DOI: 10.5061/dryad.nzs7h44xr
title: Data for: Sustainable connectivity in a community repository

description: Identifiers of many kinds are the key to creating unambiguous and
 persistent connections between research objects and other items in the
 global research infrastructure (GRI). Many repositories are implementing
 mechanisms to collect and integrate these identifiers into their
 submission and record curation processes. This bodes well for a
 well-connected future, but many existing resources submitted in the past
 are missing these identifiers, thus missing the connections required for
 inclusion in the connected infrastructure. Re-curation of these metadata
 is required to make these connections. The Dryad Data Repository has
 existed since 2008 and has successfully re-curated the repository metadata
 several times, adding identifiers for research organizations, funders, and
 researchers. Understanding and quantifying these successes depends on
 measuring repository and identifier connectivity. Metrics are described
 and applied to the entire repository here. Identifiers for papers (DOIs)
 connected to datasets in Dryad have long been a critical part of the Dryad
 metadata creation and curation processes. Since 2019, the % of datasets
 with connected papers has decreased from 100% to less than 40%. This
 decrease has significant ramifications for the re-curation efforts
 described above as connected papers are an important source of metadata.
 In addition, missing connections to papers make understanding and re-using
 datasets more difficult. Connections between datasets and papers are many
 times difficult to make because of time lags between submission and
 publication, lack of clear mechanisms for citing datasets and other
 research objects from papers, changing focus of researchers, and other
 obstacles. The Dryad community of members, i.e. users, research
 institutions, publishers, and funders have vested interests in identifying
 these connections and critical roles in the curation and re-curation
 efforts. Their engagement will be critical in building on the successes
 Dryad has already achieved and ensuring sustainable connectivity in the
 future.
description: These data are Dryad metadata retrieved from
 https://datadryad.org and translated into csv files. There are two
 datasets:  <br>1.<strong> DryadJournalDataset
 </strong>was retrieved from Dryad using the ISSNs in the file
 DryadJournalDataset\_ISSNs.txt, although some had no data.  <br>2.
 <strong>DryadOrganizationDataset</strong> was retrieved from
 Dryad using the RORs in the file DryadOrganizationDataset\_RORs.txt,
 although some had no data. Each dataset includes four
 types of metadata: identifiers, funders, keywords, and related works, each
 in a separate comma (.csv) or tab (.tsv) delimited files. There are also
 Microsoft Excel files (.xlsx) for the identifier metadata and connectivity
 summaries for each dataset (*.html). The connectivity summaries include
 summaries of each parameter in all four data files with definitions,
 counts, unique counts, most frequent values, and completeness.
 These data formed the basis for an analysis of the connectivity
 of the Dryad repository for organizations, funders, and people.
description: # Data For: Sustainable Connectivity in a Community Repository ## GENERAL
 INFORMATION This readme.txt file was generated on 30231110 by Ted
 Habermann ### Title of Dataset Data For: Sustainable Connectivity in a
 Community Repository ### Author Information Principal Investigator Contact
 Information Name: Ted Habermann (0000-0003-3585-6733) Institution:
 Metadata Game Changers () Email:
 ORCID: 0000-0003-3585-6733 ### Date
 published or finalized for release: November 10, 2023 ## Date of data
 collection (single date, range, approximate date) May and June 2023 ###
 Information about funding sources that supported the collection of the
 data: National Science Foundation (Crossref Funder ID: 100000001) Award
 2134956. ### Overview of the data (abstract): These data are Dryad
 metadata retrieved from and translated into
 csv files. There are two datasets: 1. **DryadJournalDataset** was
 retrieved from Dryad using the ISSNs in the file
 DryadJournalDataset_ISSNs.txt, although some had no data. 2.
 **DryadOrganizationDataset** was retrieved from Dryad using the RORs in
 the file DryadOrganizationDataset_RORs.txt, although some had no data.
 Each dataset includes four types of metadata: identifiers, funders,
 keywords, and related works, each in a separate comma (.csv) or tab (.tsv)
 delimited files. There are also Microsoft Excel files (.xlsx) for the
 identifier metadata and connectivity summaries for each dataset (*.html).
 The connectivity summaries include summaries of each parameter in all four
 data files with definitions, counts, unique counts, most frequent values,
 and completeness. These data formed the basis for an analysis of the
 connectivity of the Dryad repository for organizations, funders, and
 people. | Size | FileName | | --------: |
 :--------------------------------------------------------- | | 90541505 |
 DryadJournalDataset\_Identifiers\_\_20230520\_12.csv | | 9017051 |
 DryadJournalDataset\_funders\_\_20230520\_12.tsv | | 29108477 |
 DryadJournalDataset\_keywords\_\_20230520\_12.tsv | | 8833842 |
 DryadJournalDataset\_relatedWorks\_\_20230520\_12.tsv | | | | | 18260935 |
 DryadOrganizationDataset\_funders\_\_20230601\_12.tsv | | 240128730 |
 DryadOrganizationDataset\_identifiers\_\_20230601\_12.tsv | | 39600659 |
 DryadOrganizationDataset\_keywords\_\_20230601\_12.tsv | | 11520475 |
 DryadOrganizationDataset\_relatedWorks\_\_20230601\_12.tsv | | | | |
 40726143 | DryadJournalDataset\_identifiers\_\_20230520\_12.xlsx | |
 81894301 | DryadOrganizationDataset\_identifiers\_\_20230601\_12.xlsx | |
 | | | 842827 | DryadJournalDataset\_ConnectivitySummary.html | | 387551 |
 DryadOrganizationDataset\_ConnectivitySummary.html | ### Field Definitions
 ## SHARING/ACCESS INFORMATION ### Licenses/restrictions placed on the
 data: Creative Commons Public Domain License (CC0) ### Links to
 publications that cite or use the data: TBD ### Was data derived from
 another source? No ## DATA & FILE OVERVIEW ### File List A.
 *Dataset_identifiers__YYYYMMDD_HH.*sv: Short description: Identifier
 metadata from Dryad for Dataset collected at YYYYMMDD_HH using the Dryad
 API. B. *Dataset_funders__YYYYMMDD_HH.*sv: Short description: Funder
 metadata from Dryad for Dataset collected at YYYYMMDD_HH using the Dryad
 API. C. *Dataset_keywords__YYYYMMDD_HH.*sv: Short description: Keyword
 metadata from Dryad for Dataset collected at YYYYMMDD_HH using the Dryad
 API. D. *Dataset_relatedWorks__YYYYMMDD_HH.*sv: Short description: Related
 work metadata from Dryad for Dataset collected at YYYYMMDD_HH using the
 Dryad API. E. *Dataset_identifiers__YYYYMMDD_HH.xlsx: Short description:
 Excel spreadsheet with identifier metadata from Dryad for Dataset
 collected at YYYYMMDD_HH using the Dryad API. F.
 *Dataset_ConnectivitySummary.html: Short description: Connectivity summary
 for Dataset. G. summarizeConnectivity.ipynb Short description: Python
 notebook with code for creating connectivity summaries and plots. ###
 Relationship between files: All files with the same dataset name make up a
 dataset. The .*sv are original metadata extracted from Dryad. ##
 METHODOLOGICAL INFORMATION ### Description of methods used for
 collection/generation of data: Most of the analysis is simply extracting
 and comparing counts of various metadata elements. ## DATA-SPECIFIC
 INFORMATION See connectivity summaries (*ConnectivitySummary.html) for a
 list of parameters in each file and summaries of their values. ###
 Identifier Metadata The identifier metadata datasets include the following
 fields: | Field | Definition | | :------------------------------- |
 :--------------------------------------------------------------------------------------------------- | | DOI | Digital object identifier for the dataset | | title | Title for the dataset | | datePublished | Date dataset published | | relatedPublicationISSN | International Standard Serial Number for journal with related publication | | primary\_article | Digital object identifier for primary article | | primary\_article\_type | relation type for primary article \[primary\_article, article] | | primary\_article\_source | Source of primary article (metadata for primary articles from Dryad metadata) | | primary\_article\_timestamp | Date and hour of primary article identification (typically metadata retrieval) format:YYYYMMDD\_HH | | partyName | Author name | | contributorType | Author role from DataCite (creator or contributor) | | partyIdentifier | Author identifier | | partyIdentifierType | Type of author identifier (typically ORCID) | | partyIdentifier\_source | Source of author identifier (metadata) | | partyIdentifier\_timestamp | Date and hour of primary article identification (typically metadata retrieval) format:YYYYMMDD\_HH | | organization | Author affiliation | | affiliation\_source | Source of author affiliation | | affiliation\_timestamp | Date and hour of affiliation identification (typically metadata retrieval) format:YYYYMMDD\_HH | | affiliationIdentifier | Identifier for affiliation | | affiliationIdentifierType | Type of organizational identifier (typically ROR) | | affiliationIdentifier\_source | Source of organizational identifier (typically metadata) | | affiliationIdentifier\_timestamp | Date and hour of affiliation identifier retrieval (typically metadata retrieval) format:YYYYMMDD\_HH | ### Funder Metadata The funder metadata datasets include the following fields: | Field | Definition | | :--------------------- | :---------------------------------------------------------------------------------------- | | DOI | Digital object identifier for the dataset | | datePublished | Date dataset published | | relatedPublicationISSN | International Standard Serial Number for journal with related publication | | organization | Funder name | | identifier | Funder identifier | | identifierType | Funder identifier type (typically Crossref Funder ID) | | awardNumber | Funder award number | | funders\_source | Source of funder metadata (metadata if from Dryad) | | funders\_timestamp | Date and hour of funder identification (typically metadata retrieval) format:YYYYMMDD\_HH | ### Keyword Metadata The keyword metadata datasets include the following fields: | Field | Definition | | :--------------------- | :----------------------------------------------------------------------------------------- | | DOI | Digital object identifier for the dataset | | datePublished | Date dataset published | | relatedPublicationISSN | International Standard Serial Number for journal with related publication | | keyword | Subject keyword | | keywords\_source | Source of funder metadata (metadata if from Dryad) | | keywords\_timestamp | Date and hour of keyword identification (typically metadata retrieval) format:YYYYMMDD\_HH | ### Related Work Metadata The related metadata datasets include the following fields: | Field | Definition | | :---------------------- | :--------------------------------------------------------------------------------------------- | | DOI | Digital object identifier for the dataset | | datePublished | Date dataset published | | relatedPublicationISSN | International Standard Serial Number for journal with related publication | | relationship | The type of the relation between the dataset and the related work. | | identifier | The identifier of the related work. | | identifierType | Related identifier type (typically DOI) | | relatedWorks\_source | Source of related work metadata (metadata if from Dryad) | | relatedWorks\_timestamp | Date and hour of relatedWork identification (typically metadata retrieval) format:YYYYMMDD\_HH |