Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Agile (data) science: a (draft) manifesto   Science has a data management as well as a project management problem. While
industrial grade data science teams have embraced the *agile* mindset, and
adopted or created all kind of tools to manage reproducible workflows,
academia-based science is still (mostly) mired in a mindset that's focused on a
single final product (a paper), without focusing on incremental improvement
and, over all, reproducibility. In this report we argue towards the adoption of
the agile mindset and agile data science tools in academia, to make a more
responsible, sustainable, and above all, reproducible science.

14
The categories of this paper are: math-ph
2
The categories of this paper are: math
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin