ROSA Data Governance Program

ROSA Data Governance Program

ROSA’s Data Governance Programs will provide guidance for data on fisheries and offshore wind, in support of future regional or cumulative impact assessments and to complement and to support interoperability with other data efforts in the region.

Why a Data Governance Program?

For data to inform decision-making, it must be findable, accessible, interoperable, and reusable, also known as FAIR. This standard can be challenging to achieve when data are collected by multiple partners, for different purposes, across state and federal borders, and by both public and private entities. Data governance supports data sharing with consistent policies, processes, standards, and workflows that can be used by everyone in the data ecosystem. After reviewing the state of fisheries data production, storage, and accessibility in 2022, and participating in data governance discussions with RWSC, ROSA decided to launch a data governance program focused on offshore wind-related fisheries data.

Interested in Joining the Program?

ROSA is currently building its Data Governance Committee. On our projects, we bring together the fishing community, OSW developers, researchers, state and federal government, and others. Any organization that generates scientific data related to the impact of OSW on fish and fisheries is invited to collaborate with us. Please fill out the following form and we will contact you for our first meeting: https://forms.office.com/r/BzM3L3igQr 

Regional Coordination

At project kickoff, ROSA requests that tesearchers share the project Data Management and Sharing Plan (DMSP) or the following data information: a list of the specific data being collected, where those data are being stored and secured, frequency with which data/metadata are to be uploaded to digital repositories (recommended no less than annually), any access constraints, and who can be contacted about data use. For more information, email ROSA Research Director, Mike Pol mike@rosascience.org