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Showing content from https://github.com/ropensci/software-review/issues/224 below:

arkdb · Issue #224 · ropensci/software-review · GitHub

• What does this package do? (explain in 50 words or less):

Read in large, compressed text files into a databases in chunks. Write all tables in a database out into compressed tsv files.

• Paste the full DESCRIPTION file inside a code block below:

Package: arkdb
Version: 0.0.0.9000
Title: Archive and Unarchive Databases Using Flat Files
Description: Flat text files provide a more robust, compressable,
  and portable way to store tables.  This package provides convenient
  functions for exporting tables from relational database connections
  into compressed text files and streaming those text files back into
  a database without requiring the whole table to fit in working memory.
Authors@R: c(person("Carl", "Boettiger", 
                    email = "cboettig@gmail.com", 
                    role = c("aut", "cre", "cph"),
                    comment=c(ORCID = "0000-0002-1642-628X")),
              person("Richard", "FitzJohn", role = "ctb"))
URL: https://github.com/cboettig/arkdb
BugReports: https://github.com/cboettig/arkdb/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1.9000
Roxygen: list(markdown = TRUE)
Imports: 
    dbplyr,
    DBI,
    readr,
    RSQLite,
    progress,
    dplyr,
    methods
Suggests: 
    nycflights13,
    testthat,
    knitr,
    covr,
    fs,
    rmarkdown

• URL for the package (the development repository, not a stylized html page):

https://github.com/cboettig/arkdb

• Please indicate which category or categories from our package fit policies this package falls under *and why(? (e.g., data retrieval, reproducibility. If you are unsure, we suggest you make a pre-submission inquiry.):

data deposition! Because good archiving formats are crucial. Kinda crazy how many researchers and repositories distribute data only through APIs and uncompressed sql dumps.

•   Who is the target audience and what are scientific applications of this package?  

Researchers working with large data files

• Are there other R packages that accomplish the same thing? If so, how does
  yours differ or meet our criteria for best-in-category?

I don't think so?

•   If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted.

Confirm each of the following by checking the box. This package:

• does not violate the Terms of Service of any service it interacts with.
• has a CRAN and OSI accepted license.
• contains a README with instructions for installing the development version.
• includes documentation with examples for all functions.
• contains a vignette with examples of its essential functions and uses.
• has a test suite.
• has continuous integration, including reporting of test coverage, using services such as Travis CI, Coveralls and/or CodeCov.
• I agree to abide by ROpenSci's Code of Conduct during the review process and in maintaining my package should it be accepted.

• Do you intend for this package to go on CRAN?
• Do you wish to automatically submit to the Journal of Open Source Software? If so:
  • The package has an obvious research application according to JOSS's definition.
  • The package contains a paper.md matching JOSS's requirements with a high-level description in the package root or in inst/.
  • The package is deposited in a long-term repository with the DOI:
  • (Do not submit your package separately to JOSS)
• Do you wish to submit an Applications Article about your package to Methods in Ecology and Evolution? If so:
  • The package is novel and will be of interest to the broad readership of the journal.
  • The manuscript describing the package is no longer than 3000 words.
  • You intend to archive the code for the package in a long-term repository which meets the requirements of the journal (see MEE's Policy on Publishing Code)
  • (Scope: Do consider MEE's Aims and Scope for your manuscript. We make no gaurantee that your manuscript willl be within MEE scope.)
  • (Although not required, we strongly recommend having a full manuscript prepared when you submit here.)
  • (Please do not submit your package separately to Methods in Ecology and Evolution)

• Does R CMD check (or devtools::check()) succeed? Paste and describe any errors or warnings:

R CMD check results
0 errors | 0 warnings | 0 notes

• Does the package conform to rOpenSci packaging guidelines? Please describe any exceptions:

• If this is a resubmission following rejection, please explain the change in circumstances:

• If possible, please provide recommendations of reviewers - those with experience with similar packages and/or likely users of your package - and their GitHub user names:

  • @richfitz (I've listed him as a contributor because I've borrowed code from his other packages here, so I don't think that counts as a conflict of interest(?))
  • @jimhester
  • Maybe an easy package for a first-time reviewer, since this is rather minimal?

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