Data Management Plan (Deprecated)
GUID: gov.noaa.nmfs.inport:48359 | Published / External
This is an outdated version of the NOAA Data Management Plan template. InPort now supports a dedicated Data Management Plan Catalog Item type, which is up-to-date with the latest NOAA DMP template. The ability to generate Data Management Plans from Data Sets will be discontinued in a future release. Please see the Data Management Plan Help Guide to learn more.
Data Management Plan
DMP Template v2.0.1 (2015-01-01)
Please provide the following information, and submit to the NOAA DM Plan Repository.Reference to Master DM Plan (if applicable)
As stated in Section IV, Requirement 1.3, DM Plans may be hierarchical. If this DM Plan inherits provisions from a higher-level DM Plan already submitted to the Repository, then this more-specific Plan only needs to provide information that differs from what was provided in the Master DM Plan.
1. General Description of Data to be Managed
This dataset represents land cover for the San Lorenzo River basin in Santa Cruz County, California derived from high resolution imagery. The land cover features in the imagery were classified to the Coastal Change Analysis Program (C-CAP) classification scheme. Land cover data was derived through a combination of image processing methods including image segmentation and rule-based techniques available from the eCognition software package, and more traditional "cluster-busting" methods. in 2008, additional processing was applied to the land cover to make the data set more consistent with what is being distributed as a part of the High Resolution C-CAP effort.
Notes: Only a maximum of 4000 characters will be included.
Notes: Data collection is considered ongoing if a time frame of type "Continuous" exists.
Notes: All time frames from all extent groups are included.
Notes: All geographic areas from all extent groups are included.
(e.g., digital numeric data, imagery, photographs, video, audio, database, tabular data, etc.)
(e.g., satellite, airplane, unmanned aerial system, radar, weather station, moored buoy, research vessel, autonomous underwater vehicle, animal tagging, manual surveys, enforcement activities, numerical model, etc.)
2. Point of Contact for this Data Management Plan (author or maintainer)
Notes: The name of the Person of the most recent Support Role of type "Metadata Contact" is used. The support role must be in effect.
Notes: The name of the Organization of the most recent Support Role of type "Metadata Contact" is used. This field is required if applicable.
3. Responsible Party for Data Management
Program Managers, or their designee, shall be responsible for assuring the proper management of the data produced by their Program. Please indicate the responsible party below.
Notes: The name of the Person of the most recent Support Role of type "Data Steward" is used. The support role must be in effect.
4. Resources
Programs must identify resources within their own budget for managing the data they produce.
5. Data Lineage and Quality
NOAA has issued Information Quality Guidelines for ensuring and maximizing the quality, objectivity, utility, and integrity of information which it disseminates.
(describe or provide URL of description):
Process Steps:
- 2002-06-01 00:00:00 - Initial field sampling to identify features in the field that corresponded to the modified C-CAP classification scheme. GPS units were taken into the field, along with laptops equipped with FieldNotes software, to collect and record reference data points across the study area.
- 2002-06-01 00:00:00 - Special transformations of IKONOS imagery were derived to increase the data set dimensionality. This was achieved by calculating the Normalized Difference Vegetation Index (NDVI), Principal Component Images (PCA), and Tasseled-Cap Brightness, Greenness & Wetness images from the raw multi-spectral IKONOS imagery. These images were compiled using the layer stack operation in ERDAS Imagine 8.5 to produce one image with multiple band layers.
- 2002-06-01 00:00:00 - Classifications techniques were performed on all four IKONOS layer-stacked scenes using eCognition and ERDAS Imagine 8.5 software. Image segmentations derived from the imagery were used to perform supervised classifications with eCognition. Preliminary classifications were then exported from eCognition as ERDAS Imagine files (.img) to be further processed in Imagine 8.5.Each class from the exported eCognition classifications were used as individual "masks"in Imagine to help refine the overall classification. This refinement was achieved by iterative isodata clustering, or "cluster-busting," on each masked class image. All individual class images were then recoded and merged to represent the modified C-CAP classification scheme.
- 2002-06-01 00:00:00 - The final step in the creation of the land cover data involved the use of hand editing. This approach involved the use of ancillary data sources in conjunction with the IKONOS data set. This methodology was employed to increase the accuracy of rare classes not easily derived from the IKONOS imagery alone.
- 2008-06-09 00:00:00 - Land cover classes were recoded to match current land cover scheme. A new set of image objects were derived from the IKONOS MS imagery using a scale factor of 50. The existing recoded land cover was summarized using the image objects as zones. The image objects were labeled using the zonal majority land cover.
- 2008-06-12 00:00:00 - The impervious surface class from the original land cover were refined using a clump and eliminate to reduce speckle in the map. Roads data were also burned in where incomplete or obscured roads existed. The new impervious surface class was inserted into the map derived from process step 5.
- 2008-07-11 00:00:00 - The final map was then manually edited by NOAA OCM analysts.
(describe or provide URL of description):
6. Data Documentation
The EDMC Data Documentation Procedural Directive requires that NOAA data be well documented, specifies the use of ISO 19115 and related standards for documentation of new data, and provides links to resources and tools for metadata creation and validation.
Missing/invalid information:
- 1.7. Data collection method(s)
- 3.1. Responsible Party for Data Management
- 4.1. Have resources for management of these data been identified?
- 4.2. Approximate percentage of the budget for these data devoted to data management
- 5.2. Quality control procedures employed
- 7.1. Do these data comply with the Data Access directive?
- 7.1.1. If data are not available or has limitations, has a Waiver been filed?
- 7.1.2. If there are limitations to data access, describe how data are protected
- 7.3. Data access methods or services offered
- 7.4. Approximate delay between data collection and dissemination
- 8.1. Actual or planned long-term data archive location
- 8.3. Approximate delay between data collection and submission to an archive facility
- 8.4. How will the data be protected from accidental or malicious modification or deletion prior to receipt by the archive?
(describe or provide URL of description):
7. Data Access
NAO 212-15 states that access to environmental data may only be restricted when distribution is explicitly limited by law, regulation, policy (such as those applicable to personally identifiable information or protected critical infrastructure information or proprietary trade information) or by security requirements. The EDMC Data Access Procedural Directive contains specific guidance, recommends the use of open-standard, interoperable, non-proprietary web services, provides information about resources and tools to enable data access, and includes a Waiver to be submitted to justify any approach other than full, unrestricted public access.
None.
Notes: The name of the Organization of the most recent Support Role of type "Distributor" is used. The support role must be in effect. This information is not required if an approved access waiver exists for this data.
Notes: This field is required if a Distributor has not been specified.
Notes: All URLs listed in the Distribution Info section will be included. This field is required if applicable.
Notes: This field is required if applicable.
8. Data Preservation and Protection
The NOAA Procedure for Scientific Records Appraisal and Archive Approval describes how to identify, appraise and decide what scientific records are to be preserved in a NOAA archive.
(Specify NCEI-MD, NCEI-CO, NCEI-NC, NCEI-MS, World Data Center (WDC) facility, Other, To Be Determined, Unable to Archive, or No Archiving Intended)
Notes: This field is required if archive location is World Data Center or Other.
Notes: This field is required if archive location is To Be Determined, Unable to Archive, or No Archiving Intended.
Notes: Physical Location Organization, City and State are required, or a Location Description is required.
Discuss data back-up, disaster recovery/contingency planning, and off-site data storage relevant to the data collection
9. Additional Line Office or Staff Office Questions
Line and Staff Offices may extend this template by inserting additional questions in this section.