Abstract
The IsoMedIta database compiles 6304 stable isotope measurements (δ13C, δ15N, δ18O, δ34S, 87Sr/86Sr) from archaeological sites in medieval Italy (c. 500–1500 ce). The data is spatiotemporally referenced and includes bioarchaeological and paleo-environmental descriptions, alongside with other archaeological, biological, historical, environmental and technical metadata. IsoMedIta can be employed to address various historical questions at different spatial and temporal scales. It is also a resource for defining future research agendas and for heritage management.
- –Related data set “IsoMedIta: A stable Isotope Database for Medieval Italy” with doi www.doi.org/10.48493/tsg9-h779 in repository “Pandora”.
1 Introduction
The Middle Ages, spanning from 476 to 1492 ce, played a pivotal role in constructing modern Italian history and culture. This period was characterised by political turmoil, migratory movements, socioeconomic crises, and cultural and religious clashes; nonetheless, it also saw the formation of large trading networks, the implementation of productive activities that transformed the local landscape, and the development of universities and important cultural centres (Abulafia, 1977, 2004; Brown, 2003; Chavarría Arnau, 2011; Houben, 2012; Jarnut, 1982; Loud, 2007; Loud & Metcalfe, 2002; Ostrogorski, 1956; Ward-Perkins, 2006; Wickham, 2006, 2010, 2016). Despite the political fragmentation of the peninsula, the legacy of this epoch has led to the production of a shared Italian heritage comprised of figurative arts, architecture, and traditions. The historiographical and archaeological research that has been conducted on medieval Italy has largely focused on written documents and high-value objects, which tend to reflect the views and wealth of the upper classes (Halsall, 2005; Montanari, 2012). However, anthropological and biomolecular research has provided new insights into the lifeways and activities of the broader illiterate population (Buonincontri et al., 2017; Cocozza et al., 2023; Manzi et al., 1999; Pietrobelli et al., 2020; Riccomi et al., 2021; Rolandsen et al., 2019; Torino et al., 2015). In particular, stable isotope analysis of skeletal and plant remains can be informative on ancient human subsistence practices, farming activities, and past climatic and environmental conditions. (Bogaard et al., 2013; Bonafini et al., 2013; Fiorentino et al., 2015; Hedges et al., 2004; Lahtinen et al., 2021; Lee-Thorp, 2008; Lightfoot & O’Connell, 2016).
The IsoMedIta database (Mantile et al., 2023) has been developed to collect and store the growing number of stable carbon (δ13C), nitrogen (δ15N), oxygen (δ18O), sulphur (δ34S), and strontium (87Sr/86Sr) isotopic data becoming available for medieval Italy. This repository is deposited at matilda: a repository for Medieval bioAnThropologIcaL DatAbases (www.pandoradata.earth/organization/matilda-a-repository-for-medieval-bioanthropological-databases), and amalgamates archaeological, historical, biological, and sample type data, as well as information on their location and chronology. IsoMedIta can be reused by researchers studying past human and ecological systems, such as archaeologists, historians, anthropologists, palaeoecologists, archaeobotanists, and zooarchaeologists. The database is stored in the Pandora data platform that adheres to fair and care principles (Russo Carroll et al., 2020, 2021; Wilkinson et al., 2016).
2 Problem
The number of isotopic studies conducted on medieval sites from Italy has been steadily increasing. Advances in isotope ratio mass spectrometry and decrease in analysis costs in the last decades led to a positive trend in the number of publications regarding stable isotope analysis for the Medieval era (see Figure 1a). This also follows a shared increasing trend in the application of biomolecular methods to archaeology (Roberts et al., 2018). However, many of these contributions remain inaccessible to the international academic community due to their publication in Italian journals (e.g. Pescucci et al., 2013) or their inclusion in documents that are not easily available (e.g. Marinato, 2017). IsoMedIta was created to tackle this issue by compiling isotopic measurements for medieval Italy, making them available and reusable to a larger audience. Initiatives of this kind have been developed for other regions and time periods (Cocozza et al., 2022; Cocozza & Fernandes, 2021; Etu-Sihvola et al., 2019; Fernandes et al., 2021; Goldstein et al., 2022). IsoMedIta provides new ways to explore historical research questions related to past human lifeways and the assessment of the preservation status of archaeological samples across Italy. The combined data can be used for meta-analysis at broad spatiotemporal scales.
3 Methods
The database was designed with a metadata structure that allows for multiple research lines connected with the study of medieval Italian populations across several historical, archaeological, environmental, and biological variables. IsoMedIta is a partner of the Compendium Isotoporum Medii Aevii (cima) network (Cocozza et al., 2021, 2022), a collaborative effort for the collection and study of medieval isotopic measurements from Europe and its margins. However, IsoMedIta differs from other partner databases in the network due to its unique data collection criteria and metadata structure.
IsoMedIta centralises bioarchaeological isotopic data from medieval Italian sites that have been published in national and international journals, books, archaeological reports, and academic dissertations. To locate the scientific publications online, search engines and databases such as Google Scholar, Scopus, Researchgate.net, and Academia.edu were used for searches using variations of specific keywords (e.g., ‘medieval’, ‘Italy’, and ‘isotope’, as well as cultural tags like ‘Longobard’, geographical tags such as ‘Tuscany’, and chronological tags like ‘migration period’). The bibliography of compiled texts was consulted to identify additional publications. In some cases, metadata information was retrieved from related non-isotopic archaeological and historical publications.
4 Data
- –IsoMedIta: A stable Isotope Database for Medieval Italy deposited at Pandora – doi:www.doi.org/10.48493/tsg9-h779
- –Temporal coverage: 500–1500
Currently, IsoMedIta contains 6304 stable isotope measurements from human, animal, and plant samples retrieved from Italian archaeological sites, dated between 500–1500 ce. This dataset reveals important research gaps in Italian medieval isotopic studies, including the scarcity of plant isotopic data (see Figure 1b), the predominance of bulk collagen stable carbon and nitrogen isotopes for dietary studies (see Figure 1c), and the research focus in the vicinity of Rome and northern Italy (see Figure 1d). Regarding the temporal distribution of the data, IsoMedIta illustrates peaks for Early Medieval (c. 500–1000 ce) and Late Medieval (c. 1300–1500 ce) research (see Figure 2).
IsoMedIta is accessible via the Pandora data platform (www.doi.org/10.48493/tsg9-h779). It is part of the matilda data community (www.pandoradata.earth/organization/matilda-a-repository-for-medieval-bioanthropological-databases) that collects anthropological and biomolecular datasets for medieval Europe. IsoMedIta is organised into five files. Three files store the isotopic data for human (IsoMedIta Humans 21–12–22), animal (IsoMedIta Animals 21–12–22), and plant (IsoMedIta Plants 21–12–22) samples. The database structure is then outlined in detail in a metadata file (File Metadata description IsoMedIta 21–12–22). Additionally, IsoMedIta also includes a text file that lists scientific publications used in the compilation (File references IsoMedIta 21–12–22).
Each dataset file is available in both.xlsx (Excel file) and.csv (separate comma separated) formats. The metadata structure of the three files is broadly similar but there are a few differences (e.g., taxonomic descriptions, type of sampled materials). Human, animal, and plant datasets present each a unique integer id sequence that progressively flags entries (‘IsoMedIta id’). Whenever an entry finds a match in the cima database, a specifically designated field reports its corresponding id (‘cima Entry id’). This latter is included to guarantee transparency in the data collection, a quality check of the data and a cross-identification of the isotopic measurements within the cima network. Each entry is georeferenced (‘Elevation’; ‘Latitude’; ‘Longitude’) and placed within current Italian administrative regions, provinces, cities (‘Modern Region’; ‘Modern Province’; ‘Modern City’), and the archaeological site (‘Site Name’). Also included are distance from the current coastline, local geomorphology, and Köppen climate classification (‘Distance from Modern Coast (km)’; ‘Site Geomorphology’; ‘Climate Classification (Köppen)’). Other fields are used to classify the settlement as urban or rural, offer a short description of the type of settlement and identify the category of burial context (‘Settlement Type’; ‘Site Description’; ‘Funerary Context’). Whether the site was fortified (e.g. a castle) is recorded in the field ‘Fortified Settlement?’. The presence/absence of grave goods in the burial context is given in the field ‘Grave goods’. All entries are temporally referenced using an absolute chronological range expressed in calendar years (‘Min. Year’; ‘Max. Year’) and as categorical fields that offer chronological tags (‘General Period(s)’; ‘Additional Chronological Tags’). If available, radiocarbon dates are also recorded as bp years (‘Radiocarbon id’; ‘14C’; ‘14C unc.’). Fields for historical metadata give the ruling political entities, both at the local and broader scales (‘Local Power’; ‘Central Power’). IsoMedIta is the only database of isotopic data that includes several of the aforementioned data fields.
For measurements carried out on collagen, the dataset also includes fields for collagen yield, carbon, nitrogen, and sulphur elemental concentrations, and the values of atomic C/N, C/S, N/S ratios, when available. These can be used to assess collagen preservation using different criteria (Ambrose, 1990; DeNiro, 1985; Guiry & Szpak, 2021; Nehlich & Richards, 2009; van Klinken, 1999). In the collection, we also included isotopic measurements that did not fit in the established ranges. These can be easily filtered out by IsoMedIta users whether useful to explore their research question.
Below a brief description of the files composing IsoMedIta.
- –The human dataset (IsoMedIta Humans 21–12–22) consists of 5178 isotopic measurements of δ13C, δ15N, δ18O, δ34S, 87Sr/86Sr on human skeletal samples recovered from 64 medieval archaeological sites across Italy (see Figure 3). These measurements, obtained from bone/tooth collagen, bone bioapatite, or tooth enamel are typically used to inform on human diet, nutrition, and spatial mobility (Lee-Thorp, 2008; Lightfoot & O’Connell, 2016).
- –The animal dataset (IsoMedIta Animals 21–12–22) consists of 1098 isotopic measurements of δ13C, δ15N, δ18O, δ34S, 87Sr/86Sr from bone and tooth samples collected from 48 Italian medieval sites (see Figure 4). Faunal isotopic measurements of bone/tooth collagen, bone bioapatite, and tooth enamel are typically utilised in archaeology to generate isotopic baselines necessary for human dietary and spatial mobility studies (Lee-Thorp, 2008; Lightfoot & O’Connell, 2016). Animal isotopic measurements also inform on past animal management practices and can be used for paleo-environmental reconstructions (Bogaard et al., 2013; Bonafini et al., 2013; Hedges et al., 2004). Compared to the human dataset, the animal dataset includes additional taxonomic categories. Some fields present in the human dataset (e.g. social status or religion) are not available for the animal dataset.
- –The plant dataset (IsoMedIta Plants 21–12–22) includes 28 isotopic measurements of δ13C and δ15N (see Figure 5) on samples from only two sites – Castello di Santa Severa (Gismondi et al., 2020) and Portus Romae (O’Connell et al., 2019). The isotopic values of plants vary with farming practices and climatic/environmental conditions (Bogaard et al., 2013; Fiorentino et al., 2015; Hedges et al., 2004) and can inform on these. They are also necessary for an adequate isotopic interpretation of past human diets or spatial mobility. Unfortunately, plant samples are often not preserved in the archaeological record and floatation techniques that could aid in retrieving plant materials are still not widely employed.
- –The IsoMedIta metadata file (File Metadata description IsoMedIta 21–12–22) provides a text description of the fields used to describe the human, animal, and plant datasets.
- –A text file (File references IsoMedIta 21–12–22) lists the 31 scientific publications from which isotopic data has been retrieved. Citations are formatted using the Harvard referencing style.
5 Concluding Remarks
IsoMedIta is a research tool for historians and archaeologists studying medieval Italy. The database can be used for spatiotemporal studies of past human behaviours and productive activities, the reconstruction of past environmental and climatic conditions, and a resource for heritage management. IsoMedIta is an active database and we plan to regularly update it once a year. In line with our collaborative and distributive ethos, we welcome partnerships with research colleagues and with other isotopic databases compiling data for medieval Italy. Data collectors can upload their independent datasets in the matilda data community and these will be referenced in IsoMedIta, whenever their data fits with our collection criteria. An example is provided by the “Isotopic dataset for late medieval Capitanata (southern Italy) (www.doi.org/10.48493/w01v-fe90)” (Cocozza et al., 2023), referenced in IsoMedIta.
Acknowledgements
The data was collected as part of the Pandora & IsoMemo initiatives supported by the Max Planck Institute of Geoanthropology, PS&H research group, University of Warsaw, Masaryk University, and Eurasia3angle research group.
References
Abulafia, D. (1977). The two Italies: Economic relations between the Norman kingdom of Sicily and the northern communes. Cambridge University Press.
Abulafia, D. (2004). Italy in the Central Middle Ages 1000–1300. Oxford University Press.
Ambrose, S. H. (1990). Preparation and characterization of bone and tooth collagen for isotopic analysis. Journal of Archaeological Science, 17(4), 431–451. www.doi.org/10.1016/0305-4403(90)90007-R.
Bogaard, A., Fraser, R., Heaton, T. H., Wallace, M., Vaiglova, P., Charles, M., Jones, G., Evershed, R. P., Styring, A. K., & Andersen, N. H. (2013). Crop manuring and intensive land management by Europe’s first farmers. Proceedings of the National Academy of Sciences, 110(31), Article 31.
Bonafini, M., Pellegrini, M., Ditchfield, P., & Pollard, A. M. (2013). Investigation of the ‘canopy effect’ in the isotope ecology of temperate woodlands. Journal of Archaeological Science, 40(11), Article 11. www.doi.org/10.1016/j.jas.2013.03.028.
Bronk Ramsey, C. (2017). Methods for summarizing radiocarbon datasets. Radiocarbon, 59(6), 1809–1833. www.doi.org/10.1017/RDC.2017.108.
Brown, G. S. (2003). The Norman conquest of southern Italy and Sicily. McFarland.
Buonincontri, M. P., Pecci, A., Di Pasquale, G., Ricci, P., & Lubritto, C. (2017). Multiproxy approach to the study of medieval food habits in Tuscany (central Italy). Archaeological and Anthropological Sciences, 9(4), Article 4. www.doi.org/10.1007/s12520-016-0428-7.
Chavarría Arnau, A. (2011). Changes in scale in the Italian countryside from Late Antiquity to the Early Middle Ages. In J. Escalona & A. Reynolds (Eds.), Scale and Scale Change in the Early Middle Ages (Vol. 6, pp. 121–132). Brepols Publishers. www.doi.org/10.1484/M.TMC-EB.3.4770.
Cocozza, C., Cirelli, E., Groß, M., Teegen, W.-R., & Fernandes, R. (2021). Compendium Isotoporum Medii Aevi (cima). Pandora. www.doi.org/10.48493/s9nf-1q80.
Cocozza, C., Cirelli, E., Groß, M., Teegen, W.-R., & Fernandes, R. (2022). Presenting the Compendium Isotoporum Medii Aevi, a multi-isotope database for medieval Europe. Scientific Data, 9(1), Article 1. www.doi.org/10.1038/s41597-022-01462-8.
Cocozza, C., & Fernandes, R. (2021). Amalthea: A database of isotopic measurements on archaeological and forensic tooth dentine increments. Journal of Open Archaeology Data, 9, 4. www.doi.org/10.5334/joad.75.
Cocozza, C., Teegen, W.-R., Vigliarolo, I., Favia, P., Giuliani, R., Muntoni, I. M., Oione, D., Clemens, L., Groß, M., Roberts, P., Lubritto, C., & Fernandes, R. (2023). A Bayesian multi-proxy contribution to the socioeconomic, political, and cultural history of late medieval Capitanata (southern Italy). Scientific Reports, 13, 4078. www.doi.org/10.1038/s41598-023-30706-9.
DeNiro, M. J. (1985). Postmortem preservation and alteration of in vivo bone collagen isotope ratios in relation to palaeodietary reconstruction. Nature, 317(6040), 806–809. www.doi.org/10.1038/317806a0.
Etu-Sihvola, H., Bocherens, H., Drucker, D. G., Junno, A., Mannermaa, K., Oinonen, M., Uusitalo, J., & Arppe, L. (2019). The dIANA database – Resource for isotopic paleodietary research in the Baltic Sea area. Journal of Archaeological Science: Reports, 24, 1003–1013. www.doi.org/10.1016/j.jasrep.2019.03.005.
Fernandes, R., Hudson, M., Takamiya, H., Bassino, J.-P., Uchiyama, J., & Robbeets, M. (2021). The archipelago archaeological isotope database for the Japanese islands. Journal of Open Archaeology Data, 9(0), Article 0. www.doi.org/10.5334/joad.73.
Fiorentino, G., Ferrio, J. P., Bogaard, A., Araus, J. L., & Riehl, S. (2015). Stable isotopes in archaeobotanical research. Vegetation History and Archaeobotany, 24(1), 215–227. www.doi.org/10.1007/s00334-014-0492-9.
Gismondi, A., Baldoni, M., Gnes, M., Scorrano, G., D’Agostino, A., Di Marco, G., Calabria, G., Petrucci, M., Müldner, G., Von Tersch, M., Nardi, A., Enei, F., Canini, A., Rickards, O., Alexander, M., & Martínez-Labarga, C. (2020). A multidisciplinary approach for investigating dietary and medicinal habits of the medieval population of Santa Severa (7th-15th centuries, Rome, Italy). plos one, 15(1), e0227433. www.doi.org/10.1371/journal.pone.0227433.
Goldstein, S., Hixon, S., Scott, E., Wolfhagen, J., Iminjili, V., Janzen, A., Chritz, K., Sawchuck, E., Ndiema, E., Sealy, J. C., Stone, A., Zoeller, G., Phelps, L. N., & Fernandes, R. (2022). Presenting the AfriArch isotopic database. Journal of Open Archaeology Data, 10(0), Article 0. www.doi.org/10.5334/joad.94.
Guiry, E. J., & Szpak, P. (2021). Improved quality control criteria for stable carbon and nitrogen isotope measurements of ancient bone collagen. Journal of Archaeological Science, 132, 105416. www.doi.org/10.1016/j.jas.2021.105416.
Halsall, G. (2005). The sources and their interpretations. In P. Fouracre (Ed.), The New Cambridge Medieval History, Volume 1 c.500 – c.700 (pp. 56–92). Cambridge University Press.
Hedges, R. E. M., Stevens, R. E., & Richards, M. P. (2004). Bone as a stable isotope archive for local climatic information. Quaternary Science Reviews, 23(7), 959–965. www.doi.org/10.1016/j.quascirev.2003.06.022.
Houben, H. (2012). Die Normannen. C. H. Beck.
Jarnut, J. (1982). Geschichte der Langobarden. Kohlhammer.
Lahtinen, M., Arppe, L., & Nowell, G. (2021). Source of strontium in archaeological mobility studies – Marine diet contribution to the isotopic composition. Archaeological and Anthropological Sciences, 13(1), Article 1. www.doi.org/10.1007/s12520-020-01240-w.
Lee-Thorp, J. A. (2008). On isotopes and old bones. Archaeometry, 50(6), 925–950. www.doi.org/10.1111/j.1475-4754.2008.00441.x.
Lightfoot, E., & O’Connell, T. C. (2016). On the use of biomineral oxygen isotope data to identify human migrants in the archaeological record: Intra-sample variation, statistical methods and geographical considerations. plos one, 11(4), Article 4. www.doi.org/10.1371/journal.pone.0153850.
Loud, G. A. (2007). The Latin Church in Norman Italy. Cambridge University Press.
Loud, G. A., & Metcalfe, A. (Eds.). (2002). The society of Norman Italy. Brill.
Mantile, N., Fernandes, R., Lubritto, C., & Cocozza, C. (2023). IsoMedIta: A stable isotope database for medieval Italy. Pandora. www.doi.org/10.48493/tsg9-h779.
Manzi, G., Salvadei, L., Vienna, A., & Passarello, P. (1999). Discontinuity of life conditions at the transition from the Roman imperial age to the early middle ages: Example from central Italy evaluated by pathological dento-alveolar lesions. American Journal of Human Biology, 11(3), Article 3. www.doi.org/10.1002/(SICI)1520-6300(1999)11:3<327::AID-AJHB5>3.0.CO;2-M
Marinato, M. (2017). Analisi degli isotopi stabili delle sepolture altomedievali. In A. Chavarría Arnau (Ed.), Ricerche sul Centro episcopale di Padova: Scavi 2011–2012 (pp. 151–154). sap, Società archeologica.
Montanari, M. (2012). Medieval tastes. Food, cooking, and the table (B. A. Brombert, Trans.). Columbia Univ Press.
Nehlich, O., & Richards, M. P. (2009). Establishing collagen quality criteria for sulphur isotope analysis of archaeological bone collagen. Archaeological and Anthropological Sciences, 1(1), 59–75. www.doi.org/10.1007/s12520-009-0003-6.
O’Connell, T. C., Ballantyne, R. M., Hamilton-Dyer, S., Margaritis, E., Oxford, S., Pantano, W., Millett, M., & Keay, S. J. (2019). Living and dying at the Portus Romae. Antiquity, 93(369), 719–734. www.doi.org/10.15184/aqy.2019.64.
Ostrogorski, G. (1956). History of the Byzantine state. Blackwell.
Pescucci, L., Battistini, A., Angelis, F. D., & Catalano, P. (2013). Vivere al centro di Roma nell’viii secolo d.C. Indicazioni antropologiche. Bollettino di Archeologia On Line, 4, 113–138.
Pietrobelli, A., Mariotti, V., Fusari, S., Gasparini, A., Bettuzzi, M., Morigi, M. P., & Belcastro, M. G. (2020). Syphilis in an Italian medieval jewish community: A bioarchaeological and cultural perspective. International Journal of Paleopathology, 30, 85–97. www.doi.org/10.1016/j.ijpp.2020.06.001.
Riccomi, G., Casaccia, J., Minozzi, S., Felici, C., Campana, S., & Giuffra, V. (2021). Maxillary sinusitis as a respiratory health indicator: A bioarchaeological investigation into medieval central Italy. International Journal of Paleopathology, 35, 40–48. www.doi.org/10.1016/j.ijpp.2021.09.001.
Roberts, P., Fernandes, R., Craig, O. E., Larsen, T., Lucquin, A., Swift, J., & Zech, J. (2018). Calling all archaeologists: Guidelines for terminology, methodology, data handling, and reporting when undertaking and reviewing stable isotope applications in archaeology. Rapid Communications in Mass Spectrometry, 32(5), Article 5. www.doi.org/10.1002/rcm.8044.
Rolandsen, G. L., Arthur, P., & Alexander, M. (2019). A tale of two villages: Isotopic insight into diet, economy, cultural diversity and agrarian communities in medieval (11th–15th century ce) Apulia, Southern Italy. Journal of Archaeological Science: Reports, 28, 102009. www.doi.org/10.1016/j.jasrep.2019.102009.
Russo Carroll, S., Garba, I., Figueroa-Rodríguez, O. L., Holbrook, J., Lovett, R., Materechera, S., Parsons, M., Raseroka, K., Rodriguez-Lonebear, D., Rowe, R., Sara, R., Walker, J. D., Anderson, J., & Hudson, M. (2020). The care principles for indigenous data governance. Data Science Journal, 19(1), Article 1. www.doi.org/10.5334/dsj-2020-043.
Russo Carroll, S., Herczog, E., Hudson, M., Russell, K., & Stall, S. (2021). Operationalizing the care and fair Principles for Indigenous data futures. Scientific Data, 8(1), Article 1. www.doi.org/10.1038/s41597-021-00892-0.
Torino, M., Boldsen, J. L., Tarp, P., Rasmussen, K. L., Skytte, L., Nielsen, L., Schiavone, S., Terrasi, F., Passariello, I., Ricci, P., & Lubritto, C. (2015). Convento di San Francesco a Folloni: The function of a medieval Franciscan friary seen through the burials. Heritage Science, 3(1), Article 1. www.doi.org/10.1186/s40494-015-0056-z.
van Klinken, G. J. (1999). Bone collagen quality indicators for palaeodietary and radiocarbon measurements. Journal of Archaeological Science, 26(6), 687–695. www.doi.org/10.1006/jasc.1998.0385.
Ward-Perkins, B. (2006). The fall of Rome: And the end of civilization. Oxford University Press.
Wickham, C. (2006). Framing the early Middle Ages: Europe and the Mediterranean, 400–800. Oxford University Press.
Wickham, C. (2010). The inheritance of Rome: A history of Europe from 400 to 1000. Penguin Books.
Wickham, C. (2016). Medieval Europe. Yale University Press.
Wilkinson, M. D., Dumontier, M., Aalbersberg, IJ. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). The fair Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1), Article 1. www.doi.org/10.1038/sdata.2016.18.