Postal address:

   Telephone number (include area code):
   Facsimile number (include area code):
   E-mail address:
   Website:

6.3 Standard Order Process (Common ways in which the data set may be obtained or
    received, and related instructions and fee information):


6.3.1. Digital data


6.3.2 Non-digital data


6.4 Digital Form (Description of options for obtaining the data set on computer-
    compatible format):


6.5 Technical prerequisites for using the data:


6.6 On-line Option (Can the data set required be directly downloaded electronically):

   Yes/No
   If yes, please provide the web site.


6.7 Available Time Period (Time period when the data set will be available from the
    distributor ):


6.8 Distributor liability (Statement of the liability assumed by the distributor):




                                                                                        17
6.9 Data access constraints:

Third party restrictions

Restriction data category e.g. military data

Others

Explain --------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------



7   Citation information (complete questions as applicable)

7.1 Originator (Name of the organization or individual that developed the data set ):


7.2 Publisher (Name of the individual or organization that first published the data set):


7.3 Presentation Form (Mode in which the data is represented) e.g. hardcopy map,
    profile, image, vector map, raster map, table:


7.4 Edition (Version of the titled data set ):


7.5 Series Name (Name of the series publication of which the data set is a part):


7.6 Language used in the data set:




                                                                                                        18
Notes accompanying the survey tool questionnaire

1. Identification information

Identification information describes the basic components of the data set in question.

2. Data quality information

As users become more sophisticated in their analyses, they increasingly question the
quality of the data they are using. This leads to demands for more detailed data quality
information. The goal of data quality information is to provide a general assessment that
will help users determine how fit are the data for the intended purpose.

Attribute accuracy is an assessment of the accuracy of the identification of entities
and assignment of attribute values in the data set.

Logical consistency is a free-form explanation of the fidelity of the relationships in the
data set and the tests used.

Completeness provides information about omissions, selection criteria, generalization,
definitions used, and other rules used to derive the data set.

Positional accuracy describes horizontal and vertical accuracy in terms of meters, and
any tests used are cited.

Lineage provides information describing the processes use in data processing, what
source was used, when the process occurred, and who can be contacted about the
processing. Process steps can be useful means of describing different digitizing
procedures that can affect the fidelity of the data.

3. Spatial data representation

Spatial data organization information describes the reference mechanism used to describe
the spatial components of the data. A spatial reference system can be indirect, meaning it
describes a set of feature types or an addressing scheme (e.g., postal codes or street
addresses); or direct, meaning it uses a system of objects or coordinates to represent
space.

4. Spatial reference information

Spatial reference information provides details of the horizontal and vertical coordinate
systems. The horizontal coordinate system can be defined in terms of the resolution of
coordinates and the coordinate system used (i.e., geographics, planar, or projected). If the
coordinates are a projection, a schema for each projection should be described as needed
its central meridian, origin, easting, northing, etc. It further includes options for
describing the geodetic model, stating Landsat number and path, and including satellite



                                                                                         19
ephemerides. The vertical coordinate system is defined via a reference frame or system
from which vertical distances (altitudes or depths) are measured. It includes separate
descriptors for altitude and depth for the following: datum, resolution, units of measure,
and encoding method (e.g., x, y, z; attribute values).

5. Entity/feature and attribute information

Entity and attribute information describes the entities, attributes, attribute values, and
related characteristics encoded in the data set. It includes entity types (described as label,
definition, and definition source) and attribute definitions for those types (described as a
label; definition; definition source; domain values by enumerated list, codeset, or range;
units of measure; measurement resolution; attribute accuracy; measurement frequency;
start and end timestamps). Optionally, entities and attributes can be described at a higher
level that summarizes the information content of the data set and cites a reference that
provides a detailed description.

6. Distribution information

Distribution information describes how to obtain a data set. It includes a distributor (the
contact information or the party from whom the data set may be obtained), a resource
description (which is the distributor's identifier for the data set), the legal liability that is
assumed by the distributor for the contents of the data set, how to order by standard
procedures (including digital/nondigital descriptors, fees, ordering instructions,
turnaround time; and transfer information, including online options and network
address/dialup instructions), and custom ordering instructions. Optionally, it includes
technical prerequisites for using the data set in the form(s) provided by the distributor and
the time period when the data set is available.

7. Citation information

A Citation is a set of reference information. It includes originator, publication date, a title
and related information.

8. Contact information

Contact Information describes the identity of, and the means to communicate with, a
person or organization. It expresses the person or organization's name, position
(optional), an address and telephone or fax, email address, and hours of service and
contact instructions.




                                                                                              20
        6. Way ahead
        A visit to DEA staff, and eventually staff from other Directorates will be carried in
        February 2002 to test the survey tool. The Database Manager, Ndaendelao Noongo, will
        be conducting interviews for the meta-database inventory within DEA first to test the
        survey tool and will then schedule visits with the other Directorates. The initiative is to
        adapt DEAs database systems and offer compatible systems to other Directorates of
        MET.

        Data entry from the survey tool will be entered by a student from either the Polytechnic
        or UNAM. A DEA, eventually MET, database network (small, approximately 8-10
        people) will be establish to information management strategy for DEA/MET. A self-
        updated system need to be established.

        The team, with the help of Consultants and EMIN members, would apply the same
        procedure to construct the National Core set of Environmental Indicators. The indicators
        have been pre- selected at the Environmental Monitoring and Indicators Network (EMIN)
        Workshop. It needs to be defined further and chosen based on the information which will
        be given on the survey tool. Small Task Forces, chosen on specific environmental
        backgrounds, will be established to help select the final proposed set. A second EMIN
        workshop, currently scheduled for May 2002, will be held then with the final proposed
        NCEI. To construct the NCEI meta-database, appropriate software, compatibility with
        other Networks should be verified. The Network will also help develop and implement
        procedures to maintain the meta-database, update meta-database regularly and evaluate
        usefulness and functionality of meta-database on an annual basis.


        7. List of the database workshop participants
SURNAME          NAME             ORGANISATION           TEL       FAX       E-MAIL ADDRESS
Haindongo        Priscilla        DOF                    221478    222830    priscilla@forestry.met.gov.na
Verlinden        Alex             DOF                    221478    222830
Raili            Hasheela         DSS                    263131    259101    rlaudika@yahoo.com
Kolberg          Holger           DSS                    263131    259101    metreper@iafrica.com.na
Tagg             Jo               DEA                    249015    240339    jotagg@iafrica.com.na
Mendelsohn       John             DEA                    249015    240339    mendelso@iafrica.com.na
Roberts          Tony             DEA                    249015    240339    tr@dea.met.gov.na
Barnard          Phoebe           DEA                    249015    240339    pb@dea.met.gov.na
Yamamoto         Akiko            DEA                    249015    240339    akiko@dea.met.gov.na
Noongo           Ndaendelao       DEA                    249015    240339    ennoongo@hotmail.com
Smit             Wessel           DEA                    249015    240339    smitwessel@hotmail.com
Nakanuku         Louisa           DEA                    249015    240339    ln@dea.met.gov.na
Reinikainen      Tapio            DEA                    249015    240339    tapio@dea.met.gov.na
Hashiyana        Ester            DEA                    249015    240339    contact@dea.met.gov.na



                                                                                                21
8. Annex 1. Resource paper slide presentations
1.1. The development of databases in Namibia By: Louisa Nakanuku
1.2. Meta-content/Meta-database framework By: Ndaendelao Noongo




                                                                  1
2

								
To top