PROJECTNAME                        # In the format of: TYPE_YYYYMM_PROJECTNAME (see below for more details)
    |- docs/                           # directory for documentation, one subdirectory for manuscript
    |  |- project/                     # project descrption and the admin docs; include project_name_description.txt
    |  |- meetings/
    |  |- lit/                         # reference materials
    |  |- proposal/
    |     |- solicit/                  # the research solicitation (e.g. RFP, RFI) and related material
    |     |- examples/                 # other successful proposals
    |     |- staff
    |     |- budget
    |     |- figures/
    |     |- drafts/
    |        +- DRAFTS                 # see below on DRAFTS formatting
    |
    |- data/                           # data for storing fixed data sets (see below)
    |  |- 1_original/                  # originally received data stored as read-only/nonvolatile
    |  |- 2_working/
    |  |- 3_tidy/                      # original data that has been tranformed to 3rd Normal Form (e.g. tidyR) format (see below)
    |  +- 4_clean/                     # data that has been cleaned and transformed for specific analysis
    |
    |- analysis/                       # any source code, this includes code to clean data sets
    |  |- username                     # home directories for project user code
    |     |- code/                     # subset your code by language
    |     |  |- R/
    |     |  |- PY/
    |     |  |- SAS/
    |     |  +- HACKS/
    |     |
    |     |- results/
    |        +- YYYMMDD_NAME_VER.TYPE  # see below for formatting
    |
    |- present/                        # presentations
    |
    |- report|paper|program/
    |  +- YYYMMDD_NAME_STATUS[_VER]    # see below for formatting
    |
    |- scratch/                        # temporary files that can be safely deleted or lost
    |- README                          # the top level description of content
    |- study.Rmd                       # executable Rmarkdown for this study, if applicable
    |- Makefile                        # executable Makefile for this study, if applicable
    |- study.Rproj                     # RStudio project for this study, if applicable
    |- datapackage.json                # metadata for the (input and output) data files

#####PROJECTNAME
    Syntax: TYPE_YYYYMM_PROJECTNAME
    Options: TYPE = {PRJ "Project", PAP "Paper", PRG "Program", RES "Resource", MSC "Miscellaneous"}
    Example: PRJ_201503_MYPROJECT

#####DRAFTS
    Syntax: YYYYMMDD_NAME_STATUS[_VER]
    Options: STATUS = {DRAFT, FINAL}
    Example: 20150622_myproposal_draft_v3.docx

#####RESULTS
    Syntax: YYYYMMDD_NAME_VER.TYPE
    Example: 20150819_mynewdataset_v2.csv
    Example: 20150819_mystatresults_v5.txt

#####REPORT|PAPER|PROGRAM
    Syntax: YYYYMMDD_NAME_STATUS[_VER]
    Options: STATUS = {DRAFT, FINAL}
    Example: 20150622_myreport_final.docx
    Example: 20150419_myprogram_v3.py

#####--DATA--TIDY
    TIDY data has been transformed from raw archived data into 3rd Normal Form (e.g. TidyR Protocol)
    1 -Each variable forms a column.
    2 -Each observation forms a row.
    3 -Each type of observational unit forms a table.
    The data file can be a .csv or a database query file (e.g. .R, .py, .sql).
    A descriptive metadata file in .json format should be included with each base dataset.