ro-crate-excel

Node library with utilities for converting RO-Crates to Spreadsheet format for data entry and vice versa

This replaces the Calcyte tool, both the javascript and previous Python versions.

What is this?

This is a library for building tools to assist in JSON-lD data entry, it has been built for RO-Crate but could be used for more general purpose JSON-LD <-> Spreadsheet conversion.

Installation

To use the script

npm install ro-crate-excel --global

As a docker container (experimental)

Clone this repository, change into the root then make a container:

docker build -t rocxl .

Run the container:

docker run -v ~/path/to/data/:/data rocxl -d 5 /data

For development

Get this repository (assuming you are working in ~/working):

git clone https://github.com/UTS-eResearch/ro-crate-excel.git ~/working/ro-crate-excel

Change into the directory: cd ~/working/ro-crate-excel

Install the app:

npm install
npm link # to install the rocxl script

Run the tests:

npm test

or a specific test:

npm test test/update.crate.spec.js 

Usage

To run this code use the rocxl (Excel <-> Research Object) script.

rocxl creates RO-Crates with an HTML entry-point in a ro-crate-preview.html file.

Usage:

./rocxl 
Usage: rocxl [options] <directories...>

Generates an Excel spreadsheet and RO-Crate metadata from a set of files and updates the RO-Crate with data filled in the spreadsheet.

To generate an Excel spreadsheet from an ro-crate-metadata.json file instead, use the --JSON option.

The file system is ALWAYS traversed and file information merged into existing metadata.

Options:
  -V, --version                    output the version number
  -b,  --bag [bag-dir]             Create Bagit Bag(s) under [bag-dir])
  -a,  --add                       Add metadata from additional-ro-crate-metadata.xlsx to an existing ro-crate-metadata.json crate). Does not re-write the excel input file ro create ro-crate-metadata.xslsx.
  -z   --zip                       Zip the bagged ro-crate (only works with --bag
  -j   --JSON                      Use the ro-crate-metafata.json file rather than ro-crate-metadata.xslx
  -p   --partOf [partOf]           This is part of another RO-Crate, supply the ro-crate-metadata.json path.
  -d,  --depth [depth]             Maximum depth to recurse into directories looking for files
  -r,  --recurse                   Recurse into directories looking for files
  -c,  --cratescript [cratesript]  URL of Crate-script directory
  -m,  --maxfiles [maxfiles]       Maximum number of files to itemise per directory (default is undefined)
  -u, --url [distro]               Distribution URL
  -h, --help                       output usage information

To run rocxl on a group of directories pass it a list of directories

One directory:

rocxl test_data/Glop_Pot -r

This will:

• Traverse the entire Glop_Pot directory, and generate or update the ro-crate-metadata.xlsx files.
• Create or update the test_data/Glop_Pot/ro-crate-metadata.json`` file
• Create a [RO-Crate] Website with entry-point test_data/Glop_Pot/ro-crate-metadata.html

All the sample directories:

rocxl -r test_data/* -c https://data.research.uts.edu.au/examples/ro-crate/examples/src/crate.js

rocxl will generate:

• A ro-crate-metadata.xlsx file in each root directory (this is for humans to fill in with metadata about the data)

• An ro-crate-metadata.json file containing JSON-LD metadata derived from the spreadsbeet some basic file-format information.

• An ro-crate-preview.html file generated from ro-crate-metadata.json

See the examples in test_data.

To create an excel file in which to describe a bunch of objects

To describe some things such as large numbers of predictably named files using a spreadsheet but use another tools such as Crate-O to describe the root dataset and top levl context

Assuming data is in mydir.

• Create an excel crate in mydir

  xlro -d 5 mydir

• Move the resulting .xlsx file out of the way

  mv mydir/ro-crate-metadata.xlsx mydir/additional-ro-crate-metadata.xlsx

• Add whatever is needed to additional-ro-crate-metadata.xlsx to describe the files therein, and their relationship to RepositoryObject and RepositoryCollection entities

• Edit the mydir/ro-crate-metadata.json file other tools of your choice

• Re-generate mydir/ro-crate-metadata.json with metadata from mydir/additional-ro-crate-metadata.xlsx by typing: xlro -a mydir

About the spreadsheet format

This library allows transformation between RO-Crate and Excel spreadsheets using multiple worksheets in a workbook which is named 'ro-crate-metadata.xslx' and appears alongside the ro-crate-metadata.json file in the root of the dataset.

SheetDefaults Worksheet

Optionally, a sheet name SheetDefaults can specify a defult item template for that worksheet.

This sheet (at the moment) has two rows - the top row lists the names of worksheets that have default values and the second

| SheetName | File | RepositoryObject | Person | itemtemplate | {"@type": "File"} | {"@type": "RepositoryObject", "license" : "LICENSE.txt"} | {"@type": "Person"}

With the above configuration every object in the sheet named RepositpryObject will have {"@type": "RepositoryObject", "license" : "LICENSE.txt"} as a starting point -- any additional valies such as a @type column will be added to the item.

The Root Dataset Worksheet

The root dataset item is represented by a worksheet named "RootDataset" referred to as the Root Dataset Worksheet; this worksheet has two columns, Name and Value. Each value of a property is represented as a row in the spreadsheet.

For example - the worksheet for this Dataset:

{
    "@id": "./",
   "@type": "Dataset",
    "datePublished": "2017",
    "name": "Example Dataset",
    "identifier": "https://doi.org/10.4225/59/59672c09f4a4b", 
    "description": "Do try to put more info in here than the title. Please.",
    "author": [{"@id": "https://orcid.org/0000-0002-3545-944X"}, {"@id": "https://orcid.org/0000-0001-5152-5307"}],
    "license": {"@id": "https://creativecommons.org/licenses/by-nc-sa/3.0/au/"}
 }

Is structured as per this table

Name	Value
@id	./
@type	Dataset
name	Example Dataset
description	Do try to put more info in here than the title. Please.
author	"Peter Sefton"
author	"Michael Lynch"
license	"https://creativecommons.org/licenses/by-nc-sa/3.0/au/"

Multiple values use multiple lines

The multi-valued author property is represented as two rows as this is convenient to do in this vertically aligned Name/Value format.

References

The quotes around the Values for license and author indicate that the value is a reference to another item - these references can be to the name or @id property of the item. If the license and person items are JSON-LD items like these:

{
  "@id": "https://creativecommons.org/licenses/by/4.0/",
  "@type": "CreativeWork",
  "name": "CC BY 4.0",
  "description": "Creative Commons Attribution 4.0 International License"
},
{
  "@id": "http://orcid.org/0000-0002-3545-944X",
  "@type": "Person",
  "name": "Peter Sefton",
  "familyName": "Sefton",
  "givenName": "Peter",
  "affiliation": {
    "@id": "https://ror.org/0384j8v12"
  }
}

{
  "@id": "https://orcid.org/0000-0001-5152-5307",
  "@type": "Person",
  "name": "Michael Lynch",
  "familyName": "Lynch",
  "givenName": "Michael",
  "affiliation": {
    "@id": "https://ror.org/0384j8v12"
  }
}

Then the Person and the CreativeWork will be described in two additional worksheets named @type=Person and @type=CreativeWork, these Type Worksheets use a different format to represent one item per line.

The @type=Person worksheet is as follows:

@id	@type	name	FamilyName	givenName	affiliation
http://orcid.org/0000-0002-3545-944X	Person	Peter Sefton	Sefton	Peter	"https://ror.org/0384j8v12"
https://orcid.org/0000-0001-5152-5307	Person	Michael Lynch	Lynch	Michael	"https://ror.org/0384j8v12"

And the @type=CreativeWork worksheet:

@id	@type	name	description
https://creativecommons.org/licenses/by/4.0/	CreativeWork	CC BY 4.0	Creative Commons Attribution 4.0 International License

Adding addtional @types using isType_

If there is a column named isType_<Type> such as istype_Annotation then rows representing items will have an additional type (eg Annotation) if the value of the cell evalutates to True (ie it has a non empty, no-zero value).

@id	@type	name	description	isType_Annotation
somefile.txt	CreativeWork	My annotation	A description of

Referring to other items

Columns with names that start with isRef_ are converted as references to an ids references to an @id, e.g.:

@id	@type	isRef_hasAnnotation
my_audio.wav	File	./my_audio_annotation.json

Will be converted to

{
  "@id": "Mmy_audio.wav",
  "@type": "File",
  "hasAnnotation" : {"@id": "./my_audio_annotation.json"}
}

Columns with names that start with isTerm_ are treated as references to vocabulary items that are defined in the context:

So assuming the @context sheet contains:

name	@id
ldac	http://purl.archive.org/language-data-commons/terms#

@id	@type	isTerm_annotationType
my_audio.wav	File	ldac:Dialogue

The resulting item will be:

{
  "@id": "my_audio.wav",
  "@type": "File",
  "annotationType" : {"@id": "http://purl.archive.org/language-data-commons/terms#Dialogue"}
}

Representing multiple values

To represent multiple values - for example if there are multiple affiliations for a person there are two ways to accomplish this:

1. Repeat a column header with the SAME name as many times as needed (for the maximum number of repeats in the colum), OR
2. Use a comma separated list enclosed in square brackets

@id	@type	name	FamilyName	givenName	affiliation
http://orcid.org/0000-0002-3545-944X	Person	Peter Sefton	Sefton	Peter	["https://ror.org/0384j8v12", http://ptsefton.com]

This approach can also be used in the Root Dataset Worksheet. The URL is treated as a string value as it is not enclosed in double quotes.

Name	Value
author	["Peter Sefton", http://ptsefton.com]

These values will be interpreted as references, omitting the quotes will cause a value to be interpreted as a string.

Hiding values (and showing provenance)

To stop a column in the spreadsheet from being copied to the output crate, add a "." to the name. For example, if an orignal data source uses the term Title, then in order to show the provenance of the data, create a column called name (which is the RO-Crate correct term for the name of a work), and use a formula to copy the data into the name column.

.Title	name
A Short Introduction to Spreadsheets	=A1

Embedding JSON

To avoid having to create @type Worksheets for things such as GeoCoordinates or PropertyVale items, items, or arrays of items may be embedded in a cell using standard JSON-LD.

For example, this Place item:

{
  "@id": "http://www.geonames.org/8152662/catalina-park.html",
  "@type": "Place",
  "address": "Katoomba, NSW",
  "description": "Catalina Park is a disused motor racing venue, located at Katoomba, in the Blue Mountains, New South Wales, Australia, and is recognised as an Aboriginal Place due to the long association of the local Gundungarra and Darug clans to the area.",
  "geo": {
    "@id": "#d2c5b5e0-a720-4b21-ad3a-f44ad89488e7"
  },
  "name": "Catalina Park"
}

Can be represented in the @type=Place worksheet:

@id	@type	address	description	geo	name
http://www.geonames.org/8152662/catalina-park.html	Place	Katoomba, NSW	Catalina Park is a disused motor racing venue, located at Katoomba, in the Blue Mountains, New South Wales, Australia, and is recognised as an Aboriginal Place due to the long association of the local Gundungarra and Darug clans to the area.	{"@id":"#d2c5b5e0-a720-4b21-ad3a-f44ad89488e7","@type":"GeoCoordinates","latitude":"-33.7152","longitude":"150.30119","name":"Latitude: -33.7152, Longitude: 150.30119"}	Catalina Park

NOTE: Any cell that contains at least one { and one } will be parsed as JSON - if that fails it will be included as an escaped string.

Adding additional properties to the @context

TODO

If the URL for a property does not resolve to a useful URL.

In this case define an item of @type Property in the @type=Property worksheet (or if you're starting with a crate, add an item of @type Property to the graph.) The @id should be the URL of the fully resolved property - to use the example from the spec

@id	@type	name	description	sameAs
http://purl.org/ontology/bibo/interviewee	Property			http://neologism.ecs.soton.ac.uk/bibo.html#interviewee

{
  "@context": [ 
    "https://w3id.org/ro/crate/1.0/context",
    {"interviewee": "http://purl.org/ontology/bibo/interviewee"},
  ],
  "@graph": [
    {
      "@id": "http://purl.org/ontology/bibo/interviewee",
      "sameAs": "http://neologism.ecs.soton.ac.uk/bibo.html#interviewee",
      "@type": "Property" 
    }
  ]
}

If the property is locally defined

To define a local property which is specific to a dataset or because there is no available public ontology that has one - define it in the graph as an item of @type rdf:Property, as per the RO-Crate Spec advice on ad hoc terms.

{
  "@context": [ 
    "https://w3id.org/ro/crate/1.0/context",
    {"myProp": "https://w3id.org/ro/terms/myNameSpace/#myProp"},
  ],
  "@graph": [
    {
      "@id": "https://w3id.org/ro/terms/myNameSpace/#myProp",
      "@type": "rdf:Property",
      "rdfs:label": "myProp",
      "rdfs:comment": "This is my custom property I want to use in describing things"
  }
 ]
}

Which on conversion to Excel would look like:

@id	@type	rdfs:label	rdfs:comment	sameAs
_:myProp	myProp	This is my custom property I want to use in describing things

TODO: Make @context entries for additional Property items automatically show up in the @context if not already defined - and force appropriate IDs (they must be either full http(s) URIs or blank node @ids and start with a lowercase letter).

Implementing Workbook to RO-Crate

When converting from a worksheet to a JSON-LD item the process is to:

• Convert the Root DataSet Workseet to an RO Crate Root Dataset - with the necessary @id and other

• Convert each @type sheet to an item by mapping column names to properties; each row becomes an item in the RO-Crate graph.

• Index the crate by @id and by name

• For every item in the @graph array:

• Normalise the item's @id: - If the @id is a URL, or the item is, in RO-Crate terms a Data Entity - that has @type File or Dataset or it starts with # then leave it as-is. - else prepend # to the @id

• for each value of a property that starts and ends with double quotes: - If the value matches a known @id then add a reference {"@id": "#someid"} - else if the value (without quotes) matches a known name add a reference to the item with that name - else if the value (without quotes) does not start with # prepend # and see if it matches a known @id - if it does add it as a reference