Data Sharing Toolkit

BOX II - Data management guidance

Data Management Plans
Developing a good data management plan is a crucial first step in robust data stewardship. A good data management plan outlines how data will be managed during the life cycle of any project. It will cover everything from data collection processes, quality assurance/ quality control, creation of metadata, data storage and submission to a suitable repository.

The IODE Guidelines for Data Management Plans – are an extremely useful resource to check if a data management plan (developed or to be developed) is adequate in relation to sharing “information on the management and sharing of data, information and resulting knowledge” of a project or programme. See below, also, under “tools and templates”, some templates for developing DMPs.
https://unesdoc.unesco.org/ark:/48223/pf0000256544 

Guidelines and best practices:
Below are some guidelines and best practices where you can find more information on how to publish your data and or information as well as how to develop relevant plans and adopt FAIR data principles.

  • Guidelines for data publishingincluding in situ physical/chemical data, glider data, biological observation data, model/ gridded data, geospatial data—and Metadata https://ioos.noaa.gov/data/data-standards/data-publishing/
  • Manuals, guidelines, standards and best practices collected in the IOC Ocean Data and Information System (ODIS) ‘Catalogue of Sources’ https://catalogue.odis.org/search/type=14
  • AquaDocs (https://aquadocs.org/pages/About) has recently been proposed/promoted as recommended repository for storing/sharing publications coming as outputs from Decade Actions 
  • Ocean Best Practices is a repository of best practices related to ocean science. It contains generic best practices on data management and data collection,  as well on thematic areas (e.g. sensor types, thematic focus, environment, etc…) https://www.oceanbestpractices.org/ 


Standards
Using, and/or developing and agreeing on common standards is the first step in making data interoperable. Below are some high-level examples,

Depending on the type of data that you are collecting, there may be other community specific or thematic standards that you are required or advised to use, or you may need to develop your own. Some examples of the application of standards within different communities are outlined below.

Contribution to metadata directories (EDMO, EDMED, EDMERP, CSR and EDIOS): www.seadatanet.org/Metadata/How-to-contribute/Metadata-EDMO-EDMED-EDMERP-CSR-and-EDIOS

Contribution to Common Data Index (CDI) directory: www.seadatanet.org/Metadata/How-to-contribute/Data-CDI

  • OSPAR data reporting guidance in each of the following work areas: Biological diversity & Ecosystems, hazardous substance & Eutrophication, Human Activities, Offshore Industry, Radioactive Substances www.ospar.org/work-areas


Data reporting
Data reporting is the process of collecting data, storing it in formats and/or visualizing data in a way that makes it meaningful, digestible and usable in context. This is an important aspects for all Decade Actions, to make sure that their data has meaning and can be used to address the Decade challenges.

  • IOOS guidelines on data sharing https://ioos.noaa.gov/data/data-standards/open-data-sharing/
  • National Centers for Environmental Information (NCEI) receives data from many different sources, not only from NOAA or NOAA funded projects, but also from individuals or other research institutions. NCEI provides guidelines for information submission quality control. ncei.noaa.gov/archive
  • OSPAR data reporting guidance in each of the following work areas: Biological diversity & Ecosystems, hazardous substance & Eutrophication, Human Activities, Offshore Industry, Radioactive Substances ospar.org/work-areas


Tools and templates:
Below are some helpful tools and templates to support good data management, for example to in order to develop a data management plan or write good metadata.

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