Qualidade dos dados na web
revisão integrativa sobre diretrizes para publicação
Palavras-chave:
Boas práticas, Publicação de dados na Web, Linked Open Data, Qualidade de dadosResumo
O aumento exponencial de dados publicados e a diversidade de sistemas requerem adoção de boas práticas para alcançarem índices de qualidade que possibilitem a descoberta, o acesso e o reuso. Para identificar as boas práticas utilizou-se a revisão integrativa assim como procedimentos da metodologia ProKnow-C. Após a aplicação dos procedimentos do ProKnow-C aos documentos recuperados nas bases de dados Web of Science, Scopus e Library, Information Science & Technology Abstracts foi realizada a análise de 31 itens. Essa análise permitiu observar que nos últimos 20 anos as diretrizes para publicação de dados governamentais abertos tiveram grande impacto na implementação do modelo Linked Data em diversos domínios e atualmente os princípios FAIR e as Data on the Web Best Practices são as mais destacadas na literatura. Essas diretrizes apresentam orientações em relação a vários aspectos para publicação de dados de forma a contribuir para a otimização da qualidade, independente do contexto que são aplicadas. Já os princípios CARE e FACT, que embora não tenham sido formulados com o mesmo objetivo do FAIR e das Best Practices representam grandes desafios para os cientistas da informação e da tecnologia no que se refere à ética, responsabilidade, confidencialidade, imparcialidade, segurança e transparência dos dados.
Downloads
Referências
-STAR OPEN DATA. [s.l.]: 5-star open data, 2015. Disponível em: http://5stardata.info/en/. Acesso em: 19 dez. 2021.
ARZBERGER, P. et al. Promoting access to public research data for scientific, economic, and social development. Data Science Journal, [s.l.], v. 3, [s.n.], p. 135–152, 2004. DOI https://doi.org/10.2481/dsj.3.135.
ATTARD, J. et al. A systematic review of open government data initiatives. Government Information Quarterly, [s.l.], v. 32, n. 4, p. 399–418, 2015. DOI https://doi.org/10.1016/j.giq.2015.07.006.
AUSTIN, C. et al. Key components of data publishing: using current best practices to develop a reference model for data publishing. International Journal on Digital Libraries, [s.l.], v. 18, n. 2, p. 77–92, jun. 2017. DOI 10.1007/s00799-016-0178-2.
BAHIM, C. et al. The FAIR data maturity model: An approach to harmonise FAIR assessments. Data Science Journal, [s.l.], v. 19, n. 1, p. 1-7, 2020. DOI 10.5334/DSJ-2020-041.
BATINI, C.; SCANNAPIECA, M. Introduction to Data Quality. In.: BATINI, C.; SCANNAPIECA, M. (ed.). Data quality: concepts, methodologies and techniques. data-centric systems and applications. Berlin, Heidelberg: Springer, 2006. p. 1–18. DOI https://doi.org/10.1007/3-540-33173-5_1.
BENNETT, D.; HARVEY, A. Publishing Open Government Data. [s.l.]: W3C Working Draft, 2009. Disponível em: https://www.w3.org/TR/gov-data/. Acesso em: 17 dez. 2021.
BERNERS-LEE, T. Linked Data: design issues. [s.l.]: [s.n.], 2006. Disponível em: https://www.w3.org/DesignIssues/LinkedData.html. Acesso em: 17 dez. 2021.
BERNERS-LEE, T. 5 Star Linked Data: Government Linked Data. [s.l.]: [s.n.], 2013. Disponível em: https://www.w3.org/2011/gld/wiki/5_Star_Linked_Data. Acesso em: 17 dez. 2021.
BIZER, C. et al. Linked data on the web (LDOW2008). In: WWW '08: 17th INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 8., 2008, Beijing. Proceedings… New York (NY): Association for Computing Machinery, 2008. DOI https://doi.org/10.1145/1367497.1367760
BIZER, C.; HEATH, T.; BERNERS-LEE, T. Linked data: principles and state of the art. In: WWW '08: 17th INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 8., 2008, Beijing. Proceedings… New York (NY): Association for Computing Machinery, 2008. Disponível em: https://www.w3.org/2008/Talks/WWW2008-W3CTrack-LOD.pdf. Acesso em: 19 dez. 2021.
BIZER, C.; HEATH, T.; BERNERS-LEE, T. Linked data: the story so far. International Journal of Semantic Web Information Systems, [s.l.], [s.n.], 2011. Disponível em: http://tomheath.com/papers/bizer-heath-berners-lee-ijswis-linked-data.pdf. Acesso em: 15 dez. 2021.
BORGMAN, C. L. The conundrum of sharing research data. Journal of the American Society for Information Science and Technology, v. 63, n. 6, p. 1059–1078, 2012. DOI https://doi.org/10.1002/asi.22634.
BORGMAN, C. L. Big data, little data, no data: scholarship in the networked world. [s.l.]: MIT press, 2017.
BOTELHO, L. L. R.; CUNHA, C. J. C. de A.; MACEDO, M. O método da revisão integrativa nos estudos organizacionais. Gestão e sociedade, v. 5, n. 11, p. 121–136, 2011. DOI https://doi.org/10.21171/ges.v5i11.1220.
CANDELA, L. et al. Data journals: a survey. Journal of the Association For Information Science and Technology, [s.l.], v. 66, n. 9, p. 1747–1762, set. 2015. DOI 10.1002/asi.23358.
CARROLL, S. R. et al. The CARE Principles for indigenous data governance. Data Science Journal, [s.l.], v. 19, n. 43, p. 1–12, 2020. DOI https://doi.org/10.5334/dsj-2020-0432020.
CARROLL, S. et al. Operationalizing the CARE and FAIR Principles for Indigenous data futures. Scientific Data, [s.l.], v. 8, n. 1, 16 abr. 2021. DOI 10.1038/s41597-021-00892-0.
CHAVAN, V.; PENEV, L. The data paper: a mechanism to incentivize data publishing in biodiversity science. BMC Bioinformatics, [s.l.], v. 12, n. 15, p. S2, 15 dez. 2011. Disponível em: http://www.biomedcentral.com/1471-2105/12/S15/S2. Acesso em: 19 dez. 2021.
CHIGNARD, S. A brief history of Open Data. [s.l.]: Paris Tech Review, 2013. Disponível em: http://parisinnovationreview.com/articles-en/a-brief-history-of-open-data. Acesso em: 18 dez. 2021.
CHURI, P. P.; PAWAR, A. V. A systematic review on privacy preserving data
publishing techniques. Journal of Engineering Science & Technology Review, [s.l.], v. 12, n. 6, 2019. DOI 10.25103/jestr.126.03.
DALY, A.; MANN, M.; DEVITT, S. K. Good data: theory on demand. Amsterdam: Institute of Network Cultures, 2019. Disponível em: https://eprints.qut.edu.au/ 125605/1/Good_Data_book.pdf. Acesso em: 17 dez. 2021.
DEKKER, R. Social data: Cessda best practices. Data Intelligence, [s.l.], v. 2, n. 1–2, p. 220–229, 2020. DOI 10.1162/dint_a_00044.
DEPPE, A. FAIR, CARE und mehr: prinzipien für einen verantwortungsvollen Umgang mit Forschungsdaten. In.: Matthias Schulze (Hrsg.). Historisches Erbe und zeitgemäße Informationsinfrastrukturen: bibliotheken am Anfang des 21. Jahrhunderts. Kassel: Kassel University Press, 2020. DOI 10.17170/kobra-202010131934-299.
DERILINX, D. L.; LÓSCIO, B. F.; ARCHER, P. Data on the web best practices use cases and requirements. [s.l.]: W3C, 2015. Disponível em: http://www.w3.org/ TR/2015/ NOTE-dwbp-ucr-20150224/. Acesso em: 17 dez. 2021.
DEVARAJU, A. et al. FAIRSFAIR data object assessment metrics. Zenodo, 2020. DOI 10.5281/zenodo.408121.
DEVRIENDT, T.; SHABANI, M.; BORRY, P. Data sharing in biomedical sciences: a systematic review of incentives. Biopreservation and Biobanking, v. 19, n. 3, p. 219–227, 2021. DOI 10.1089/bio.2020.0037.
DIRETRIZ. In.: INFOPÉDIA. [s.l.]: Dicionário Porto Editora, 2023. Disponível em: https://www.infopedia.pt/dicionarios/lingua-portuguesa/diretrizes. Acesso em: 2 abr. 2022.
DOUGLASS, K. et al. Managing scientific data as public assets: data sharing practices and policies among full-time government employees. Journal of the Association for Information Science and Technology, [s.l.], v. 65, n. 2, p. 251–262, 2014. DOI https://doi.org/10.1002/asi.22988.
ELGER, K. et al. Open research data, data portals and data publication–an introduction to the data curation landscape. Polarforschung, [s.l.], v. 85, n. 2, p. 119–133, 2016. DOI 10.2312/polfor.2016.009.
ENSSLIN, S. R. et al. Processo de mapeamento das publicações científicas de um tema: portfólio bibliográfico e análise bibliométrica sobre avaliação de desempenho de cooperativas de produção agropecuária. Revista de Economia e Sociologia Rural, [s.l.], v. 52, [s.n.], p. 587–608, 2014. DOI 10.22004/ag.econ.211729.
ESPER, A. J. F.; CUNHA, C. J. C de A. Liderança autêntica: uma revisão integrativa. Navus-Revista de Gestão e Tecnologia, [s.l.], v. 5, n. 2, p. 60–72, 2015. DOI 10.18815/navus.v5i2.254.
EUROPEAN COMISSION. Open data portals: shaping Europe’s digital future. [s.l.]: European Comission, 2022. Disponível em: https://digital-strategy.ec.europa.eu/en/policies/open-data-portals. Acesso em: 15 jan. 2022.
FEITOSA, D. et al. A systematic review on the use of best practices for publishing linked data. Online Information Review, 2018. DOI 10.1108/OIR-11-2016-0322.
GAMA, K.; LÓSCIO, B. F. Towards ecosystems based on open data as a service. ICEIS (2), [s.l.], v. 10, [s.n.], p. 0004974506590664, 2014.
GBIF SECRETARIAT; IAIA. Best practices for publishing biodiversity data from environmental impact assessments. Copenhagen: GBIF Secretariat. 2020. DOI https://doi.org/10.35035/doc-5xdm-8762
GIL-GARCIA, J. R.; GASCO-HERNANDEZ, M.; PARDO, T. A. Beyond transparency, participation, and collaboration? A reflection on the dimensions of open government. Public Performance & Management Review, [s.l.], v. 43, n. 3, p. 483–502, 2020. DOI https://doi.org/10.1080/15309576.2020.1734726.
GLOBAL BIODIVERSITY INFORMATION FACILITY. Data papers. Denmark: Global Biodiversity Information Facility, [ca. 2023]. Disponível em: https://www.gbif.org/data-papers. Acesso em: 15 dez. 2021.
GOODMAN, A. et al. Ten simple rules for the care and feeding of scientific data. PLOS Computational Biology, [s.l.], v. 10, n. 4, p. e1003542, 24 abr. 2014. DOI https://doi.org/10.1371/journal.pcbi.1003542.
HASNAIN, A.; REBHOLZ-SCHUHMANN, D. Assessing FAIR data principles against the 5-star open data principles. In.: THE SEMANTIC WEB: ESWC 2018 SATELLITE EVENTS, 2018, Greece. Proceedings... Greece: Springer, 2018. DOI 10.1007/978-3-319-98192-5_60.
HEIDORN, P. B. Shedding light on the dark data in the long tail of science.
Library Trends, [s.l.], v. 57, n. 2, p. 280–299, 2008. DOI 10.1353/lib.0.0036.
HELLIWELL, J. R. FACT and FAIR with Big Data allows objectivity in science: the
view of crystallography. Structural Dynamics, [s.l.], v. 6, n. 5, 2019. DOI 10.1063/1.5124439.
HYLAND, B.; ATEMEZING, G.; VILLAZON-TERRAZAS, B. Best practices for publishing linked data. [s.l.]: W3C, 2014. Disponível em: http://www.w3.org/TR/2014/NOTE-ld-bp-20140109/. Acesso em: 15 dez. 2021.
HYLAND, B.; WOOD, D. The joy of data: a cookbook for publishing linked government data on the web. In.: WOOD, D. Linking government data. [s.l.]: Springer, 2011. p. 3–26. DOI 10.1007/978-1-4614-1767-5_1.
INTERNATIONAL ORGANIZATION FOR STANDARDIZATION [ISO]. ISO 8000-2:2020 (en). Data quality – Part 2: Vocabulary. Disponível em: https://www.iso.org/obp/ui/#iso:std:iso:8000:-2:ed-4:v1:en. Acesso em: nov. 2021.
JAYAWARDENE, V.; SADIQ, S.; INDULSKA, M. An analysis of data quality dimensions. ITEE Technical Report. Queensland: University of Queesland, 2015. Disponível em: https://espace.library.uq.edu.au/view/UQ:312314. Acesso em: 20 jan. 2022.
KLUMP, J. et al. Data publication in the open access initiative. Data Science Journal, [s.l.], v. 5, p. 79–83, 2006. DOI 10.2481/dsj.5.79
KOESTEN, L. et al. Dataset reuse: translating principles to practice. Patterns, [s.l.], v. 1, n. 8, 2020. Disponível em: https://doi.org/10.1016/j.patter.2020.100136. Acesso em: 16 jan. 2022.
KUČERA, J. et al. Methodologies and best practices for open data publication. In.: NECASKY M.; MORAVEC P.; POKORNY J. (ed.). CEUR Workshop Proc. Proceedings... CEUR-WS, 2015. Disponível em: http://ceur-ws.org/Vol-1343/paper5.pdf. Acesso em: 15 dez. 2021.
LACERDA, R. T. DE O.; ENSSLIN, L.; ENSSLIN, S. R. Uma análise bibliométrica da literatura sobre estratégia e avaliação de desempenho. Gestão & Produção, [s.l.], v. 19, p. 59–78, 2012. DOI https://doi.org/10.1590/S0104-530X2012000100005.
LEE, D.; CYGANIAK, R.; DECKER, S. Open data Ireland: best practice handbook. [s.l.]: [s.n.], 2014. Disponível em: https://data.gov.ie/uploads/page_images/2019-04-24-104746.825980Open-Data-Publication-Handbook.pdf. Acesso em: 15 dez. 2021.
LÓSCIO, B. F.; BURLE, C.; CALEGARI, N. Data on the web best practices. [s.l.]: W3C, 2017. Disponível em: https://www.w3.org/TR/2016/PR-dwbp-20161215/. Acesso em: 15 dez. 2021.
LÓSCIO, B. F.; BURLE, C.; CALEGARI, N. Data on the web best practices. [s.l.]: W3C, 2016. Disponível em: https://www.w3.org/TR/dwbp/. Acesso em: 15 dez. 2021.
LÓSCIO, B. F.; BURLE, C.; CALEGARI, N. Implementation of the Best Practices for Data on the Web in Brazil and Costa Rica. In.: WWW '19: THE 2019 WORLD WIDE WEB CONFERENCE, 19., 2019, San Francisco. Proceedings... New York (NY): Association for Computing Machinery, 2019. DOI 10.1145/3308560.3316463
LÓSCIO, B. F.; OLIVEIRA, M. I. S.; BITTENCOURT, I. I. Publicação e consumo de dados na Web. In.: HARA, C. S.; PORTO, F.; OGASAWARA, E. (ed.). Tópicos em gerenciamento de dados e informações 2015. Petropólis: Laboratório Nacional de Computação Científica, 2015. DOI 10.1145/3308560.3316463
LOVETT, R. et al. Good data practices for Indigenous data sovereignty and governance. In.: DALY, A.; DEVITT, S. K.; MANN, M. (ed.). Good data: theory on demand. Amsterdam: Institute of Network Cultures, 2019. p. 26–36. Disponível em: https://eprints.qut.edu.au/125605/. Acesso em: 19 dez. 2021.
MALAMUD, C. et al. The 8 Principles of Open Government Data. Open Government Working Group. 2013. Disponível em: http://www.opengovdata. org/home/8principles. Acesso em: 15 dez. 2021.
MARCIAL, L. H.; HEMMINGER, B. M. Scientific data repositories on the Web: An initial survey. Journal of the American Society for Information Science and Technology, [s.l.], v. 61, n. 10, p. 2029–2048, out. 2010. https://doi.org/10.1002/asi.21339.
MENDES, K. D. S.; SILVEIRA, R. C. de C. P.; GALVÃO, C. M. Revisão integrativa: método de pesquisa para a incorporação de evidências na saúde e na enfermagem. Texto & contexto-enfermagem, [s.l.], v. 17, p. 758–764, 2008. DOI https://doi.org/10.1590/S0104-07072008000400018.
MONS, B. et al. Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud. Information Services & Use, [s.l.], v. 37, n. 1, p. 49–56, 2017. DOI 10.3233/ISU-170824.
MONS, B. et al. The FAIR principles: first generation implementation choices and challengesData Intelligence. Data Intelligence, [s.l.], v. 2, n. 1-2, p. 1-9, 2020. DOI https://doi.org/10.1162/dint_e_00023.
OLIVEIRA, L. E. R. A.; OLIVEIRA, M. I. S.; LÓSCIO, B. F. Um Survey sobre soluções para publicações ao de dados na Web sob a perspectiva das boas práticas do W3. 32nd SBBD, 32., 2017, Uberlândia. Anais… Uberlândia: [s.n.], 2017. Disponível em: https://sbbd.org.br/2017/wp-content/uploads/sites/3/2018/02/p148-159.pdf. Acesso em: 18 dez. 2021.
PASTOR-SÁNCHEZ, J.-A. Quince años de web semántica: de las tecnologías a las buenas prácticas. Anuario ThinkEPI, [s.l.], v. 10, [s.n.], p. 264–268, 2016. DOI https://doi.org/10.3145/thinkepi.2016.58.
PENEV, L. et al. Strategies and guidelines for scholarly publishing of biodiversity data. Research Ideas and Outcomes, [s.l.], v. 3, [s.n.], p. e12431, 2017. DOI https://doi.org/10.3897/rio.3.e12431.
PENTEADO, B. E.; MALDONADO, J. C.; ISOTANI, S. Methodologies for publishing linked open government data on the web: a systematic mapping and a unified process model. Semantic Web Journal, [s.l.], [s.n.], [s.n.], 2020. Disponível em: http://www.semantic-web-journal.net/content/methodologies-publishing-linked-open-government-data-web-systematic-mapping-and-unified. Acesso em: dez. 2021.
PEREZ-LUQUE, A.; ROS-CANDEIRA, A. Sharing data in Ecology: how to add more value to data. Ecosistemas, [s.l.], v. 28, n. 3, p. 150–159, set. 2019. DOI 10.7818/ECOS.1838
PILAT, D.; FUKASAKU, Y. OECD principles and guidelines for access to research data from public funding. Data Science Journal, [s.l.], v. 6, p. OD4–OD11, 2007.
POMMIER, C. et al. Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS. Plant Phenomics, [s.l.], v. 2019, [s.n.], 2019. DOI https://spj.science.org/doi/10.34133/2019/1671403.
PRICE, R.; SHANKS, G. A Semiotic information quality framework: development and comparative analysis. Journal of Information Technology, [s.l.], v. 20, p. 658–672, jun. 2005. DOI 10.1057/palgrave.jit.2000038.
RADULOVIC, F. et al. Guidelines for linked data generation and publication: an example in building energy consumption. Automation in Construction, [s.l.], v. 57, p. 178–187, 2015. DOI 10.1016/j.autcon.2015.04.002.
RAINIE, S. C. et al. Indigenous data sovereignty. Cape Town: African Minds and International Development Research Centre, 2019. Disponível em: https://press-files.anu.edu.au/downloads/press/n2140/pdf/book.pdf. Acesso em: 19 dez. 2021.
RASHID, M.; TORCHIANO, M. A systematic literature review of open data quality in practice. In.: 2nd OPEN DATA RESEARCH SYMPOSIUM (ODRS), 2., 2016, Madrid. Proceedings... Madrid: [s.n.], 2016. Disponível em: http://hdl.handle.net/11583/2648966. Acesso em: 16 dez. 2021.
REDALYC et al. Berlin Declaration on open access to knowledge in the sciences and humanities. Berlin: MaxPlank, 2003. Disponível em: https://openaccess.mpg.de/Berlin-Declaration. Acesso em: 19 dez. 2021.
ROMAIN, P. et al. Open Data best practices Version 1.1. [s.l.]: [s.n.], 2012. Disponível em: https://res.cloudinary.com/opquast/image/upload/v1556788845/checklists/Opquast-Opendata_20120831_1.pdf. Acesso em: 19 DEZ. 2021.
ROMAIN, P. A good pratices checklist for opendata. [s.l.]: W3C, 2013. Disponível em: https://www.w3.org/2013/04/odw/elie.pdf/. Acesso em: 19 dez. 2021.
SANTOS, H. D. A. et al. Investigations into data published and consumed on the Web: a systematic mapping study. Journal of the Brazilian Computer Society, [s.l.], v. 24, n. 1, p. 1–22, 2018. DOI https://doi.org/10.1186/s13173-018-0077-z.
SHAW, F. et al. COPO: a metadata platform for brokering FAIR data in the life sciences. bioRxiv 782771, [s.l.], v. 9, n. 495, p. 495, 2020. DOI https://doi.org/10.1101/782771
SIDI, F. et al. Data quality: A survey of data quality dimensions. In.: 2012 INTERNATIONAL CONFERENCE ON INFORMATION RETRIEVAL KNOWLEDGE MANAGEMENT. [s.n.], 2012, Kuala Lumpur. Proceedings... Kuala Lumpur: IEEE xplore, 2012. p. 300-304, DOI 10.1109/InfRKM.2012.6204995.
SINGH, V. K. et al. The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, [s.l.], v. 126, n. 6, p. 5113–5142, 1 jun. 2021. DOI https://doi.org/10.1007/s11192-021-03948-5.
SNIPP, C. M. What does data sovereignty imply: What does it look like. In: WALTER, M. et al. (ed.). Indigenous data sovereignty: toward an agenda. Canberra: ANU Press, 2016. Disponível em: https://press-files.anu.edu.au/downloads/press/n2140/ pdf/book.pdf. Acesso em: 19 dez. 2021.
SOUZA, M. T.; SILVA, M. D.; CARVALHO, R. Revisão integrativa: o que é e como fazer. Einstein, São Paulo, v. 8, [s.n.], p. 102–106, 2010. Disponível em: https://www.scielo.br/j/eins/a/ZQTBkVJZqcWrTT34cXLjtBx/?format=pdf&lang=pt. Acesso em: 05 dez. 2021.
TANDY, J.; VAN DEN BRINK, L.; BARNAGHI, P. Spatial Data on the Web Best Practices. [s.l.]: W3C, 2017. Disponível em: https://www.w3.org/TR/sdw-bp/. Acesso em: 15 dez. 2021.
TAUBERER, J. Open government data definition: the 8 principles of open government data. In.: Tauberer, J. Open government data: the book. 2. ed. New Hampshire: [s.n.]. 2014. Disponível em: https://opengovdata.io/2014/8-principles/. Acesso em: 15 dez. 2021.
TENOPIR, C. et al. Data sharing by scientists: practices and perceptions. PloS one, [s.l.], v. 6, n. 6, p. e21101, 2011. DOI https://doi.org/10.1371/journal.pone.0021101.
THE FUTURE OF RESEARCH COMMUNICATIONS AND E-SCHOLARSHIP FORCE11. Guiding Principles for Findable, Accessible, Interoperable and Re-usable Data [s.l.]: FORCE11, 2014. Disponível em: https://force11.org/info/guiding-principles-for-findable-accessible-interoperable-and-re-usable-data-publishing-version-b1-0/. Acesso em: 19 dez. 2021.
TORINO, E.; ROA-MARTÍNEZ, S. M.; VIDOTTI, S. A. B. G. Dados de pesquisa: disponibilização ou publicação? In.: Shintaku, M.; SALES; L. F.; Costa, M. (org.). Tópicos sobre dados abertos para editores científicos. Botucatu (SP): ABEC, 2020. p. 183-201. DOI 10.21452/978-85-93910-04-3.cap15.
TRENHAM, C.; STEER, A. The good data manifesto. In: DALY, A.; DEVITT, S. K.; MANN, M. (ed.). Good Data. Amsterdam: Institute of Network Cultures, 2019. p. 37. Disponível em: https://www.researchgate.net/publication/331985183_The_ Good_Data_Manifesto. Acesso em: 19 dez. 2021.
VALMORBIDA, S. M. I. et al. Rankings universitários mundiais. Que dizem os estudos internacionais? REICE. Revista Iberoamericana sobre Calidad, Eficacia y Cambio en Educación, [s.l.], v. 14, n. 2, p. 5–29, 2016. DOI https://doi.org/10.15366/reice2016.14.2.001.
VALMORBIDA, S. M. I.; ENSSLIN, S. R.; ENSSLIN, L. Avaliação de desempenho e contabilidade gerencial: revisão integrativa da literatura para superar as dificuldades de aplicação prática da avaliação de desempenho na gestão organizacional. Revista Contabilidade, Gestão e Governança, [s.l.], v. 21, n. 3, p. 339–360, 2018. DOI https://doi.org/10.51341/1984-3925_2018v21n3a3.
VAN DEN BRINK, L. et al. Best practices for publishing, retrieving, and using spatial data on the web. Semantic Web, [s.l.], v. 10, n. 1, p. 95–114, 2019. Disponível em: http://www.semantic-web-journal.net/system/files/swj1711.pdf. Acesso em: 15 dez. 2021.
VAN DEN EYNDEN, V.; CORTI, L. Advancing research data publishing practices for the social sciences: from archive activity to empowering researchers. International Journal on Digital Libraries, [s.l.], v. 18, n. 2, p. 113–121, 2017. DOI 10.1007/s00799-016-0177-3.
VAN DER AALST, W. Green Data Science: using big data in an “environmentally friendly” manner. In.: 18TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS. 18., 2016, Portugal. Anais… Portugal: SCITEPRESS, 2016 Disponível em: https://www.scitepress.org/ Link.aspx?doi=10.5220/0006806900010001. Acesso em: 23 dez. 2021.
VAN DER AALST, W. M. P.; BICHLER, M.; HEINZL, A. Responsible Data Science. Business and Information Systems Engineering, [s.l.], v. 59, n. 5, p. 311–313, 2017. DOI 10.1007/s12599-017-0487-z
VILLAZÓN-TERRAZAS, B. et al. Methodological guidelines for publishing government linked data. In.: WOODS, D. (ed.). Linking government data. New York (NY): Springer, 2011. p. 27–49. DOI https://doi.org/10.1007/978-1-4614-1767-5_2.
WHITTEMORE, R.; KNAFL, K. The integrative review: updated methodology. Journal of advanced nursing, [s.l.], v. 52, n. 5, p. 546–553, 2005. DOI 10.1111/j.1365-2648.2005.03621.x.
WIECZORKOWSKI, J. Barriers to using open government data. In.: 3RD INTERNATIONAL CONFERENCE ON E-COMMERCE, E-BUSINESS AND E-GOVERNMENT. 3., 2019, Lyon. Proceedings... Lyon, 2019. p. 15-20. DOI https://doi.org/10.1145/3340017.3340022.
WILKINSON, M. D. et al. A design framework and exemplar metrics for FAIRness. Scientific data, [s.l.], v. 5, n. 1, p. 1–4, 2018. DOI 10.1038/sdata.2018.118.
WILKINSON, M. D. et al. Evaluating FAIR maturity through a scalable, automated, community-governed framework. Scientific data, [s.l.], v. 6, n. 1, p. 1–12, 2019. DOI https://doi.org/10.1038/s41597-019-0184-5.
WILKINSON, M. D. et al. The FAIR guiding principles for scientific data management and stewardship. Scientific data, [s.l.], v. 3, n. 1, p. 1–9, 2016. DOI 10.1038/sdata.2016.18.
ZHANG, Y.; HUA, W.; YUAN, S. Mapping the scientific research on open data: A bibliometric review. Learned Publishing, [s.l.], v. 31, n. 2, p. 95–106, 2017. DOI https://doi.org/10.1002/leap.1110.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2023 Morgana Carneiro de Andrade, Maria José Baños Moreno, Juan-Antonio Pastor-Sánchez
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.