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https://github.com/ropenscilabs/deposits

R Client for access to multiple data repository services
https://github.com/ropenscilabs/deposits

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R Client for access to multiple data repository services

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README

        

---
title: "deposits"
output:
md_document:
variant: gfm

rmarkdown::html_vignette:
self_contained: no
---

# deposits

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The deposits R package is a universal client for depositing and accessing
research data in a variety of online deposition services. Currently supported
services are [zenodo](https://zenodo.org) and [figshare](https://figshare.com).
These two systems have fundamentally different interfaces ("API"s, or
Application Programming Interfaces), and access to these and indeed all
deposition services has traditionally been enabled through individual software
clients. The deposits package aims to be a universal client offering access to
a variety of deposition services, without users having to know any specific
details of the APIs for each service.

The deposits package works seamlessly with [the "frictionless" data
workflow](https://frictionlessdata.io/), to enable unified documentation of all
aspects of datasets in one place. Instructions for installing and setting up
the package are in the [installation
vignette](https://docs.ropensci.org/deposits/articles/install-setup.html). This
README gives a brief overview of package usage, with more detail in the
[introductory
vignette](https://docs.ropensci.org/deposits/articles/deposits.html). For those
who prefer to jump straight in to a workflow, there is also a deposits
[workflow vignette](https://docs.ropensci.org/deposits/articles/workflow.html)
demonstrating a full workflow from data generation and documentation to
publication.

## Data Repositories

The list of data repositories currently supported is accessible by the
`deposits_services()` function:

```{r services}
library (deposits)
deposits_services ()
```

The [`zenodo`](https://zenodo.org) "sandbox" environment offers an ideal
environment for testing the functionality of this package.

## The "frictionless" data workflow

Prior to describing the deposits workflow, it is useful to understand the
["frictionless" data workflow](https://frictionlessdata.io/), which provides a
standardised way to document the contents and structure of data files through a
separate metadata file. The deposits package links directly with [rOpenSci's
`frictionless` package](https://docs.ropensci.org/frictionless) for writing,
editing, and reading frictionless metadata files.

The deposits package nevertheless aims to make this integration as seamless
and painless as possible. No knowledge of the frictionless workflow is
necessary, and the deposits workflow should "just work" in many cases,
appropriately constructing frictionless metadata files and uploading them to
deposits services. It is of course also possible to use the deposits package
without frictionless metadata.

## The deposits workflow

We now provide a brief overview of the deposits workflow. A more complete
description is given in the [main package
vignette](https://docs.ropensci.org/deposits/articles/deposits.html), and
demonstrated step-by-step in [the workflow
vignette](https://docs.ropensci.org/deposits/articles/workflow.html). The
deposits package uses [the `R6` package](https://github.com/r-lib/R6) to
create [a
`depositsClient`](https://docs.ropensci.org/deposits/reference/depositsClient.html)
used to call all methods needed in a deposits workflow. A [separate
vignette](https://docs.ropensci.org/deposits/articles/deposits-R6.html)
describes the `R6` system for those unfamiliar with it.

A typical deposits workflow, and associated methods, involves the following
steps:

1. Create a new deposits client
2. Fill the client with metadata, either as part of Step 1 through using the
[`new()`
method](https://docs.ropensci.org/deposits/reference/depositsClient.html#method-new-),
or afterward by using the
[`deposit_fill_metadata()`](https://docs.ropensci.org/deposits/reference/depositsClient.html#method-depositsClient-deposit_fill_metadata)
method;
3. Create a new deposit on the nominated service using the
[`deposit_new()`](https://docs.ropensci.org/deposits/reference/depositsClient.html#method-deposit-new-)
method; and
4. Upload files for the deposit using the
[`deposit_upload_file()`](https://docs.ropensci.org/deposits/reference/depositsClient.html#method-deposit-upload-file-)
method.

The following sections describe each of these steps in more detail.

### Step 1: Create a new client

All deposits operations start with a client constructed with the `new()`
function:

```{r client-new, eval = FALSE}
cli <- depositsClient$new (service = "zenodo", sandbox = TRUE)
print (cli)
#>
#> deposits service : zenodo
#> sandbox: TRUE
#> url_base : https://sandbox.zenodo.org/api/
#> Current deposits :
#>
#> hostdata :
#> metadata :
```

The upper section of information shown by calling `print (cli)` to print the
client describes general information, and aspects of the specified service, and
the profile of the user (identified through the locally-stored token, as
described in [the "Installation and Setup"
vignette](https://docs.ropensci.org/deposits/articles/install-setup.html#setup-api-tokens)).
The lower section contains information on the current deposit held within the
client. A new client initially contains no information on a deposit, and so
these lower sections are empty.

The code above demonstrates how `R6` objects work, through calling "methods" or
functions on the main "object" via the `$` symbol. The "new" method must be
called on [a `depositsClient`
object](https://docs.ropensci.org/deposits/reference/depositsClient.html). From
that point on, all other methods are called on that object itself. For example,
the following calls lists all methods implemented by the client:

```{r deposits-methods, eval = FALSE}
cli$deposits_methods ()
#> List of methods for a deposits client:
#>
#> - deposit_add_resource
#> - deposit_delete
#> - deposit_delete_file
#> - deposit_download_file
#> - deposit_embargo
#> - deposit_fill_metadata
#> - deposit_new
#> - deposit_prereserve_doi
#> - deposit_publish
#> - deposit_retrieve
#> - deposit_service
#> - deposit_update
#> - deposit_upload_file
#> - deposit_version
#> - deposits_list
#> - deposits_methods
#> - deposits_search
#>
#> see `?depositsClient` for full details of all methods.
```

All of the methods listed by
[`cli$deposits_methods()`](thos://docs.ropensci.org/deposits/reference/depositsClient.html#method-deposits-methods-)
then work similarly, by calling `cli$()`. Note that R6
functions are called directly on the client, with the object itself (`cli`)
updated by the call. For example, [the `deposit_fill_metadata()`
method](https://docs.ropensci.org/deposits/reference/depositsClient.html#method-deposit-fill-metadata-)
described below can be used to specify metadata for a deposit. This works by
simply calling,

```{r client-fill-return, eval = FALSE}
cli$deposit_fill_metadata (metadata)
```
The `cli` object is then updated by this call, without needing to be assigned
to a return value (so there is no need to use `cli <- cli$`).

### Step 2: Fill client with metadata

The *metadata* of a deposit describe the nature and properties of the data
being deposited. A deposit is first created by uploading metadata to a deposits
service; only then can actual data be uploaded and associated with the deposit
described by the metadata. The deposits package works with two main types of
metadata:

1. Metadata which describe a deposit and associated properties, such as author
names and affiliations, deposit titles and descriptions, dates, keywords,
links to other deposits or publications, and many other terms.
2. Frictionless metadata which describe the actual contents of the data to be
deposited. These kinds of metadata are (optionally) generated and (always)
handled here by [the `frictionless`
package](https://docs.ropensci.org/frictionless).

(Note that there are actually three main types of metadata, as described in the
[introductory
vignette](https://docs.ropensci.org/deposits/articles/deposits.html), but the
third may generally be ignored, and is intended as "read-only" metadata
provided by host services.) As explained at the outset, the deposits package
can be used without knowing or understanding anything about [the `frictionless`
package](https://docs.ropensci.org/frictionless) or [frictionless
workflows](https://frictionlessdata.io). Most of this present section therefore
concerns the first of these two kinds of metadata, referred to throughout all
package documentation as "metadata". Brief demonstrations are also given of the
second kind, to illustrate how the frictionless workflow integrates with the
general deposits workflow. These kinds of metadata are always referred to as
"frictionless metadata."

A separate vignette describes in detail [how to specify and include metadata in
a deposits
client](https://docs.ropensci.org/deposits/articles/metadata.html). This
section briefly demonstrates the process. An example of deposits metadata is:

```{r metadata}
metadata <- list (
title = "New Title",
abstract = "This is the abstract",
creator = list (list (name = "A. Person"), list (name = "B. Person"))
)
```

The "creator" field is a list-of-lists, to allow individual creator entries to
have multiple fields in addition to "name". These data can be used in
construction of a new client by passing a `metadata` argument:

```{r client-new-metadata, eval = FALSE}
cli <- depositsClient$new (
service = "zenodo",
sandbox = TRUE,
metadata = metadata
)
print (cli)
#>
#> deposits service : zenodo
#> sandbox: TRUE
#> url_base : https://sandbox.zenodo.org/api/
#> Current deposits :
#>
#> hostdata :
#> metadata : 3 terms (see 'metadata' element for details)
```

The "metadata" component of the client now holds 3 terms. Equivalently,
metadata can be added to an existing client with [the `deposit_fill_metadata()`
function](https://docs.ropensci.org/deposits/reference/depositsClient.html#method-depositsClient-deposit_fill_metadata):

```{r client-fill-metadata, eval = FALSE}
cli <- depositsClient$new (service = "zenodo", sandbox = TRUE)
cli$deposit_fill_metadata (metadata)
```

At that stage, the metadata are only associated with the local client. The
following section describes how to use those metadata to initiate a deposit on
an external service.

### Step 3: Create a new deposit

The metadata filled with the above steps can then be used to initiate a new
deposit on the associated server using [the `deposit_new()`
method](https://docs.ropensci.org/deposits/reference/depositsClient.html#method-deposit-new-).

```{r deposit_new, eval = FALSE}
cli$deposit_new ()
#> ID of new deposit : 1065666
print (cli)
#>
#> deposits service : zenodo
#> sandbox: TRUE
#> url_base : https://sandbox.zenodo.org/api/
#> Current deposits :
#>
#> url_service : https://sandbox.zenodo.org/deposit/1065666
#> deposit id : 1065666
#> hostdata : list with 14 elements
#> metadata : 4 terms (see 'metadata' element for details)
```

The client now includes several additional elements, notably a "deposit id"
(stored in `cli$id`) giving the unique identifier for the new deposit, and a
"hostdata" item with, in this case, 14 elements as specified by the host
service. The `url_service` is the URL for the newly-created deposit. (Viewing
in a web browser will require logging in for all private and sandbox deposits).
The "metadata" item also includes an additional "identifier" element containing
a pre-reserved DOI provided by the deposits service.

### Step 4: Upload (or download) files

A deposit is really about data, not just metadata. Data can be uploaded to a deposit
with [the `deposit_upload_file()`
method](https://docs.ropensci.org/deposits/reference/depositsClient.html#method-deposit-upload-file-):

```{r deposit_upload, eval = FALSE}
cli$deposit_upload_file (path = "//my-data.dat")
```

Details of files associated with deposits are stored in a `data.frame` stored
as part of the "hostdata" of a deposits client, in the `cli$hostdata$files`
item. Prior to uploading, `cli$hostdata$files` will be empty, but after
uploading it will be a `data.frame` including one row with an item whose
"filename" will be "my-data.dat".

```{r uploaded-files, eval = FALSE}
cli$hostdata$files
#> checksum filename filesize
#> 1 5955bb96a8fee3bc89549bde9ef9b470 my-data.dat 829
#> id
#> 1 618ae9b9-af48-4b86-aa37-7b4e767dccb7
#> links.download
#> 1 https://sandbox.zenodo.org/api/files//my-data.dat
#> links.self
#> 1 https://sandbox.zenodo.org/api/deposit/depositions/1065666/files/
```

The `deposit_download_file()` function does the reverse:

```{r deposit_download, eval = FALSE}
cli$deposit_download_file ("my-data.dat")
#> '///my-data.dat'
```

Files are by default downloaded to the current working directory, or elsewhere
specified by an additional `path` parameter. (Note that this method returns the
full local path to the downloaded file, unlike most methods for deposit
clients, which invisibly return an updated version of the client.)

## Code of Conduct

Please note that this package is released with a [Contributor Code of
Conduct](https://ropensci.org/code-of-conduct/). By contributing to this
project, you agree to abide by its terms.

## Contributors

All contributions to this project are gratefully acknowledged using the [`allcontributors` package](https://github.com/ropenscilabs/allcontributors) following the [all-contributors](https://allcontributors.org) specification. Contributions of any kind are welcome!

### Code





mpadge

### Issues





collinschwantes





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