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Commit 0cbe2100 authored by Michael Kohlhase's avatar Michael Kohlhase
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general cleanup (ednots and kpis)

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...@@ -41,4 +41,4 @@ In particular, all produced documents (including this proposal itself), software ...@@ -41,4 +41,4 @@ In particular, all produced documents (including this proposal itself), software
%%% TeX-master: "proposal" %%% TeX-master: "proposal"
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% LocalWords: ednote reuser Modelica zbMATH ldots formalized standardization % LocalWords: reuser Modelica zbMATH ldots formalized standardization
...@@ -384,7 +384,7 @@ open-access digital libraries to commercial publishers. ...@@ -384,7 +384,7 @@ open-access digital libraries to commercial publishers.
\noindent\WPtref{cases} hosts individual datasets on the \TheProject platform. \noindent\WPtref{cases} hosts individual datasets on the \TheProject platform.
The datasets themselves are already listed in Figure~\ref{fig:datasets}. The datasets themselves are already listed in Figure~\ref{fig:datasets}.
Here we only list existing dataset hosting technologies maintained by partner sites that will be reused in or linked with the \TheProject platform.\ednote{FR: This is the best story I could tell; it's still a bit weak; I've added MathHub and removed Modelica distribution standard.} Here we only list existing dataset hosting technologies maintained by partner sites that will be reused in or linked with the \TheProject platform.
\begin{compactenum} \begin{compactenum}
\setcounter{enumi}{10} \setcounter{enumi}{10}
\item The RADAR project has developed a sustainable generic infrastructure for research data management and archiving focusing on the long tail of science. \item The RADAR project has developed a sustainable generic infrastructure for research data management and archiving focusing on the long tail of science.
...@@ -403,6 +403,6 @@ In 2017, the project was successfully transformed into a production service. ...@@ -403,6 +403,6 @@ In 2017, the project was successfully transformed into a production service.
%%% TeX-master: "proposal" %%% TeX-master: "proposal"
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% LocalWords: eucommentary textsuperscript textregistered textsuperscript specialised rerunnable ednote Kohonen's reuser compactitem graybox whitebox realized oldpart organizational hline emph fig:trl compactenum centering WPtref Kohonen optimized Modelica zbMATH swMATH inparaenum Emmo specialized Harrison:hlti96 formalization standardized organizing datasest BerGel:ilp03 decentralized organized lmfdb:on cdot10 Conder Wanless visualizations zbMAH oeis PotocnikCensuses:on sec:trls wrapfigure mistargraph fig:mitm fbox includegraphics textwidth MitM-based noindent setcounter enumi newpart sec:mitm KohMuePfe:kbimss17 WieKohRab:vtuimkb17 newcounter techtable newcommand stepcounter thetechtable WPref ProKoh:mwsofse11 taskref lmfdbservice flexiformal visualization % LocalWords: eucommentary textsuperscript textregistered textsuperscript specialised rerunnable Kohonen's reuser compactitem graybox whitebox realized oldpart organizational hline emph fig:trl compactenum centering WPtref Kohonen optimized Modelica zbMATH swMATH inparaenum Emmo specialized Harrison:hlti96 formalization standardized organizing datasest BerGel:ilp03 decentralized organized lmfdb:on cdot10 Conder Wanless visualizations zbMAH oeis PotocnikCensuses:on sec:trls wrapfigure mistargraph fig:mitm fbox includegraphics textwidth MitM-based noindent setcounter enumi newpart sec:mitm KohMuePfe:kbimss17 WieKohRab:vtuimkb17 newcounter techtable newcommand stepcounter thetechtable WPref ProKoh:mwsofse11 taskref lmfdbservice flexiformal visualization
% LocalWords: textregistered recomputation textbf textbf rigourous centred flagshsip % LocalWords: textregistered recomputation textbf textbf rigourous centred flagshsip
% LocalWords: subsubsection realisation textit % LocalWords: subsubsection realisation textit
...@@ -85,7 +85,6 @@ But in the face of millions of defined concepts in mathematics, this has so far ...@@ -85,7 +85,6 @@ But in the face of millions of defined concepts in mathematics, this has so far
Moreover, large mathematical datasets are usually shared in highly optimized encodings (or even a hierarchy of consecutive encodings), which knowledge representation languages must capture as well to allow for data interoperability. Moreover, large mathematical datasets are usually shared in highly optimized encodings (or even a hierarchy of consecutive encodings), which knowledge representation languages must capture as well to allow for data interoperability.
The proposers have developed or been involved with multiple leading candidates for such representation languages that will be integrated into a standard language by \TheProject. The proposers have developed or been involved with multiple leading candidates for such representation languages that will be integrated into a standard language by \TheProject.
%\ednote{FR: I've commented out some text here that I found rather technical without being very helpful.}
%What we need is a deep FAIR mathematical interoperability framework which takes ``semantic referencing'' of mathematical objects seriously and builds differing, but equivalent, representation approaches into the system at the core. %What we need is a deep FAIR mathematical interoperability framework which takes ``semantic referencing'' of mathematical objects seriously and builds differing, but equivalent, representation approaches into the system at the core.
%OpenMath and content MathML go the first step towards this by ``semantically referencing'' a concept via its name and a pointer to the content dictionary that defines it, but lack a system of interpretations (crosswalks) between content dictionaries. %OpenMath and content MathML go the first step towards this by ``semantically referencing'' a concept via its name and a pointer to the content dictionary that defines it, but lack a system of interpretations (crosswalks) between content dictionaries.
...@@ -430,7 +429,7 @@ All partners will follow inclusive practices in recruiting staff for this projec ...@@ -430,7 +429,7 @@ All partners will follow inclusive practices in recruiting staff for this projec
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% -*-mode: LaTeX; coding: utf-8;-*- % -*-mode: LaTeX; coding: utf-8;-*-
% LocalWords: eucommentary programme authorisation includegraphics textwidth textbf WPs subsubsections pretinent categorization optimized ednote cdot textit reuser standardized realized visualization citability oldpart desingularisation algorithmisation transclusion newpart standardization encdata xspace Encdata xspace textsf specialized analyzing centering co-organized hline PotocnikCensuses:on Vidali llp Conder ConderCensuses:on LeemansPolytopes:on zbMATH Emmo swMATH DisreteZOO Lemurell inparaenum oafdata modelicadata Modelica lmfdbdata Kohonen sec:saod noindent PB:enc triplestores w3c:sparql11-query LehIseJak:dlsmkbew13 HofSucBer:yago2a organizations summarized OAFproject:on multirow zblmath:online disambig lmfdb:on sec:mitm BilTen:fingerprint13 inparahighlight standardizing a,b l,h mathbb p,q infty leq Cauchy-Scharz circ circ sec:trls medskip % LocalWords: eucommentary programme authorisation includegraphics textwidth textbf WPs subsubsections pretinent categorization optimized cdot textit reuser standardized realized visualization citability oldpart desingularisation algorithmisation transclusion newpart standardization encdata xspace Encdata xspace textsf specialized analyzing centering co-organized hline PotocnikCensuses:on Vidali llp Conder ConderCensuses:on LeemansPolytopes:on zbMATH Emmo swMATH DisreteZOO Lemurell inparaenum oafdata modelicadata Modelica lmfdbdata Kohonen sec:saod noindent PB:enc triplestores w3c:sparql11-query LehIseJak:dlsmkbew13 HofSucBer:yago2a organizations summarized OAFproject:on multirow zblmath:online disambig lmfdb:on sec:mitm BilTen:fingerprint13 inparahighlight standardizing a,b l,h mathbb p,q infty leq Cauchy-Scharz circ circ sec:trls medskip
% LocalWords: thebigpicture subcommunities findstat emph emph knowls IPython Linbox ce % LocalWords: thebigpicture subcommunities findstat emph emph knowls IPython Linbox ce
% LocalWords: clearpage subsubsection Swinnerton-Dyer Millenium desingularization Serre % LocalWords: clearpage subsubsection Swinnerton-Dyer Millenium desingularization Serre
% LocalWords: Hironaka algorithmization Villamayor Serre's Mestre Simulagora Wakari.io % LocalWords: Hironaka algorithmization Villamayor Serre's Mestre Simulagora Wakari.io
......
...@@ -59,7 +59,6 @@ The concrete researcher roles in addition to the PIs are as follows (compare the ...@@ -59,7 +59,6 @@ The concrete researcher roles in addition to the PIs are as follows (compare the
\item \site{CAE} will hire one industrial software engineer with expertise in language parsing and compiler construction. Their focus will be on implementation of the Modelica-related services and tools. \item \site{CAE} will hire one industrial software engineer with expertise in language parsing and compiler construction. Their focus will be on implementation of the Modelica-related services and tools.
\item \site{PS} will hire one research software engineer, who will focus on SageMath-related implementation work. \item \site{PS} will hire one research software engineer, who will focus on SageMath-related implementation work.
\end{compactitem} \end{compactitem}
\ednote{@EMS,@CHA,@FIZ: This is a description of who you will hire, which doubles as a plausibility check that the tasks assigned to you add up to an attractive and feasible job descriptions; check it and revise as needed}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\subsubsection{Previous Collaborations} \subsubsection{Previous Collaborations}
......
\begin{newpart}{KPIs draft -- MK: these general KPIs should probably go into implementation section.}
\begin{itemize}
\item Coverage of types of mathematical data.
\item Services, datasets standardized?
\item Standards developed?
\item ISO standard success story
\item Number of services.
\item Number of users signed up.
\item Number of datasets included (coverage).
\item Number of citations of datasets/services
\item Poll/interviews with researchers.
\item Press releases, Carpentry lessons
\item Interviews with authors of papers using datasets.
\item Blog posts.
\item Social media followers.
\item Website visits.
\item Participation in conferences and workshops.
\item Workshop organization.
\item Diversity?
\item Use cases, papers, blog posts.
\end{itemize}
\end{newpart}
\ednote{KB: include side benefits as aims}
\begin{oldpart}{copied from ODK}
The following Key Performance Indicators (KPI) show how \TheProject addresses the specific impacts
listed in the work programme. KPIs were thought through by the members
of \TheProject so that they are meaningful, reusable, realistic and easily measurable. The following
qualitative and quantitative indicators are divided into the four aims of \TheProject.
If quantitative indicators are more useful for reporting and internal evaluation, qualitative
indicators will give content for further dissemination and communication purposes,
for example through the project website
\footnote{We will survey mathematical departments
(and relevant members of other departments)
at the end of each Reporting Period (M18, and M36) to gauge the awareness of the
existence and capabilities of \TheProject and its components, and to collect
statistical data for estimating Key Performance Indicators listed
in the table. The success factor is a positive change between the three surveys.}.
\newenvironment{myaim}[1]
{\noindent{\textbf{#1:}} \begingroup\it}
{\endgroup}
\begin{myaim}{Aim 1}
Improve the productivity of researchers in pure mathematics and
applications by promoting collaborations based on mathematical
software, data, and knowledge.
\end{myaim}
\begin{itemize}
\item Success stories reported as blogposts (Qualitative).
\end{itemize}
\begin{myaim}{Aim 2}
Make it easy for teams of researchers of any size to set up custom,
collaborative Virtual Research Environments tailored to their
specific needs, resources and workflows. The \VREs should support
the entire life-cycle of computational work in mathematical
research, from initial exploration to publication, teaching and
outreach.
\end{myaim}
\begin{itemize}
\item Success stories about \ODK based VRE deployments and
generally speaking adoption of \ODK's components (Qualitative);
\item List of known \ODK based VRE deployments (Quantitative);
\item Number of installs of \ODK's components via platform-specific
distribution channels: Debian popcon, Arch statistics, installer
downloads, etc. (Quantitative).
\end{itemize}
\begin{myaim}{Aim 3}
Identify and promote best practices in computational mathematical
research including: making results easily reproducible; producing
reusable and easily accessible software; sharing data in a
semantically sound way; exploiting and supporting the growing
ecosystem of computational tools.
\end{myaim}
\begin{itemize}
\item Success stories (Qualitative);
\item Number of PyPI hosted packages for \Sage, and similarly for
other components (Quantitative);
\item Number of additional systems made interoperable with the
Math-in-the-Middle architecture, on top of the three for the Month
36 prototype (Quantitative);
\item Metrics on the scale of the Math-in-the-Middle architecture;
e.g. number of API CDs generated and number of alignments
(Quantitative).
\end{itemize}
\begin{myaim}{Aim 4}
Maximise sustainability and impact in mathematics, neighbouring
fields, and scientific computing.
\end{myaim}
\begin{itemize}
\item Success stories resulting from dissemination activities such as
workshops (Qualitative);
\item Statistics on workshops organized and conference presentations
delivered as part of our dissemination activities, including
estimates of number of attendees (Quantitative);
\item Number of courses and departments \ODK worked with directly and
an estimate of how many students this subsequently affected
(Quantitative).
\end{itemize}
\end{oldpart}
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...@@ -6,26 +6,9 @@ ...@@ -6,26 +6,9 @@
This proposal relates to the topic ``Prototyping new innovative services (INFRAEOSC-02-2019)'' of the call ``Implementing the European Open Science Cloud This proposal relates to the topic ``Prototyping new innovative services (INFRAEOSC-02-2019)'' of the call ``Implementing the European Open Science Cloud
(H2020-INFRAEOSC-2018-2020)''. (H2020-INFRAEOSC-2018-2020)''.
\ednote{The ODK proposal said very little here. It may be wise to be more specific.}
\subsubsection{Specific Challenge} \subsubsection{Specific Challenge}
\eucommentary{Develop an agile, fit-for-purpose and sustainable service offering accessible through the EOSC hub that can satisfy the evolving needs of the scientific community by stimulating the design and prototyping of novel innovative digital services. Innovative models of collaboration that genuinely include incentive mechanisms for a user oriented open science approach should be considered.} \eucommentary{Develop an agile, fit-for-purpose and sustainable service offering accessible through the EOSC hub that can satisfy the evolving needs of the scientific community by stimulating the design and prototyping of novel innovative digital services. Innovative models of collaboration that genuinely include incentive mechanisms for a user oriented open science approach should be considered.}
% \ednote{Agile properties (http://agilemanifesto.org/principles.html)
% 1. Early and continuous delivery of valuable software.\ednote{Does it make sense to start by advertising EUDAT to the mathematics community?}
% 2. Welcome changing requirements.
% 3. Deliver working software frequently.
% 4. Continuous attention to technical excellence, simplicity (the art of maximising the amount of work not done) and reflection at regular intervals.
% For services:
% 1. Individuals and interactions over processes and tools.
% 2. Working services over comprehensive documentation.
% 3. Customer collaboration over contract negotiation.
% 4. Responding to change over following a plan.
% }
% \ednote{Fit-for-purpose is a common term to describe the ideal level of quality for products, services, processes or information. The term implies that quality is a subjective or situational term that can only be defined in terms of the goals of an organization, individual or set of individuals such as the customers of a business.
% appropriate, and of a necessary standard, for its intended use
% no more and no less than what the client needs}
% \ednote{sustainable: economically, environmentally, ...?}
The objectives of \TheProject fits the scope of the call perfectly. The objectives of \TheProject fits the scope of the call perfectly.
There are currently a variety of highly innovative and widely used services for digital data in the mathematical sciences. There are currently a variety of highly innovative and widely used services for digital data in the mathematical sciences.
......
...@@ -48,7 +48,7 @@ A Pert chart showing the \textbf{interrelation of the tasks} is given in Figure~ ...@@ -48,7 +48,7 @@ A Pert chart showing the \textbf{interrelation of the tasks} is given in Figure~
\input{WorkPackages/WorkPackages} \input{WorkPackages/WorkPackages}
\gantttaskchart[draft,xscale=.33,yscale=.33,milestones] \gantttaskchart[draft,xscale=.33,yscale=.33,milestones]
\ednote{MK: This chart only contains preliminary information, we will redo/tweak this when the tasks have stabilized.}
\ifgrantagreement\else \ifgrantagreement\else
\newpage \newpage
\subsubsection{List of Deliverables}\label{sec:deliverables} \subsubsection{List of Deliverables}\label{sec:deliverables}
......
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