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authorMohammad Akhlaghi <mohammad@akhlaghi.org>2020-05-01 02:10:03 +0100
committerMohammad Akhlaghi <mohammad@akhlaghi.org>2020-05-01 02:10:03 +0100
commit842fd2f0f6b17ce040e6c60dff6b9eb4db9e318e (patch)
treeb6249def6ed0f5018b47abfa361615ece0784ae9
parentce485fca250477546d8c96c5a9034f8768f884df (diff)
Abstract re-written to better highlight the uniqueness of Maneage
This abstract is a first step in order to put more focus on the research aspects of Maneage.
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%% Abstract
{\noindent\mpregular
- The era of big data has ushered an era of big responsibility.
- In the absence of reproducibility, as a test on understanding data lineage, the result can be the subject of perpetual debate.
- To address this problem, we introduce Maneage (management + lineage) which is founded on the principles of completeness (e.g., no dependency beyond a POSIX-compatible operating system, no administrator privileges, and no network connection), modular and straightforward design, temporal provenance, scalability, and free software.
- A project using Maneage is fully stored in machine\--action\-able, and human\--read\-able plain-text format, facilitating version-control, publication, archival, and automatic parsing to extract data provenance.
- The provided lineage is not limited to high-level processing, but also includes building the necessary software from source with fixed versions and build configurations.
- Additionally, a project's final visualizations and narrative report are also included, establishing direct links between the analysis and the narrative or visualizations, to the precision of a word within a sentence or a point in a plot.
- Maneage also enables incremental projects, where a new project can branch off an existing one, with moderate changes to enable experimentation on published methods.
- Once Maneage is implemented in a sufficiently wide scale, automatic and optimized workflow creation through machine learning, or automating data management plans, can easily be set up.
- Maneage was a recipient of a research data alliance (RDA) Europe Adoption Grant in 2019, and has already been tested and used in several scientific papers, including the present one, with snapshot \projectversion.
+ Over the last 30 years, many reproducible workflow solutions have been proposed, mostly using the common high-level technology of the day.
+ Thus providing immediate reproducibility, but problematic in the long-term because high-level technologies evolve.
+ Scientists are accountable to their results decades later, and don't have the resources to re-write their projects.
+ This creates generational gaps between scientists and makes it hard to build upon previous work.
+ In this paper, we report the result of our research project on a fundamentally new design that is founded on the principles of completeness (e.g., no dependency beyond a POSIX-compatible operating system, no administrator privileges, and no network connection), with modular and straightforward design, temporal provenance, scalability, and free software.
+ It is called Maneage (managing+lineage) and is stored in machine-actionable, and human-readable plain-text format.
+ Facilitating version-control, publication, archival, and automatic parsing to extract data provenance.
+ It can build its environment automatically, possibly, in virtual machines, containers or any future technology as a binary blob for immediate/fast reproduction.
+ Maneage has already been used in several scientific publications including the present one, with snapshot \projectversion.
\horizontalline
\noindent