cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/7d950cf29295405fff0357a2b33b32a5
title: Social data from "Ecology, The Economy of Nature" (10th edition, 2025): Addressing diversity in undergraduate ecology textbooks"

description: This data package includes social data on the diversity and composition of people depicted in the text, photographs, and illustrations of the ecology textbook Ecology: The Economy of Nature (10th ed.) by Relyea (2025). The data were utilized in an article published in Frontiers in Ecology and the Environment, which explores the use of undergraduate textbooks as tools for building a diverse community of ecologists (Richards et al., 2025).
 
 
 Relyea, R. (2025). Ecology: The Economy of Nature (10th ed.). W.H. Freeman. ISBN 9781319524838
 
 
 Richards JH, Charton KT, McFarlane SL, Widell AF, Haddad NM, Wyer MB, Damschen EI (2025) Rethinking the undergraduate textbook as a tool to build a diverse community of ecologists. Frontiers in Ecology and the Environment 23(3), e2819, https://doi.org/10.1002/fee.2819.
DOI: 10.15468/dl.xgzqwz
title: Occurrence Download

description: A dataset containing 2838504 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Anciennes données CBNBP-Anciennes données Flora CBNBP"
 ]
}

 The dataset includes 2838504 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002560-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufjjhj
title: Occurrence Download

description: A dataset containing 2828566 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BRERC species records from all years at full resolution excluding Notable Species within the last 10 years"
 ]
}

 The dataset includes 2828566 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002561-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14625266
title: A Proposal for a Data Governance Maturity Assessment Framework

description: Context: In the digital age, Data Governance (DG) has emerged as a critical priority for organizations, driven by the exponential growth of data and the increasing complexity of regulatory frameworks, such as the General Data Protection Regulation (GDPR) and Brazil's LGPD. These regulations underscore the necessity of robust data governance strategies to ensure compliance, security, and quality in data management. To address these challenges, established frameworks provide foundational principles for effective data governance. Maturity models, such as the Stanford Data Governance Maturity Model, have gained widespread adoption in academia and industry, serving as essential tools for evaluating organizational practices and fostering continuous improvement in data governance initiatives. 

Objective: This study aims to propose a comprehensive framework for assessing data governance maturity. The proposed framework aims to support organizations in refining their data governance strategies and enhancing operational efficiency across diverse sectors, including public administration and private enterprises.

Method: This research is based on a Systematic Literature Review (SLR) conducted to identify key practices, existing frameworks, and data maturity models.

Results: The study identifies key frameworks, including the Stanford Data Governance Maturity Model and the Master Data Management Maturity Model, as foundational references. These frameworks provided material and structure that supported the development of the proposed data maturity framework. 

Conclusions: This research contributes to the field of data governance by presenting a practical and adaptable framework for assessing data governance maturity. The proposed model aims to establish data governance as an organisation's strategic enabler, enhancing decision-making through reliable and high-quality data aligned with organizational objectives.

 

Keywords: Data Governance, Data Maturity, Systematic Literature Review, Data Governance Framework, Data Quality

 

Available Resources

The following files are available for download and reference:



Overview of the SLR Process: A detailed description of the methodology, including research questions, inclusion/exclusion criteria, and quality assessment protocols.

Collected Articles and Selection Criteria: A spreadsheet documenting the collected studies and their evaluation against inclusion and exclusion criteria.

Quality Assessment Results: A spreadsheet with the quality assessment of the selected studies, based on predefined questions to ensure methodological rigor.

Data Extraction Results: A detailed spreadsheet capturing information extracted from the selected studies, including objectives, methods, and outcomes.
DOI: 10.5281/zenodo.14996848
title: Data Governance Maturity Models (DGM2): A Review and Framework Proposal

description: Context: In response to the exponential growth of data and increasingly regulatory requirements, such as the General Data Protection Regulation (GDPR) and Brazil’s General Data Protection Law (LGPD), Data Governance (DG) has become a strategic priority for organizations. These regulations underscore the importance of structured strategies to ensure compliance, data quality, and security.

Objective: This study presents an overview of DG maturity models and practical approaches to assess and enhance organizational capabilities. Based on the evidence gathered, it proposes a conceptual framework composed of six dimensions to support the evaluation and advancement of DG maturity.

Method: We carried out a Systematic Literature Review (SLR), focusing on DG maturity assessments, tools, and best practices from academy and industry. After the conduction of the SLR, 22 primary studies were selected. These studies were analyzed and synthesized to highlight main features of existing models, tools, and practices applied in organizational data governance.

Results: The findings highlight widely used maturity models and a range of practices—such as policy formalization, staff training, and iterative quality assessment—that support organizations in addressing challenges related to data integration, security, and strategic alignment. Building on this synthesis, the study introduces a six-dimensional framework to guide organizations in assessing current capabilities and implementing targeted improvements.

Conclusions: This work reinforces the significance of DG maturity models and emerging best practices in structuring governance initiatives. The proposed framework serves as a practical tool to support organizations in identifying gaps and enhancing their data governance capabilities in alignment with regulatory and strategic demands.

 

Keywords: Data Governance, Data Maturity, Systematic Literature Review, Data Governance Framework, Data Quality

 

Available Resources

The following files are available for download and reference:



Overview of the SLR Process: A detailed description of the methodology, including research questions, inclusion/exclusion criteria, and quality assessment protocols.

Collected Articles and Selection Criteria: A spreadsheet documenting the collected studies and their evaluation against inclusion and exclusion criteria.

Quality Assessment Results: A spreadsheet with the quality assessment of the selected studies, based on predefined questions to ensure methodological rigor.

Data Extraction Results: A detailed spreadsheet capturing information extracted from the selected studies, including objectives, methods, and outcomes.
DOI: 10.5281/zenodo.15232795
title: Data Governance Maturity Models: A Review and Framework Proposal

description: Context: In response to the exponential growth of data and increasingly regulatory requirements, such as the General Data Protection Regulation (GDPR) and Brazil’s General Data Protection Law (LGPD), Data Governance (DG) has become a strategic priority for organizations. These regulations underscore the importance of structured strategies to ensure compliance, data quality, and security.

Objective: This study presents an overview of DG maturity models and practical approaches to assess and enhance organizational capabilities. Based on the evidence gathered, it proposes a conceptual framework composed of six dimensions to support the evaluation and advancement of DG maturity.

Method: We carried out a Systematic Literature Review (SLR), focusing on DG maturity assessments, tools, and best practices from academy and industry. After the conduction of the SLR, 22 primary studies were selected. These studies were analyzed and synthesized to highlight main features of existing models, tools, and practices applied in organizational data governance.

Results: The findings highlight widely used maturity models and a range of practices—such as policy formalization, staff training, and iterative quality assessment—that support organizations in addressing challenges related to data integration, security, and strategic alignment. Building on this synthesis, the study introduces a six-dimensional framework to guide organizations in assessing current capabilities and implementing targeted improvements.

Conclusions: This work reinforces the significance of DG maturity models and emerging best practices in structuring governance initiatives. The proposed framework serves as a practical tool to support organizations in identifying gaps and enhancing their data governance capabilities in alignment with regulatory and strategic demands.

 

Keywords: Data Governance, Data Maturity, Systematic Literature Review, Data Governance Framework, Data Quality

 

Available Resources

The following files are available for download and reference:



Overview of the SLR Process: A detailed description of the methodology, including research questions, inclusion/exclusion criteria, and quality assessment protocols.

Collected Articles and Selection Criteria: A spreadsheet documenting the collected studies and their evaluation against inclusion and exclusion criteria.

Quality Assessment Results: A spreadsheet with the quality assessment of the selected studies, based on predefined questions to ensure methodological rigor.

Data Extraction Results: A detailed spreadsheet capturing information extracted from the selected studies, including objectives, methods, and outcomes.

Proposed Framework Construction: a spreadsheet that supported the development of this framework.
DOI: 10.15468/dl.ara7ut
title: Occurrence Download

description: A dataset containing 51293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((113.62235 -36.81874,169.89894 -36.81874,169.89894 -14.31874,113.62235 -14.31874,113.62235 -36.81874))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lantana camara L."
 ]
}

 The dataset includes 51293 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002563-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vb9a6r
title: Occurrence Download

description: A dataset containing 24007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Acris blanchardi Harper, 1947)"
 ]
}

 The dataset includes 24007 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002566-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4453a6
title: Occurrence Download

description: A dataset containing 24007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Acris blanchardi Harper, 1947)"
 ]
}

 The dataset includes 24007 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002565-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7ytpw
title: Occurrence Download

description: A dataset containing 24007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Acris blanchardi Harper, 1947)"
 ]
}

 The dataset includes 24007 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002573-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqx52u
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "Geometry POLYGON((124.46749 39.75619,132.49338 42.42713,131.84162 44.70946,129.97313 45.21794,127.386 43.99002,124.9426 42.17059,124.46749 39.75619))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelecaniformes"
 ]
}

 The dataset includes 67 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002574-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gc5pmh
title: Occurrence Download

description: A dataset containing 2235 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gopherus morafkai Murphy, Berry, Edwards, Leviton, Lathrop & Riedle, 2011"
 ]
}

 The dataset includes 2235 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002575-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fug5d3
title: Occurrence Download

description: A dataset containing 24007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Acris blanchardi Harper, 1947)"
 ]
}

 The dataset includes 24007 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002576-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sf66k5
title: Occurrence Download

description: A dataset containing 2605985 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Protocole d'inventaire de la flore vasculaire à l'échelle communale-Inventaire de la flore vasculaire par commune"
 ]
}

 The dataset includes 2605985 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002571-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ct64x
title: Occurrence Download

description: A dataset containing 2712345 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is First Bird Atlas"
 ]
}

 The dataset includes 2712345 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002567-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dupby
title: Occurrence Download

description: A dataset containing 2654662 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Banco de Datos de la Biodiversidad de la Comunitat Valenciana"
 ]
}

 The dataset includes 2654662 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002569-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uc4ca9
title: Occurrence Download

description: A dataset containing 24007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Acris blanchardi Harper, 1947)"
 ]
}

 The dataset includes 24007 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002577-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9m5yp7
title: Occurrence Download

description: A dataset containing 27589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Acris crepitans Baird, 1854)"
 ]
}

 The dataset includes 27589 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002578-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxj6km
title: Occurrence Download

description: A dataset containing 27589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Acris crepitans Baird, 1854)"
 ]
}

 The dataset includes 27589 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002582-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyryjm
title: Occurrence Download

description: A dataset containing 2592699 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pl@ntNet observations"
 ]
}

 The dataset includes 2592699 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002581-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxvm9b
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "Geometry POLYGON((124.46749 39.75619,132.49338 42.42713,131.84162 44.70946,129.97313 45.21794,127.386 43.99002,124.9426 42.17059,124.46749 39.75619))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Suliformes"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002583-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4h76p
title: Occurrence Download

description: A dataset containing 10275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Acris gryllus (LeConte, 1825))"
 ]
}

 The dataset includes 10275 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002584-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gc893q
title: Occurrence Download

description: A dataset containing 2473192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Year is 2010",
 "Month is January"
 ]
}

 The dataset includes 2473192 records from 567 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002568-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyq9tm
title: Occurrence Download

description: A dataset containing 2612820 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FLORIVON"
 ]
}

 The dataset includes 2612820 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002580-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ch9wx
title: Occurrence Download

description: A dataset containing 2593837 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2023 Contributions of Plant Specimen Data inside China"
 ]
}

 The dataset includes 2593837 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002579-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykgrw6
title: Occurrence Download

description: A dataset containing 2677530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Year is 2010",
 "Month is March"
 ]
}

 The dataset includes 2677530 records from 576 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002572-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m3s4745zgc.2
title: Tools for Soil Moisture Data Extraction from the SMAP Satellite

description: Application for extracting soil moisture data from the SMAP satellite at a specific coordinate, supporting multiple spatial resolutions (36 km and 9 km)
DOI: 10.15468/dl.y869w9
title: Occurrence Download

description: A dataset containing 1159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material citation, Specimen, Occurrence evidence)",
 "Continent is one of (South America, North America)",
 "Geometry POLYGON((-84.54019 25.03368,-94.19489 19.15857,-95.02244 1.59553,-90.60886 -50.75447,-73.50624 -59.11584,-37.64591 -57.37415,-19.16405 -14.7882,-32.40478 11.98951,-66.33417 23.52504,-84.54019 25.03368))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culex quinquefasciatus Say, 1823",
 "Year 2010-2025"
 ]
}

 The dataset includes 1159 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001778-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48339/2019-31-k9804p
title: Relations between students’ well-being and academic achievement: evidence from Swedish compulsory school

description: U98, U04