NOAA Technical Information Series NESDIS
DSMR-00001 Version 1.0

doi: 10.25923/xe7t-ay83

Data Stewardship Maturity Report for Meteorological and Oceanographic Data Collected from the National Data Buoy Center Coastal-Marine Automated Network (C-MAN) and Moored (Weather) Buoys

<table>
  <tr>
    <th colspan="5">Table 1 Legend</th>
  </tr>
  <tr>
    <th>Level 1</th>
    <th>Level 2</th>
    <th>Level 3</th>
    <th>Level 4</th>
    <th>Level 5</th>
  </tr>
  <tr>
    <td>Ad Hoc</td>
    <td>Minimal</td>
    <td>Intermediate</td>
    <td>Advanced</td>
    <td>Optimal</td>
  </tr>
  <tr>
    <td>Little or no management</td>
    <td>Limited Management</td>
    <td>Defined Management, partially implemented</td>
    <td>Well-defined Management, fully implemented</td>
    <td>Full Management, audited, measured, controlled</td>
  </tr>
</table>

<table>
  <tr>
    <th colspan="3">Table 1. Scores for the Nine DSMM Key Components at a Glance</th>
  </tr>
  <tr>
    <th>Preservability - 5</th>
    <th>Accessibility - 5</th>
    <th>Usability - 3.5</th>
  </tr>
  <tr>
    <td>Production Sustainability - 5</td>
    <td>Data Quality Assurance - 4</td>
    <td>Data Quality Control/Monitoring - 3.5</td>
  </tr>
  <tr>
    <td>Data Quality Assessment - 3</td>
    <td>Transparency/Traceability - 2.25</td>
    <td>Data Integrity - 3</td>
  </tr>
</table>
Cover Image: Data Stewardship Rating Diagram for Meteorological and Oceanographic Data Collected from the National Data Buoy Center Coastal-Marine Automated Network (C-MAN) and Moored (Weather) Buoys

Shades of green are used to represent level 1 through level 5 ratings; denoting Ad Hoc, Minimal, Intermediate, Advanced, and Optimal stages for each of the nine key components, respectively. The dark green level indicates all the practices are completely satisfied. The lighter green levels indicate only some of the practices are satisfied. The lightest green level indicates none of the practices are satisfied.

The stewardship maturity of NCEI data product, Meteorological and Oceanographic Data Collected from the National Data Buoy Center Coastal-Marine Automated Network (C-MAN) and Moored (Weather) Buoys, is assessed based on a reference stewardship maturity framework. The current maturity ratings of Meteorological and Oceanographic Data Collected from the National Data Buoy Center Coastal-Marine Automated Network (C-MAN) and Moored (Weather) Buoys are at Level 1 or higher for all nine key components with zero Level 1, one Level 2, four Level 3, one Level 4, and three Level 5 key components.
NOAA Technical Memorandum Series
National Environmental Satellite, Data, and Information Service

The National Environmental Satellite, Data, and Information Service (NESDIS) manages the Nation’s civil Earth-observing satellite systems, as well as global national data bases for meteorology, oceanography, geophysics, and solar-terrestrial sciences. From these sources, it develops and disseminates environmental data and information products critical to the protection of life and property, national defense, and the national economy, energy development and distribution, global food supplies, and the development of natural resources.

Publication in the NOAA Technical Memorandum series does not preclude later publication in scientific journals in expanded or modified form. The NESDIS series of NOAA Technical Reports is a continuation of the former NESS and EDIS series of NOAA Technical Reports and the NESC and EDS series of Environmental Science Services Administration (ESSA) Technical Reports.

Copies of earlier reports may be available by contacting NESDIS Chief of Staff, NOAA/NESDIS, 1335 East-West Highway, SSMC1, Silver Spring, MD 20910, (301) 713-3578.
ASSESSMENT REVISION HISTORY

<table>
  <tr>
    <th>Revision</th>
    <th>Description</th>
    <th>Date</th>
  </tr>
  <tr>
    <td>V01r00</td>
    <td>Initial Release</td>
    <td>10/27/2021</td>
  </tr>
</table>
NOAA Technical Information Series NESDIS DSMR-00001
Version 1.0
doi: 10.25923/xe7t-ay83

Data Stewardship Maturity Report for Meteorological and Oceanographic Data Collected from the National Data Buoy Center Coastal-Marine Automated Network (C-MAN) and Moored (Weather) Buoys

Raisa Ionin, Katy Luquire
NOAA's National Centers of Environmental Information (NCEI)
151 Patton Avenue, Asheville, NC 28801, (828) 271-4800

Recommended Citation

Raisa Ionin, Katy Luquire. (2021), Data stewardship maturity report for Meteorological and Oceanographic Data Collected from the National Data Buoy Center Coastal-Marine Automated Network (C-MAN) and Moored (Weather) Buoys

NOAA/NESDIS Technical Report 00009, 23pp., doi: 10.25923/xe7t-ay83
Table of Contents

List of Tables ..................................................................................................................... 7
Preface ............................................................................................................................... 8
1. Introduction .................................................................................................................. 9
2. Results ........................................................................................................................... 10
3. Acknowledgment ........................................................................................................ 17
4. References .................................................................................................................. 18
Appendix I  The Scientific Data Stewardship Maturity Matrix (DSMM) ......................... 20
List of Tables

Table 1. Scores for the Nine DSMM Key Components at a Glance	1
Table 2. Dataset and Data Stewardship Maturity Assessment Metadata	11
Table 3. Stewardship Maturity Levels and Detailed Justifications for Each of Nine DSMM Key Components for the Dataset.	12
Preface

In response to the President's Open Government Initiative and related policies, NOAA has committed to providing improved public access to all of its environmental information, to enable research and commercial innovation through ease of data discovery and use [Casey, 2016].

OneStop supports NOAA's efforts by leveraging existing access technologies and infusing specific innovations to provide improved discover, access, and visualization services for NOAA's data. Also, OneStop is viewed by a NESDIS as a pathfinder effort with an initial focus on selected high-priority datasets from NESDIS and other program data meeting OneStop standards, but eventually scalable across NOAA's data. Lastly, OneStop is implementing the USGEO Common Framework for Earth Observation Data and leveraging/supporting the NOAA Big Data Project (BDP) and Big Earth Data Initiative (BEDI) [Casey, 2016].

As with any process of improvement planning, agencies need to find out where they are in terms of their compliance to the federal regulations and what they need to do if any areas of non-compliance are identified. To this end, a unified framework would be beneficial for assessing the current stage of stewardship practices applied to individual datasets and for providing a road map that will guide future investments towards enhanced stewardship of environmental datasets. The value and quality of a dataset depends in part on the stewardship practices applied after its development and production. Therefore, a unified framework providing a holistic view of the quality of stewardship practices applied to individual datasets is beneficial to data stewards and users [Casey, 2016].

The data stewardship maturity matrix (DSMM), jointly developed by domain (data management, technology, and science) subject matter experts from NOAA’s National Centers for Environmental Information (NCEI) and Cooperative Institute for Climate and Satellites – North Carolina (CICS-NC), provides such a consistent framework [Peng et al., 2016]. The DSMM, leveraging institutional knowledge and community practices and standards, defines a graduated maturity scale for each of nine key components of scientific data stewardship to enable a consistent assessment of the measureable stewardship practices applied to a given data set or product.

The NOAA data stewardship maturity technical series captures stewardship maturity assessment results for individual datasets, provides consistent representation and citable documents of those assessments, ensures transparency, and allows better data quality information integration and content-based search and discovery of NOAA data.
NOAA Technical Report NESDIS DSMR-00009

Data Stewardship Maturity Report for Meteorological and Oceanographic Data Collected from the National Data Buoy Center Coastal-Marine Automated Network (C-MAN) and Moored (Weather) Buoys

1. Introduction

1.1 Purpose

The purpose of this document is to describe the results of stewardship maturity assessment for NOAA Climate Data Record for Mean Layer Temperature (Upper Troposphere & Lower Stratosphere from UCAR, Version 2, utilizing the Scientific Data Stewardship Maturity Matrix or DSMM [Peng, et al, 2016]. DSMM defines levels of stewardship maturity stages for Preservability, Accessibility, Usability, Production Sustainability, Data Quality Assurance, Data Quality Control/Monitoring, Data Quality Assessment, Transparency/Traceability, and Data Integrity key components. Each of these components is ranked from ‘Ad hoc’ to ‘Optimal’ (see Appendix I). This report is based on evaluation performed by NOAA OneStop metadata specialists working with Subject Matter Experts and utilizing the DSMM template [Peng, 2016].

1.2 Scope

Assessing stewardship maturity - the current state of how datasets are documented, preserved, stewarded, and made accessible publicly, is a critical step towards meeting U.S. federal regulations, organizational requirements, and user needs [Peng et al., 2016]. The goal of this document is to provide consistent and transparent stewardship maturity information to data users and decision-makers.

1.3 Dataset Abstract

The National Data Buoy Center (NDBC) established the Coastal-Marine Automated Network (C-MAN) for the National Weather Service in the early 1980's. NDBC has installed approximately 50 C-MAN stations on lighthouses, at capes and beaches, on near shore islands, and on offshore platforms. NDBC has also deployed over 100 moored (a.k.a., weather) buoys in coastal and offshore waters from the western Atlantic to the Pacific Ocean around Hawaii, and from the Bering Sea to the South Pacific. C-MAN and moored buoy data typically include barometric pressure, wind direction, speed and gust, and air temperature; however, some C-MAN stations are equipped to also measure seawater temperature, water level, waves, and relative humidity. Moored buoys measure wave energy spectra from which NDBC derives significant wave height, dominant wave period, and average wave period. In addition, many moored buoys measure the direction of wave propagation. In collaboration, NDBC and the National Centers for Environmental Information (NCEI) -- formerly the National
Oceanographic Data Center (NODC) -- are archiving these data from C-MAN and moored buoys. This collection is part of the collaboration and it contains both NODC F291 and netCDF (version 4) files with data collected from February 1970 through the present day.

1.4 Document Maintenance

This document is generated and maintained by NOAA’s National Centers for Environmental Information. More on policy is available at https://www.ncei.noaa.gov/.

2. Results

The data stewardship maturity assessment information is summarized in Table 1. Each component is displayed along with its corresponding score in a color-coded table.
<table>
  <tr>
    <th colspan="2">Table 2. Dataset and Data Stewardship Maturity Assessment Metadata</th>
  </tr>
  <tr>
    <th>Dataset Title</th>
    <td>Meteorological and Oceanographic Data Collected from the National Data Buoy Center Coastal-Marine Automated Network (C-MAN) and Moored (Weather) Buoys</td>
  </tr>
  <tr>
    <th>Dataset Information URL</th>
    <td>https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.nodc%3ANDBC-CMANWx/html#</td>
  </tr>
  <tr>
    <th>Data Provider POC (name; email; Affiliation)</th>
    <td>National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce301-713-3277NCEI. Info@noaa.gov</td>
  </tr>
  <tr>
    <th>Dataset POC (name; email; affiliation)</th>
    <td>National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce301-713-3277NCEI. Info@noaa.gov</td>
  </tr>
  <tr>
    <th>SMM Version (Document ID and Version Number)</th>
    <td>NCDC-CICS-SMM_0001_Rev.1 12/09/2014</td>
  </tr>
  <tr>
    <th>SMM POC (Name; E-mail; Affiliation)</th>
    <td>Ge Peng, ge.peng@uah.edu, University of Alabama-Huntsville</td>
  </tr>
  <tr>
    <th>SMM Template Version (Document ID and Version Numbers)</th>
    <td>NCDC-CICS-SMM_0001_Rev.1 v4.0 06/23/2015</td>
  </tr>
  <tr>
    <th>SMM Template POC</th>
    <td>Ge Peng, ge.peng@uah.edu, University of Alabama-Huntsville</td>
  </tr>
  <tr>
    <th>SMM Assessment Version (v<nn>r<mm>, e.g., v01r00)</th>
    <td>V01r03</td>
  </tr>
  <tr>
    <th>SMM Assessment Date (MM/DD/YYYY)</th>
    <td>04/10/2019</td>
  </tr>
  <tr>
    <th>SMM Assessment POC (Name; E-mail; Affiliation)</th>
    <td>Raisa Ionin; raisa.ionin@noaa.gov; NOAA’s National Centers of Environmental Information (NCEI); Ge Peng; ge.peng@uah.edu; University of Alabama-Huntsville</td>
  </tr>
  <tr>
    <th>Stewardship Maturity Ratings (each key component) (kc1/kc2/kc3/kc4/kc5/kc6/kc7/kc8/kc9)</th>
    <td>5 / 5 / 3.5 / 5 / 4 / 3.5 / 3 / 2.25 / 3</td>
  </tr>
  <tr>
    <th>SMM Original Assessment Date (MM/DD/YYYY)</th>
    <td>11/08/2016</td>
  </tr>
  <tr>
    <th>SMM Original Assessment POC (Name; E-mail; Affiliation)</th>
    <td>Raisa Ionin; raisa.ionin@noaa.gov; NOAA’s National Centers of Environmental Information (NCEI)</td>
  </tr>
  <tr>
    <th>SMM Last Modified Date (MM/DD/YYYY)</th>
    <td>09/01/2021</td>
  </tr>
  <tr>
    <th>SMM Last Modification POC (Name; E-mail; Affiliation)</th>
    <td>Katy Luquire, catherine.luquire@noaa.gov, CASE Consultants International</td>
  </tr>
  <tr>
    <th>SMM Modified Date (MM/DD/YYYY)</th>
    <td>04/10/2019</td>
  </tr>
  <tr>
    <th>SMM Modification POC (Name; E-mail; Affiliation)</th>
    <td>Raisa Ionin; raisa.ionin@noaa.gov; NOAA’s National Centers of Environmental Information (NCEI)</td>
  </tr>
</table>
<table>
  <tr>
    <th>DSMM Key Component</th>
    <th>Stewardship Maturity Rating, Justification, and Comments</th>
  </tr>
  <tr>
    <td rowspan="2"><b>Preservability</b></td>
    <td>Level 5<br>
      ▪ Archived by NCEI, which is NOAA designated repository. NOAA is compliant to NARA standards<br>
      ▪ Metadata following ISO 19115-2 standards.<br>
      ▪ Compliant to OIAS RM<br>
      ▪ Plans to update metadata to ISO 19115-1 at a later date<br>
      ▪ Using NCEI Silver Spring Archive Management System, AMS.<br><br>
      Comments:
    </td>
  </tr>
  <tr>
    <td>Level 5<br>
      ▪ Collection level searchable online<br>
      ▪ Granule level is searchable online<br>
      ▪ Geoportal: https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.node%3ANDBC-CMANWx/html<br>
      ▪ Additional search options available from collection level site<br>
      ▪ Direct file download available from THREDDS: https://www.ncei.noaa.gov/thredds-ocean/catalog/ndbc/cmanwx/catalog.html<br>
      ▪ HTTP: https://www.ncei.noaa.gov/data/oceans/ndbc/cmanwx/<br>
      ▪ FTP: ftp://ftp-oceans.ncei.noaa.gov/pub/data.nodc/ndbc/cmanwx/<br>
      ▪ NOAA Marine Environmental Buoy Database: https://www.ncei.noaa.gov/access/marine-environmental-buoy-database/<br>
      ▪ Dissemination reports are available<br>
      ▪ FTP: https://www.nodc.noaa.gov/webstats/cman/ftp/2017/02/cman-ftp.html<br>
      ▪ THREDDS:<br>
      ▪ https://www.node.noaa.gov/webstats/cman/thredds/2017/02/cman-thredds.html<br>
      ▪ WWW: https://www.nodc.noaa.gov/webstats/cman/www/2017/02/cman-www.html<br>
      ▪ Future technology changes are planned.<br><br>
      Comments:
    </td>
  </tr>
</table>
Table 3. Stewardship Maturity Levels and Detailed Justifications for Each of Nine DSMM Key Components for the Dataset.

<table>
  <tr>
    <th>DSMM Key Component</th>
    <th>Stewardship Maturity Rating, Justification, and Comments</th>
  </tr>
  <tr>
    <td rowspan="12">Usability</td>
    <td>Level 3.5<br>
      ▪ The format is interoperable: NetCDF, nc for granules.<br>
      ▪ Algorithm is described in the Handbook of Automated Data Quality Control Checks and Procedures: [NDBC, NOAA, 2009] is available online https://www.nodc.noaa.gov/archive/arc0056/0107300/1.1/data/0-data/NDBCHandbookofAutomatedDataQualityControl2009.pdf<br>
      ▪ Algorithm is also mentioned in the following publications:<br>
      ▪ [Gilhousen , 1989] is available online https://www.nodc.noaa.gov/archive/arc0056/0070493/1.1/data/0-data/2ndWaves.pdf<br>
      ▪ [ Gilhousen ] available online http://www.ndbc.noaa.gov realtime.pdf<br>
      ▪ [Steele, 1985] is available online https://doi.org/10.1109/JOE.1985.1145116<br>
      ▪ Multiple data formats: File format description for meteorology, oceanography, and wave spectra data from buoys (National Oceanographic Data Center F291 format) https://www.nodc.noaa.gov/archive/arc0056/0070493/2.2/data/0-data/F291_format.html<br>
      ▪ No error estimates online<br>
      ▪ No climatology error estimates<br>
      ▪ No community metrics of data<br>
      ▪ No external ranking<br>
      ▪ No enhanced data visualization.<br><br>
      Comments:
    </td>
  </tr>
  <tr>
    <td rowspan="4">Production Sustainability</td>
    <td>Level 5<br>
      ▪ The data is currently supported.<br>
      ▪ Long-term National commitment by NOAA Weather Service.<br>
      ▪ Product improvement process is in place.<br>
      ▪ Changes for technology planned<br><br>
      Comments:
    </td>
  </tr>
  <tr>
    <td rowspan="4">Data Quality Assurance</td>
    <td>Level 4<br>
      ▪ Data Quality Assurance (DQA) is defined and documented in Handbook of Automated Data Quality Control Checks and Procedures [NDBC, NOAA, 2009] is available online https://www.nodc.noaa.gov/archive/arc0056/0107300/1.1/data/0-data/NDBCHandbookofAutomatedDataQualityControl2009.pdf<br>
      ▪ File level quality flags exist which can be considered limited data quality assurance metadata<br>
      ▪ No External review<br><br>
      Comments:
    </td>
  </tr>
</table>
Table 3. Stewardship Maturity Levels and Detailed Justifications for Each of Nine DSMM Key Components for the Dataset.

<table>
  <tr>
    <th>DSMM Key Component</th>
    <th>Stewardship Maturity Rating, Justification, and Comments</th>
  </tr>
  <tr>
    <td rowspan="2">Data Quality Control/ Monitoring</td>
    <td>Level 3.5<br>
      ▪ Community Quality Control Metrics are defined, fully implemented and automatic. Documented in Handbook of Automated Data Quality Control Checks and Procedures [NDBC, NOAA, 2009] is available online https://www.nodc.noaa.gov/archive/arc0056/0107300/1.1/data/0-data/NDBCHandbookofAutomatedDataQualityControl2009.pdf<br>
      ▪ Anomaly detection for high frequency portion of wave displacement spectra only.<br>
      ▪ Climatology is used for other oceanographic data anomalies. Anomaly detection for range and spike checks.<br><br>
      Comments:
    </td>
  </tr>
</table>
Table 3. Stewardship Maturity Levels and Detailed Justifications for Each of Nine DSMM Key Components for the Dataset.

<table>
  <tr>
    <th>DSMM Key Component</th>
    <th>Stewardship Maturity Rating, Justification, and Comments</th>
  </tr>
  <tr>
    <td rowspan="12">Level 3<br>Data Quality Assessment</td>
    <td>
      ▪ Algorithm is described in the Handbook of Automated Data Quality Control Checks and Procedures: [NDBC, NOAA, 2009] is available online https://www.nodc.noaa.gov/archive/arc0056/0107300/1.1/data/0-data/NDBCHandbookofAutomatedDataQualityControl2009.pdf<br>
      ▪ Algorithm is also described in the following publications:<br>
      [Gilhousen , 1989] is available online https://www.nodc.noaa.gov/archive/arc0056/0070493/1.1/data/0-data/2ndWaves.pdf<br>
      [Gilhousen, 1998] available online http://www.ndbc.noaa.gov realtime.pdf<br>
      [Steele, 1985] is available online https://doi.org/10.1109/JOE.1985.1145116<br>
      ▪ Research product is assessed. Multiple publications are available:<br>
      [Anctil, 1993] is available online https://doi.org/10.1175/1520-0426(1993)010<0097:dwfecot>2.0.co;2<br>
      [Chelton, 1985] is available online https://doi.org/10.1029/jc090ic03p04707]<br>
      [Gilhousen , 1989] is available online https://www.nodc.noaa.gov/archive/arc0056/0070493/1.1/data/0-data/2ndWaves.pdf<br>
      [NDBC, NOAA, 2009] is available online https://www.nodc.noaa.gov/archive/arc0056/0107300/1.1/data/0-data/NDBCHandbookofAutomatedDataQualityControl2009.pdf<br>
      [Gilhousen, D, 1986] is available online ftp://ftp.nodc.noaa.gov/nodc/archive/arc0056/0070493/1.1/data/0-data/Gilhousen_1986_MDS.pdf<br>
      [Gilhousen, D., 1987] is available online http://doi.org/10.1175/1520-0426(1987)004<0094:AFEONM>2.0.CO;2<br>
      [Steele, 1985] is available online https://doi.org/10.1109/JOE.1985.1145116<br>
      [Wilkerson , 1990] is available online https://doi.org/10.1029/jc095ic03p03373<br>
      [Anctil, 1993] is available online https://doi.org/10.1175/1520-0426(1993)010<0097:dwfecot>2.0.co;2<br>
      ▪ Operational Product assessed in the following publications:<br>
      [Gilhousen , 1989] is available online https://www.nodc.noaa.gov/archive/arc0056/0070493/1.1/data/0-data/2ndWaves.pdf<br>
      [Anctil, 1993] is available online https://doi.org/10.1175/1520-0426(1993)010<0097:dwfecot>2.0.co;2<br>
      [Gilhousen, D, 1986] is available online ftp://ftp.nodc.noaa.gov/nodc/archive/arc0056/0070493/1.1/data/0-data/Gilhousen_1986_MDS.pdf<br>
      [Gilhousen, D., 1987] is available online http://doi.org/10.1175/1520-0426(1987)004<0094:AFEONM>2.0.CO;2<br>
      [NDBC, NOAA, 2009] is available online https://www.nodc.noaa.gov/archive/arc0056/0107300/1.1/data/0-data/NDBCHandbookofAutomatedDataQualityControl2009.pdf<br>
      [Steele, 1985] is available online https://doi.org/10.1109/JOE.1985.1145116
    </td>
  </tr>
</table>

Comments:
Additional publications: {Chelton, 1985} Chelton, D. B., and P. J. Mccabe (1985), A review of satellite altimeter measurement of sea surface wind
<table>
  <tr>
    <th>DSMM Key Component</th>
    <th>Stewardship Maturity Rating, Justification, and Comments</th>
  </tr>
  <tr>
    <td rowspan="12">Transparency / Traceability</td>
    <td>Level 2.25<br>
      ▪ Algorithm is available in the Handbook of Automated Data Quality Control Checks and Procedures: [NDBC, NOAA, 2009] is available online https://www.nodc.noaa.gov/archive/arc0056/0107300/1.1/data/0-data/NDBCHandbookofAutomatedDataQualityControl2009.pdf<br>
      ▪ Algorithm and product information is also available in the following articles:<br>
      ▪ [Gilhousen , 1989] is available online https://www.nodc.noaa.gov/archive/arc0056/0070493/1.1/data/0-data/2ndWaves.pdf<br>
      ▪ [Gilhousen , 1998] available online http://www.ndbc.noaa.gov realtime.pdf<br>
      ▪ [Steele, 1985] is available online https://doi.org/10.1109/JOE.1985.1145116<br>
      ▪ No Dataset configuration management<br>
      ▪ No DOI<br>
      ▪ No UID<br>
      Comments:<br>
      Additional publications:<br>
      { [Chelton, 1985] Chelton, D. B., and P. J. Mccabe (1985), A review of satellite altimeter measurement of sea surface wind speed: With a proposed new algorithm, _Journal of Geophysical Research_, 90(C3), 4707, doi:10.1029/jc090i0c3p04707; is available online http://onlinelibrary.wiley.com/doi/10.1029/JC090iC03p04707/abstract }
    </td>
  </tr>
  <tr>
    <td>Level 3<br>
      ▪ Data archive integrity verifiable - Checksum technology is available, each C-MAN/Wx package is accompanied by a manifest in XML format containing hash digests generated using various algorithms, including MD5, SHA-1, SHA-384, etc. That includes checksums (.md5) for every file package. http://www.nodc.noaa.gov/archive/arc0098/0156604/0156604.1.1.xml<br>
      ▪ Data authenticity is verifiable (since data can be downloaded via HTTPS and HTTPS uses certificates to prove site authenticity)<br>
      ▪ NCEI-MD does not provide digital signatures for data dissemination<br>
      Comments:
    </td>
  </tr>
</table>
3. Acknowledgment

This work is supported by the NOAA OneStop Project.

We thank the dataset POCs for their valuable input, as well as the collaborative efforts of the OneStop teams, especially the Metadata team. We would also like to show appreciation to Ge Peng for her contributions.

The draft of this data stewardship maturity report is systematically generated by a tool created by Kieran Hodnett and populated with the stewardship maturity assessment done by the author(s) of this report. The tool was developed based on a Word template created collaboratively by Robert Partee II, Raisa Ionin, Paul Lemieux III, Ge Peng, Don Collins, and Sonny Zinn with helpful input from the NOAA Central Library and the NCEI Communication Team.
4. References

Casey, K. (2016), The NOAA OneStop data discover and access framework project, Version:June 3, 2016. https://cdn.ioos.noaa.gov/media/2017/12/OneStop-IOOS-DMAC-03-June-2016.pdf

Peng, G. (2015) The scientific data stewardship maturity assessment model template, Version: NCDC-CICS-SMM-0001-Rev.1 v4.0 6/23/2015. doi:10.6084/m9.figshare.1211954.

Peng, G., J.L. Privette, E.J. Kearns, N.A. Ritchey, and S. Ansari (2015), A unified framework for measuring stewardship practices applied to digital environmental datasets, Data Science Journal, 13, 231-253, doi: 10.2481/dsj.14-049.

Peng, G., J. Lawrimore, V. Toner, C. Lief , R. Baldwin, N. Ritchey, D. Brinegar, and S. A. Delgreco (2016) assessing stewardship naturity of the global historical climatology network-monthly (GHCN-M) dataset: use case study and lessons learned, D-Lib Magazine, 22, doi:10.1045/november2016-peng.

National Data Buoy Center (NDBC), National Oceanic and Atmospheric Administration (NOAA) (2009), Handbook of Automated Data Quality Control Checks and Procedures, _NDBC Technical Document 09-02_, retrieved online https://www.nodc.noaa.gov/archive/arc0056/0107300/1.1/data/0-data/NDBCHandbookofAutomatedDataQualityControl2009.pdf (Accessed 2 March 2017)

Gilhousen, D. (1989), 2nd International Workshop on Wave Hindcasting and Forecasting, , in _Field Evaluation of NDBC Directional Wave Data_, Environment Canada Atmospheric Environment Service, Downsview, Ontario, retrieved online https://www.nodc.noaa.gov/archive/arc0056/0070493/1.1/data/0-data/2ndWave s.pdf (Accessed 2 March 2017)

Gilhousen, D., Improved real-time quality control of NDBC measurements, retrieved online http://www.ndbc.noaa.gov realtime.pdf (Accessed 2 March 2017)

Steele, K., J. Lau, and Y.-H. Hsu (1985), Theory and application of calibration techniques for an NDBC directional wave measurements buoy, _IEEE Journal of Oceanic Engineering_, 10(4), 382–396, doi:10.1109/joe.1985.1145116

National Data Buoy Center (NDBC), National Oceanic and Atmospheric Administration (NOAA) (2009), Handbook of Automated Data Quality Control Checks and Procedures, _NDBC Technical Document 09-02_, retrieved online https://www.nodc.noaa.gov/archive/arc0056/0107300/1.1/data/0-data/NDBCHandbookofAutomatedDataQualityControl2009.pdf (Accessed 2 March 2017)
Steele, K., J. Lau, and Y.-H. Hsu (1985), Theory and application of calibration techniques for an NDBC directional wave measurements buoy, _IEEE Journal of Oceanic Engineering_, 10(4), 382–396, doi:10.1109/joe.1985.1145116
Appendix I: The Scientific Data Stewardship Maturity Matrix (DSMM)

Table A1: This matrix (Version: NCDC-CICS-SMM-0001-Rev.1. 12/09/2014) describes the criterion used to evaluate data stewardship maturity for each of the nine DSMM key components [Peng et al., 2015].

<table>
  <tr>
    <th>DSMM Component</th>
    <th>Level 1<br><i>Ad hoc</i><br>Little or no management</th>
    <th>Level 2<br><i>Minimal</i><br>Limited management</th>
    <th>Level 3<br><i>Intermediate</i><br>Defined management, partially implemented</th>
    <th>Level 4<br><i>Advanced</i><br>Well-defined management, fully implemented</th>
    <th>Level 5<br><i>Optimal</i><br>Full management, audited, measured, controlled</th>
  </tr>
  <tr>
    <td><i>Preservability</i><br>(<i>The state of being preservable</i>)</td>
    <td>Any storage location<br>Data only</td>
    <td>Non-designated repository<br>Redundancy<br>Limited archiving metadata</td>
    <td>Designated archive<br>Redundancy<br>Community-standard archiving metadata<br>Conforming to limited archiving standards</td>
    <td>Level 3 +<br>Conforming to community archiving standards</td>
    <td>Level 4 +<br>Archiving process performance controlled, measured, and audited<br>Future archiving standard changes planned</td>
  </tr>
  <tr>
    <td><i>Accessibility</i><br>(<i>The state of being searchable and accessible publicly</i>)</td>
    <td>Not publically available person-to-person</td>
    <td>Publically available direct file download (e.g., via anonymous FTP server)<br>Collection or dataset level searchable online</td>
    <td>Level 2 +<br>Non-standard data service<br>Limited data server performance<br>Granule/file level searchable<br>Limited search metrics</td>
    <td>Level 3 +<br>Community-standard data service<br>Enhanced data server performance<br>Conforming to community search metrics<br>Dissemination report metrics defined and implemented internally</td>
    <td>Level 4 +<br>Dissemination reports available online<br>Future technology and standard changes planned</td>
  </tr>
</table>
<table>
  <tr>
    <th><i>Usability<br>(The state of being easy to use)</i></th>
    <td>Extensive product-specific knowledge required<br>No documentation online</td>
    <td>Non-standard data format<br>Limited documentation (e.g., user’s guide online)</td>
    <td>Community standard-based interoperable format & metadata<br>Documentation (e.g. source code, product algorithm document, processing or/and data flow diagram) online</td>
    <td>Level 3 +<br>Basic capability (e.g., subsetting, aggregating) & data characterization overall/global,<br>e.g., climatology, error estimates) available online</td>
    <td>Level 4 +<br>Enhanced online capability (e.g., visualization, multiple data formats)<br>Community metrics of data characterization (regional/cell) online<br>External ranking</td>
  </tr>
  <tr>
    <th><i>Production Sustainability<br>(The state of data production being sustainable and extendable)</i></th>
    <td>Ad Hoc or Not applicable<br>To obligation or deliverable requirement</td>
    <td>Short-term Individual PI’s commitment (grant obligations)</td>
    <td>Medium-term Institutional commitment (contractual deliverables with specs and schedule defined)</td>
    <td>Long-term Institutional commitment<br>Product improvement process in place</td>
    <td>Level 4 +<br>National or international commitment<br>Changes for technology planned</td>
  </tr>
  <tr>
    <th><i>Data Quality Assurance<br>(The state of data quality being assured)</i></th>
    <td>Data quality assurance (DQA) procedure unknown or none</td>
    <td>Ad Hoc and random<br>QA procedure not defined and documented</td>
    <td>DQA procedure defined and documented and partially implemented</td>
    <td>DQA procedure well documented, fully implemented and available online with master reference data<br>Limited data quality assurance metadata</td>
    <td>Level 4 +<br>DQA procedure monitored and reported<br>Conforming to community quality metadata & standards<br>External review</td>
  </tr>
</table>
<table>
  <tr>
    <th>Data Quality Control/ Monitoring<br><i>The state of data quality being controlled and monitored</i></th>
    <th>None or Sampling unknown or spotty<br>Analysis unknown or random in time</th>
    <th>Sampling and analysis are regular in time and space<br>Limited product-specific metrics defined & implemented</th>
    <th>Level 2 +<br>Sampling and analysis are frequent and systematic but not automatic<br>Community metrics defined and partially implemented<br>Procedure documented and available online</th>
    <th>Level 3 +<br>Anomaly detection procedure well-documented and fully implemented using community metrics, automatic, tracked and reported<br>Limited quality monitoring metadata</th>
    <th>Level 4 +<br>Cross-validation of temporal & spatial characteristics<br>Physical consistency check<br>Conforming to community quality metadata & standards</th>
  </tr>
  <tr>
    <th>Data Quality Assessment<br><i>(The state of data quality being assessed)</i></th>
    <th>Algorithm/ method/model<br>Theoretical basis assessed (methods and results online)</th>
    <th>Level 1 +<br>Research product assessed (methods and results online)</th>
    <th>Level 2 +<br>Operational product assessed (methods and results online)</th>
    <th>Level 3 +<br>Quality metadata assessed<br>Limited quality assessment metadata</th>
    <th>Level 4 +<br>Assessment performed on a recurring basis<br>Conforming to community quality metadata & standards<br>External ranking</th>
  </tr>
  <tr>
    <th>Transparency/ Traceability<br><i>(The state of being transparent, trackable, and traceable)</i></th>
    <th>Limited product information available<br>Person-to-person</th>
    <th>Product information available in literature</th>
    <th>Algorithm Theoretical Basis Document (ATBD) & source code online<br>Dataset configuration managed (CM)<br>Unique Object Identifier (OID) assigned (dataset, documentation, source code)<br>Data citation tracked (e.g., utilizing Digital Object Identifier</th>
    <th>Level 3 +<br>Operational Algorithm Description (OAD) online, OID assigned, and under CM</th>
    <th>Level 4 +<br>System information online<br>Complete data provenance online</th>
  </tr>
</table>
<table>
  <tr>
    <th>Data Integrity<br>(The state of data integrity being verifiable)</th>
    <th>Unknown or no data ingest integrity check</th>
    <th>Data ingest integrity verifiable (e.g., checksum technology)</th>
    <th>(DOI) system Level 2 + Data archive integrity verifiable</th>
    <th>Level 3 + Data access integrity verifiable<br>Conforming to community data integrity technology standard</th>
    <th>Level 4 +<br>Data authenticity verifiable (e.g., data signature technology)<br>Performance of data integrity check monitored and reported</th>
  </tr>
</table>