[PRE REVIEW]: Cost-Effective Big Data Orchestration Using Dagster: A Multi-Platform Approach

[editorialbot]

Submitting author: @HPicatto (Hernan Picatto)
Repository: https:/ascii-supply-networks/ascii-hydra
Branch with paper.md (empty if default branch): main
Version: v1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Daniel S. Katz

Status

Status badge code:

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Markdown: [![status](https://joss.theoj.org/papers/1db822bc87da6077a55f4b7eba160875/status.svg)](https://joss.theoj.org/papers/1db822bc87da6077a55f4b7eba160875)

Author instructions

Thanks for submitting your paper to JOSS @HPicatto. Currently, there isn't a JOSS editor assigned to your paper.

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.04 s (1002.4 files/s, 126057.7 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          29            568            416           3557
Markdown                         2             72              0            225
TOML                             4             27              2            127
TeX                              1              1              0             80
make                             1              5             21             48
JSON                             4              0              0              7
-------------------------------------------------------------------------------
SUM:                            41            673            439           4044
-------------------------------------------------------------------------------

Commit count by author:

    23	geoHeil
     9	Georg Heiler
     7	HPicatto
     2	Hernan

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.1145/2934664 is OK
- 10.1145/3472883.3486982 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Dagster | Cloud-native Orchestration of Data Pipel...
- No DOI given, and none found for title: Cost efficient alternative to databricks lock-in

❌ MISSING DOIs

- 10.1145/3514221.3526054 may be a valid DOI for title: Photon: A fast query engine for lakehouse systems
- 10.1007/s11192-020-03726-9 may be a valid DOI for title: Web mining for innovation ecosystem mapping: a fra...

❌ INVALID DOIs

- https://doi.org/10.1016/j.future.2023.12.026 is INVALID because of 'https://doi.org/' prefix

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 3030

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🔴 Failed to discover a valid open source license

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

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[danielskatz]

👋 @HPicatto - thanks for your submission.

As track editor, I see a bunch of things that prevent me from moving forward on this.

1. Your repository does not look like that of a normal extensible library. I don't see any of the metadata files I would expect, such as a README and a LICENSE (The last is in fact required for JOSS submission; see https://joss.readthedocs.io/en/latest/submitting.html#submission-requirements) nor documentation, packaging, installation instructions, testing, etc.
2. The paper is over 3 times as long as suggested for a JOSS paper: 3000 words vs 250-1000. Please see the example paper. JOSS requires short papers that focus on the core need and use of the software. Other information is typically in the documentation, or perhaps a theory paper that is submitted to a more traditional journal, or even a preprint/report.
3. editorialbot suggests some DOI problems, but note that not all suggested additions are necessarily correct.

If I only found the last two problems, I would pause this submission and wait for you to fix them. But given the first, I'm going to desk reject this submission now. If you want to address these three problems (or at least the first two), JOSS would welcome your resubmission.

[danielskatz]

@editorialbot reject

[editorialbot]

Paper rejected.