Project Data Manager Contact Information:
Name/Organization/Email:
(repeat
as necessary)
2.1 What data collection and/or generation methods will be used to develop the project data?
2.2 Table of anticipated datasets. (Add additional rows as necessary.)
Anticipated Dataset Type |
Related Project Milestone Chart Task Numbers |
File Formats* |
Data Volume |
Final Data Access and Long-term Archival Location(s) |
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*See
Appendix
A for a
listing of frequently used archivable formats at NCEI
2.2.1 If any elements of the table above need further descriptions, provide it here:
3.1 When and how frequently will the data be made available?
3.2 Will any personally identifiable information, restricted, or other sensitive data be collected?
No
Yes
If
YES, please briefly describe the sensitive nature of the data and
project protection measures throughout the development of the
dataset:
3.3 Will there be any restrictions or stipulations on public access to the project data? (select all that apply)
No limitation, data will be publicly available and open.
Yes, all data is restricted, no access available.
Other:
If
Yes or Other, please briefly describe the restrictions or
stipulations:
4.1 Which metadata standard(s) will be used to document the data? (Check all that apply.)
International Organization for Standardization (ISO)
Federal Geographic Data Committee (FGDC)
Other: __________________________
5.1 What quality control and quality assurance procedures will be used within the project?
6.1 How will the project data be protected from unauthorized access and accidental or malicious modification or deletion?
6.2 What is the back-up, disaster recovery, or contingency planning used to protect the project data? (select all that apply and add system name/description) Data are backed up on:
Local servers: ____________
Cloud: ____________
External hard drives
Other: _______________
7.1 Briefly describe how data management is accounted for in your project budget. This can include project team member time for metadata/data preparations, data hardware such as hard drives or server space, and any fees associated with data archival.
7.2 Do all sub-awardees have as a condition of their subaward the acceptance of this data sharing plan? This includes open data licenses for the data and metadata generated and budgeted time for data management and archival preparations.
Yes, this is a condition of sub-award contracts
No, explanation ______________________
7.3 Describe any prior experience in making data publicly accessible:
7.4
Will any technical publications or journal articles be published as
part of this project?
If YES, describe which anticipated
datasets will also have related publications.
7.5
Provide any additional information necessary for the management of
this project’s data:
Data Management and Sharing Plan Guidance
NOAA as well as NOAA grantees are required to comply with a number of data management requirements as outlined in NOAA Administrative Order 212-15B as well as the NOAA Data Sharing Directive for NOAA Grants. The purpose of this data management and sharing plan is to satisfy the requirement for a data management plan, as well as have grantees provide their plan for how they will meet other requirements such as: public access to data, metadata creation, archiving of data, and citation for publications. Here we provide guidance and examples for populating the form above, which is encouraged for use for all applicants to NOAA RESTORE Science Program funding opportunities. Once the form is completed, delete this guidance and appendix, convert your Data Management Plan (likely in Word format) to a PDF, and upload it with your other documents when submitting your full proposal to grants.gov. Please contact [email protected] with any questions.
2.1
What collection
and/or generation methods will be used to develop the project data?
(Brief
description of main data collection instruments including hardware
and software if applicable)
Example: Georeferenced still images and videos of bird nesting
sites will be collected by drones outfitted GPS units and Nikon
cameras. OR Ship data; MOCNESS (10 m2 Multiple Opening/Closing Net
and Environmental Sensing System [“MOC10”]) data;
Biological data (fish counts, lengths, weights, etc.); CTD data
2.2 Table of anticipated datasets. (Add additional rows as necessary.)
Anticipated Dataset Type |
Related Project Milestone(s) Numbers |
File Formats
|
Data Volume |
Final data access and long-term archival location(s) |
Genetic Diversity & eDNA (n= 2 datasets) |
3.10, 3.11, 3.12 |
.csv, .xls |
10 GB |
NCBI and NCEI |
Acoustics (n= 3 datasets) |
1.3, 1.6, 1.9 |
.csv and raw data formats |
1 TB |
NCEI |
Fish Taxonomy/ Community Ecology (n= 9 datasets) |
3.3, 3.4, 3.5, 3.6 |
.xls,.mdb, misc. |
30 GB |
NCEI |
Contaminant Studies (n= 3 datasets) |
4.3 |
.xlsx |
1 GB |
NCEI |
2.2.1 If any elements of the table above need further descriptions, please provide additional information below:
Example: Data collection will take place over three cruises over the course of 2025-2029
3.1 When and how frequently will the data be made available?
(Briefly
describe when the data will be initially available and if there is
any frequency for future data updates or releases. Ensure each
anticipated datatype is accounted for in this answer)
Example:
Cruise based environmental data will be archived within 6 months post
each cruise. Video files with annotated benthic habitats will be
archived one year following each collection cruise. Summary GIS
products will be archived within one year of project completion.
3.2 Will any personally identifiable information, restricted, or other sensitive data be collected?
(Describe
any sensitive data that is being collected or generated that may be
restricted by law or national security)
Example:
Yes, surveys will collect social science data from respondents.
Survey data will be summarized and anonymized before used in project
analysis.
3.3 Will there be any restrictions or stipulations on public access to the project data? (select all that apply)
(Briefly
explain why and under what circumstances or authority the data may be
restricted for public use. Enter NO if no restrictions are present.
Also describe any data access conditions and/or restrictions,
non-disclosure statements requirements)
Example:
Yes, data are being collected over military operational areas OR
Bathymetry may contain unidentified shipwrecks that are culturally
significant.
(List
known metadata standards used for the project, learn more about the
importance of metadata at the NOAA NCEI Metadata webpage)
Example:
Data will be archived at NCEI. Upon archival, XML metadata will be
generated in ISO 19115-2 format which will meet metadata
requirements. Additionally, a data dictionary and human readable
ReadMe document will also be produced to document datasets.
(Brief
summary of which quality assurance/ quality control procedures or
references will be employed)
Example:
Data entered into the database will be validated against field
collection sheets for accuracy.
6.1 How will the project data be protected from unauthorized access and accidental or malicious modification or deletion?
(Briefly
describe how the data will be protected from accidental or malicious
activities)
Example:
Data are stored in password protected encryption services and
requires dual verification.
6.2 What is the back-up, disaster recovery or contingency planning used to protect the project data? (Select all that apply and add system name/description) Data are backed up on:
Example: Data will be stored on the University server which is backed up on an offsite server.
7.1
Briefly describe how
data management is accounted for in your project budget. This can
include project team member time for metadata/data preparations, data
hardware such as hard drives or server space, and any fees associated
with data archival.
Example:
Select project team members have a set percentage of time dedicated
to data management and archival preparations as indicated in the
budget. Additionally, we have contacted NCEI and no archival fees
will be required to archive this project’s datasets.
7.2 All sub-awardees have as a condition of their contract the acceptance of this data sharing plan. This includes open data licenses for the data and metadata generated and budgeted time for data management and archival preparations.
(Describe any if limitations to sub-award contracts accepting this data management plan exist)
7.3 Describe any prior experience in making data accessible:
Example: The PIs for this project are committed to making the data publicly available as demonstrated in past awarded proposals. Please see citations to previous archived datasets listed in project team member’s CVs.
7.4
Will any technical
publications or journal articles be published as part of this
project? If YES, please explain.
(list any technical publications or journal articles that will be
published)
Example: Yes, journal articles are intended to be
produced to summarize the ecosystem diversity data collected as part
of this project.
Public reporting burden for this collection of information is estimated to average 30 minutes per response, including time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed and completing and reviewing the collection of information.
Send comments regarding this burden estimate or any other aspects of the collection of information, including suggestions for reducing this burden to the National Ocean Service, CRP/COP Office, 1305 East-West Highway, Silver Spring, MD 20910. Grant files are subject to the Freedom of Information Act (FOIA). Confidentiality will not be maintained-the information will be made available to the public. However, unpublished research results shall not be published without prior permission from the recipient.
Listing of NCEI frequently used file formats. Note: This is not a listing of all file formats NCEI accepts. Please contact [email protected] if your anticipated file format is not on this listing. For additional formats and more information on archiving data at NCEI, please see https://www.ncei.noaa.gov/archive ‘Frequently Asked Questions’ section.
Archivable file formats have the following characteristics:
Not software specific (i.e., can only be used by a single, specific program or application),
Based on well-documented national or international standards based format specifications
Suitable for the type of data that are encoded in the format.
Generic Data Types |
Preferred Format(s) |
Accepted Format(s) |
Comment(s) |
Tabular Data |
Comma Separated Values (.csv), Tab Separated Values (.tsv), netCDF (.nc), OpenOffice Calc (.ods) |
csv. (.xls or .xlsx), JavaScript Object Notation (.json) |
ASCII or UTF/UTF8/UNICODE encoding; See additional guidance for using NetCDF for many kinds of observation data (i.e, profiles, time series, trajectories, etc.). |
Geospatial Information Systems (GIS) |
GeoTIFF, OpenGIS GML, HDF5, NetCDF |
ESRI shapefiles (.shp, .dbf, .shx, .cpg, .prj, .sbx), ESRI GridFloat Output |
None |
Text |
Portable Document Format/Archival (.pdf), OpenOffice Document (.odt), ASCII (.txt) |
Portable Document Format (.pdf), MicroSoft Word (.doc, .docx) |
Text documents must meet NOAA accessibility guidelines for compliance with Section 508 |
Metadata |
ISO 19139 (.xml) Geospatial Metadata |
FGDC Content Standard for Digital Geospatial Metadata (CSDGM), NASA Directory Interchange Format (DIF) |
The preferred representation of metadata in these standard formats is eXtensible Markup Language (xml) |
Moving Images |
To be determined |
MPEG-2, MPEG-4, MPEG-2000 |
None |
Still Images |
TIFF |
SVS, JPEG, BIL, HDF5, PNG |
None |
Others |
GRIdded Binary or General Regularly-distributed Information in Binary (GRIB), Binary Universal Form for the Representation of meteorological data (BUFR) |
Polygon File Format (.ply) for 3-D data representations |
None |
Version 1.0 June 2024
File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
Author | Laurie Golden |
File Modified | 0000-00-00 |
File Created | 2024-12-12 |