@@ -249,7 +249,7 @@ Even though the \TheProject consortium has only seven members, it brings togethe
\begin{compactitem}
\item\emph{Dataset authors} are represented by \site{FAU} (OAF) for symbolic, \site{FIZ} (zbMATH) for linked, \site{UL} (graph datasets), and \site{CHA} (LMFDB) for concrete data.
\item\emph{Mathematicians as users} are represented by \site{PS}, \site{CHA} and \site{UL} --- in fact, the \site{PS} PI Nicolas Thiery only initiated the OpenDreamKit project in order to improve the tools so that he could better pursue his actual research.
Primo\v{z} Poto\v{c}nik at \site{UL} and Stefan Lemurell at \site{CHA} need services built on top of datasets both as their user as well as a provider of several datasets.
Primo\v{z} Poto\v{c}nik at \site{UL} and Stefan Lemurell at \site{CHA} need services built on top of datasets both as their users as well as providers of several datasets.
\item\emph{Users from other sciences} are represented by \site{CAE} and \site{EMS} (via the PI's personal research) for the modeling of cyber-physical systems.
\item\emph{Service providers} are represented by \site{FAU} (MathHub and MathWebSearch) and \site{CAE} (Emmo) for symbolic data, \site{FIZ} (zbMATH and swMATH) for linked data, \site{CHA} (LMFDB), and \site{UL} (DisreteZOO) for concrete data.
\item\emph{Mathematical institutions} are represented by \site{EMS} (European Mathematical Society) in general and for mathematical knowledge bases by \site{FAU} and \site{FIZ} (the PIs are members of the International Mathematical Knowledge Trust IMKT).
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@@ -418,7 +418,7 @@ These efforts are detailed in \WPref{dissem}.
Mathematical data is inherently sex and gender-neutral, and this extends to all innovations and services of \TheProject.
Examples and use cases in the generated documentations will be chosen in sex/gender neutral ways.
Linked data can facilitate research and resulting policies on gender issues. Already, zbMATH data play an essential role in the Gender Gap in Science Project~\cite{gender-gap-science:on}, lead by the International Mathematical Union (IMU) and the International Union of Pure and Applied Chemistry (IUPAC) and supported by other major global scientific organizations, to evaluate different career paths in relation to gender, identify obstacles, and derive recommendations. Making this information available as FAIR data could not only spur further research and result in appropriate policies, but also facilitate the creation of much more granular information. E.g., the project has already identified a significant impact of the geographical and the subject on gender-specific career paths. Further relevant information on these issues would be intrinsically generated by interlinking the various data within the project and made available as a unique new FAIR source.
Linked data can facilitate research and resulting policies on gender issues. Already, zbMATH data play an essential role in the Gender Gap in Science Project~\cite{gender-gap-science:on}, lead by the International Mathematical Union (IMU) and the International Union of Pure and Applied Chemistry (IUPAC) and supported by other major global scientific organizations, to evaluate different career paths in relation to gender, identify obstacles, and derive recommendations. Making this information available as FAIR data could not only spur further research and result in appropriate policies, but also facilitate the creation of much more granular information. E.g., the project has already identified a significant impact of the geographical\ednote{something missing?} and the subject on gender-specific career paths. Further relevant information on these issues would be intrinsically generated by interlinking the various data within the project and made available as a unique new FAIR source.
All partners will follow inclusive practices in recruiting staff for this project, in inviting the community to our workshops and outreach events and in choosing users to evaluate prototypes.
