ABCDEFGHIJKLMNOPQRSTUVWXYZAAAB
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Naziv poljaOpis engStatusOpis hrv i dodatno pojašnjenjePrimjeriDDI 2.5DDI 2.5 xpathCDC
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M - Mand.
R - Recommm.
O - Optional
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1. skupina: Citation metadata
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TitleFull title by which the Dataset is known.MNaslov baze podataka.

Naslov baze podataka, kao i naslov članka, daje čitatelju prvu informaciju o sadržaju istraživačke baze podataka. Naslov baze podataka najčešće se oblikuje prema naslovu istraživanja unutar kojeg je baza podataka nastala. Ako se radi o projektu u kojem je napravljeno više istraživanja (različiti instrumenti, različiti uzorci), svako takvo pojedinačno istraživanje treba objaviti kao poseban entitet. Svakom entitetu treba dodijeliti poseban, specifični naslov. 		- Integration processes of majority and minorities in ethnically mixed communities

- Croatian Election Study 2020: Pre-election public opinion survey (SUF edition)		/codeBook/stdyDscr/citation/titlStmt/titl

/codeBook/stdyDscr/citation/titlStmt/titl/@xml:lang		requred

requred
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SubtitleA secondary title used to amplify or state certain limitations on the main title.OPodnaslov, ako postoji.2.1.1.1 subTitl
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Alternative TitleA title by which the work is commonly referred, or an abbreviation of the title.OMože se upisati naslov na drugom jeziku.2.1.1.3 altTitl
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Alternative URLA URL where the dataset can be viewed, such as a personal or project website.OZa podatke koji se po prvi put objavljuju u CROSSDA repozitoriju ovaj podatak ne postoji.
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Other IDAnother unique identifier that identifies this dataset (e.g., producer's or another repository's number).OZa podatke koji se po prvi put objavljuju u CROSSDA repozitoriju ovaj podatak ne postoji.2.1.1.5 IDNo
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AuthorThe person(s), corporate body(ies), or agency(ies) responsible for creating the work.MU većini slučajeva upisuju se imena osoba za koje želimo da se pojave u citatnoj referenci. Bez obzira jesu li autori prenjeli pravo na iskorištavanje djela nekom drugom, pravo da ih se navede kao autore im ostaje, osim ako s ustanovom nosu i to ugovorili drugačije (mora biti pisanim putem!).

Osobna imena upisuju se u obliku: Prezime, Ime.
Afilijacija autora bilježi se na enleskom jeziku, bez obzira na kojem jeziku je ostatak opisa dataseta.

Za identifier se snažno preporuča ORCID. Ukoliko ORCID ne postoji, bilježi se CroRIS ID (trenutno nije dostupno na izborniku, tako da ne treba odabrati ništa).		2.1.2.1 AuthEnty
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ContactNames and addresses of individuals responsible for the work. Individuals listed as contact persons will be used as resource persons regarding problems or questions raised by the user community. The URI attribute should be used to indicate a URN or URL for the homepage of the contact individual. The email attribute is used to indicate an email address for the contact individual. [DDI]MUnosi se CROSSDA, data.archive@ffzg.hr.

Drugačije je od originalnih uputa jer su originalne upute pisane za scenarij samoarhiviranja. U našem scenariju, budući da se želi postići dugoročna pohrana, CROSSDA preuzima ulogu posrednika te osigurava i trajnost email adrese.		contact
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DescriptionA summary describing the purpose, nature, and scope of the Dataset.MOpis istraživanja unutar kojeg je dataset nastao.

Ove informacije mogu se uvrstiti u opis:
- na kojem uzorku je istraživanje provedeno
- koliko osoba je sudjelovalo
- bitne karakteristike sudinika
- koje godine je provedeno
- na koji način, kojom metodom
- za koju svrhu su prikupljeni podaci, što se htjelo istražiti
- u okviru kojeg projekta, tko je financirao

U opisu se, znači, navode i informacije koje trebaju biti navedene u ostalim elementima metapodatkovnog opisa, samo je ovdje to navedeno u narativnom obliku. Može uključiti i one informacije koje se (trenutno) ne mogu upisati kao strukturirana informacija (npr. naziv projekta - sada ima samo funder i grant number).		Istraživanje je nastalo i provedeno u okviru projekta "Rad po mjeri čovjeka" financiranog sredstvima Europske unije iz Europskog socijalnog fonda u partnerstvu Instituta za društvena istraživanja u Zagrebu i Saveza samostalnih sindikata Hrvatske (voditelj projekta). Provedeno je 2021. godine na nacionalnom stratificiranom probabilističkom uzorku kojim je dosegnuto 764 osoba u dobi od 18 do 64 godine koje su imale iskustvo rada. Upitnikom se nastojalo istražiti oblike i ishode zapošljavanja na određeno, pojavnost rada na određeno u kontekstu karijere i razlike među generacijama u ovome iskustvu, iskustvo nejednakog postupanja i diskriminacije prema zaposlenima na određeno, pojavnost iskustva (samo)izrabljujućih radnih praksi i psihosocijalne marginalizacije zaposlenih na određeno i neodređeno te nepovoljan učinak rada na određeno na druge aspekte života. Također, upitnikom su sudionici_e istraživanja propitani o mogućim intervencijama u radno zakonodavstvo i politike tržišta rada kojima bi se mogao poboljšati položaj zaposlenih na određeno. 2.2.2 abstract
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Description dateIn cases where a Dataset contains more than one description (for example, one might be supplied by the data producer and another prepared by the data repository where the data are deposited), the date attribute is used to distinguish between the two descriptions. The date attribute follows the ISO convention of YYYY-MM-DD.OVećinom se ne unosi.
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SubjectDomain-specific Subject Categories that are topically relevant to the Dataset.MOdabrati "Social Sciences"
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KeywordKey terms that describe important aspects of the Dataset. Can be used for building keyword indexes and for classification and retrieval purposes. A controlled vocabulary can be employed. The vocab attribute is provided for specification of the controlled vocabulary in use, such as LCSH, MeSH, or others. The vocabURI attribute specifies the location for the full controlled vocabulary.MUpisati ključne riječi koje smatrate relevantnima. One ključne riječi koje su sadržane u ELSST tezaurisu, osoblje arhiva povezat će na taj tezaurus. https://thesauri.cessda.eu/elsst/en/
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Topic classificationThe classification field indicates the broad important topic(s) and subjects that the data cover.MOdgovarajući pojam upisat će osoblje arhiva koristeći CESSDA Topic Classification
https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=3.0
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Related PublicationPublications that use the data from this Dataset.M (ako postoji)Upisati referencu publikacije u kojoj se koriste ovi podaci. Ako je objavljen preprint, upisati DOI za preprint. Ovaj podatak može se popunjavati naknadno, kad publikacije budu objavljene.
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LanguageLanguage of the DatasetMMoguće je odabrati više jezika.
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ProducerPerson or organization with the financial or administrative responsibility over this DatasetN/ANe unosi se ništa. Polje za sad nije precizno definirano za potrebe repozitorja CROSSDA.2.1.3.1 producer
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Production DateDate when the data collection or other materials were produced (not distributed, published or archived).N/ANe unosi se ništa. Polje za sad nije precizno definirano za potrebe repozitorja CROSSDA.2.1.3.3 prodDate
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Pruduction PlaceThe location where the data collection and any other related materials were produced.N/ANe unosi se ništa. Polje za sad nije precizno definirano za potrebe repozitorja CROSSDA.2.1.3.4 prodPlac
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ContributorA contributor is a person or an institution that is responsible for collecting, managing, distributing or otherwise contributing to the development of the resource. It is any kind of contributor to the study, that is NOT the principal investigator - e.g. data collector, data manager, data depositor, project manager, sponsor etc. [DDI 3.2]RNe upisivati Data Collector - to je agencija koja je prikupljala podateke. To se upisuje u posebno polje Data Collector u skupini Social Science Metadata;

Ostalo može, ako uloge postoje i ako je važno zabilježiti.
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Grant Information - Grant AgencyM (ako postoji)Naziv financijera istraživanja2.1.3.7 grantNo
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Grant Information - Grant numberM (ako postoji)Broj projekta
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DistributorThe organization designated by the author or producer to generate copies of the particular work including any necessary editions or revisions.N/ANe upisivati, bilježi se automatski CROSSDA.distrbtr
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Distribution DateDate that the data was made available for distribution/presentation.N/ANe upisivati, bilježi se automatski CROSSDA.
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Time Period CoveredTime period to which the data refer. This item reflects the time period covered by the data, not the dates of coding or making documents machine-readable or the dates the data were collected. Also known as span.OVremenski period na koji se odnose prikupljeni podaci.2.2.3.1 timePrd
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Date of CollectionContains the date(s) when the data were collected.MVremenski period prikupljanja podataka.2.2.3.2 collDate
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Data TypeDescribes the physical format(s) of the data documented in the logical product(s) of a study unit. [DDI]MOdabrati Code descriptive term iz rječnika:
https://vocabularies.cessda.eu/vocabulary/GeneralDataFormat?lang=en		2.2.3.10 dataKind (dataKindType? GeneralDataFormat)
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SeriesInformation about the Dataset seriesM (ako postoji)
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SoftwareInformation about the software used to generate the Dataset.RUpisuje se informacija o softveru uz pomoć kojeg su podaci prikupljeni, na primjer LimeSurvey.

Ne upisuje se informacija o softveru u kojem su podaci pripremani i analizirani. Ta informacija može se, ako je potrebno, navesti u polju Cleaning Operations 		2.1.3.5 software
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Related MaterialAny material related to this Dataset. [DV]

Describes materials related to the study description, such as appendices, additional information on sampling found in other documents, etc. Can take the form of bibliographic citations. This element can contain either PCDATA or a citation or both, and there can be multiple occurrences of both the citation and PCDATA within a single element. May consist of a single URI or a series of URIs comprising a series of citations/references to external materials which can be objects as a whole (journal articles) or parts of objects (chapters or appendices in articles or documents). [DDI]		OFull details on the research design and procedures, sampling methodology, content areas, and questionnaire design, as well as percentage distributions by respondent's sex, race, region, college plans, and drug use, appear in the annual ISR volumes MONITORING THE FUTURE: QUESTIONNAIRE RESPONSES FROM THE NATION'S HIGH SCHOOL SENIORS.

Current Population Survey, March 1999: Technical Documentation includes an abstract, pertinent information about the file, a glossary, code lists, and a data dictionary. One copy accompanies each file order. When ordered separately, it is available from Marketing Services Office, Customer Service Center, Bureau of the Census, Washington, D.C. 20233.

A more precise explanation regarding the CPS sample design is provided in Technical Paper 40, The Current Population Survey: Design and Methodology. Chapter 5 of this paper provides documentation on the weighting procedures for the CPS both with and without supplement questions.		2.5.1 relMat
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Related DatasetsAny Datasets that are related to this Dataset, such as previous research on this subject.O2.5.2 relStdy
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Other ReferencesAny references that would serve as background or supporting material to this Dataset.O2.5.4 othRefs
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Data SourcesList of books, articles, serials, or machine-readable data files that served as the sources of the data collection.O2.3.1.8.1 dataSrc
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Origin of SourceFor historical materials, information about the origin of the sources and the rules followed in establishing the sources should be specified.O2.3.1.8.2 srcOrig
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Characteristic of Sources NotedAssessment of characteristics and source material.O2.3.1.8.3 srcChar
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Documentation and Access to SourcesLevel of documentation of the original sources.O2.3.1.8.4 srcDocu
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2. skupina: Geospatial Metadata
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Geographic Coverage: Country / NationInformation on the geographic coverage of the data. Includes the total geographic scope of the data.MOdabrati zemlju na koju se odnose podaci.2.2.3.3 nation
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Geographic UnitLowest level of geographic aggregation covered by the Dataset, e.g., village, county, region.O2.2.3.5 geogUnit
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3. skupina: Social Science Metadata
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Unit of AnalysisBasic unit of analysis or observation that this Dataset describes, such as individuals, families/households, groups, institutions/organizations, administrative units, and more. MOdabrati Code descriptive term iz rječnika
https://vocabularies.cessda.eu/vocabulary/AnalysisUnit?lang=en		2.2.3.8 anlyUnit
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UniverseDescription of the population covered by the data in the file; the group of people or other elements that are the object of the study and to which the study results refer. Age, nationality, and residence commonly help to delineate a given universe, but any number of other factors may be used, such as age limits, sex, marital status, race, ethnic group, nationality, income, veteran status, criminal convictions, and more. The universe may consist of elements other than persons, such as housing units, court cases, deaths, countries, and so on. In general, it should be possible to tell from the description of the universe whether a given individual or element is a member of the population under study. Also known as the universe of interest, population of interest, and target population.MIndividuals 15-19 years of age.

Individuals younger than 15 and older than 19 years of age.		2.2.3.9 universe
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Time MethodThe time method or time dimension of the data collection, such as panel, cross-sectional, trend, time- series, or other.ROdabrati Code descriptive term iz rječnika https://vocabularies.cessda.eu/vocabulary/TimeMethod?lang=en2.3.1.1 timeMeth
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Data CollectorIndividual, agency or organization responsible for administering the questionnaire or interview or compiling the data.RAko je podatke prikupljala agencija, upisati naziv agencije.2.3.1.2 dataCollector
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Collector TrainingDescribes the training provided to data collectors including internviewer training, process testing, compliance with standards etc. This is repeatable for language and to capture different aspects of the training process. The type attribute allows specification of the type of training being described. [DDI]ODescribe research project, describe population and sample, suggest methods and language for approaching subjects, explain questions and key terms of survey instrument.2.3.1.2 collectorTraining
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FrequencyIf the data collected includes more than one point in time, indicate the frequency with which the data was collected; that is, monthly, quarterly, or other.Omonthly

quarterly		2.3.1.3 frequenc
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Sampling ProcedureType of sample and sample design used to select the survey respondents to represent the population. May include reference to the target sample size and the sampling fraction.ROdabrati Code descriptive term iz rječnika https://vocabularies.cessda.eu/vocabulary/SamplingProcedure?lang=en- National multistage area probability sample

- Simple random sample

- Stratified random sample

- Quota sample

- The 8,450 women interviewed for the NSFG, Cycle IV, were drawn from households in which someone had been interviewed for the National Health Interview Survey (NHIS), between October 1985 and March 1987.

- Samples sufficient to produce approximately 2,000 families with completed interviews were drawn in each state. Families containing one or more Medicaid or uninsured persons were oversampled. 		2.3.1.4 sampProc
(TypeOfSamplingProcedure)
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Target Sample SizeSpecific information regarding the target sample size, actual sample size, and the formula used to determine this.

Provides both the target size of the sample (this is the number in the original sample, not the number of respondents) as well as the formula used for determining the sample size. [DDI]		385sampleSize.codeBook.stdyDscr.method.dataColl.targetSampleSize.sampleSize
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ActualoUpisati veličinu targetiranog uzorka (ne aktualnog uzorka!)
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Formulao
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Major Deviations for Sample DesignInformation indicating correspondence as well as discrepancies between the sampled units (obtained) and available statistics for the population (age, sex-ratio, marital status, etc.) as a whole. [DDI]OThe suitability of Ohio as a research site reflected its similarity to the United States as a whole. The evidence extended by Tuchfarber (1988) shows that Ohio is representative of the United States in several ways: percent urban and rural, percent of the population that is African American, median age, per capita income, percent living below the poverty level, and unemployment rate. Although results generated from an Ohio sample are not empirically generalizable to the United States, they may be suggestive of what might be expected nationally.2.3.1.5 deviat
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Collection ModeMethod used to collect the data; instrumentation characteristics [DDI]MOdabrati Code descriptive term iz rječnika https://vocabularies.cessda.eu/vocabulary/ModeOfCollection?lang=en2.3.1.6 collMode
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Type of Research InstrumentType of data collection instrument used. Structured indicates an instrument in which all respondents are asked the same questions/tests, possibly with precoded answers. If a small portion of such a questionnaire includes open-ended questions, provide appropriate comments. Semi-structured indicates that the research instrument contains mainly open-ended questions. Unstructured indicates that in-depth interviews were conducted.MOdabrati Code descriptive term iz rječnika https://vocabularies.cessda.eu/vocabulary/TypeOfInstrument?lang=en2.3.1.7 resInstru
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Characteristics of Data Collection SituationDescription of noteworthy aspects of the data collection situation. Includes information on factors such as cooperativeness of respondents, duration of interviews, number of call backs, or similar.O2.3.1.9 collSitu
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Actions to Minimize LossesSummary of actions taken to minimize data loss. Include information on actions such as follow-up visits, supervisory checks, historical matching, estimation, and so on.O2.3.1.10 actMincodeBook/stdyDscr/method/dataColl/actMin
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Control OperationsMethods to facilitate data control performed by the primary investigator or by the data archive.OTen percent of data entry forms were reentered to check for accuracy.2.3.1.11 ConOps
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WeightingThe use of sampling procedures might make it necessary to apply weights to produce accurate statistical results. Describes the criteria for using weights in analysis of a collection. If a weighting formula or coefficient was developed, the formula is provided, its elements are defined, and it is indicated how the formula was applied to the data.M (ako postoji)The 1996 NES dataset includes two final person-level analysis weights which incorporate sampling, nonresponse, and post-stratification factors. One weight (variable #4) is for longitudinal micro-level analysis using the 1996 NES Panel. The other weight (variable #3) is for analysis of the 1996 NES combined sample (Panel component cases plus Cross-section supplement cases). In addition, a Time Series Weight (variable #5) which corrects for Panel attrition was constructed. This weight should be used in analyses which compare the 1996 NES to earlier unweighted National Election Study data collections.2.3.1.12 weight
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Cleaning OperationsMethods used to clean the data collection, such as consistency checking, wildcode checking, or other.RChecks for undocumented codes were performed, and data were subsequently revised in consultation with the principal investigator.

Skripta čišćenja podataka dio je ovog skupa podataka.		2.3.1.13 cleanOps
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Study Level Error NotesNote element used for any information annotating or clarifying the methodology and processing of the study.O
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Response RatePercentage of sample members who provided information.R2.3.3.1 respRate
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Estimates of Sampling ErrorMeasure of how precisely one can estimate a population value from a given sample.OTo assist NES analysts, the PC SUDAAN program was used to compute sampling errors for a wide-ranging example set of proportions estimated from the 1996 NES Pre-election Survey dataset. For each estimate, sampling errors were computed for the total sample and for twenty demographic and political affiliation subclasses of the 1996 NES Pre-election Survey sample. The results of these sampling error computations were then summarized and translated into the general usage sampling error table provided in Table 11. The mean value of deft, the square root of the design effect, was found to be 1.346. The design effect was primarily due to weighting effects (Kish, 1965) and did not vary significantly by subclass size. Therefore the generalized variance table is produced by multiplying the simple random sampling standard error for each proportion and sample size by the average deft for the set of sampling error computations.2.3.3.2 EstSmpErr
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Other Forms of Data AppraisalOther issues pertaining to the data appraisal. Describe issues such as response variance, nonresponse rate and testing for bias, interviewer and response bias, confidence levels, question bias, or similar.OThese data files were obtained from the United States House of Representatives, who received them from the Census Bureau accompanied by the following caveats: "The numbers contained herein are not official 1990 decennial Census counts. The numbers represent estimates of the population based on a statistical adjustment method applied to the official 1990 Census figures using a sample survey intended to measure overcount or undercount in the Census results. On July 15, 1991, the Secretary of Commerce decided not to adjust the official 1990 decennial Census counts (see 56 Fed. Reg. 33582, July 22, 1991). In reaching his decision, the Secretary determined that there was not sufficient evidence that the adjustment method accurately distributed the population across and within states. The numbers contained in these tapes, which had to be produced prior to the Secretary's decision, are now known to be biased. Moreover, the tapes do not satisfy standards for the publication of Federal statistics, as established in Statistical Policy Directive No. 2, 1978, Office of Federal Statistical Policy and Standards. Accordingly, the Department of Commerce deems that these numbers cannot be used for any purpose that legally requires use of data from the decennial Census and assumes no responsibility for the accuracy of the data for any purpose whatsoever. The Department will provide no assistance in interpretation or use of these numbers.2.3.3.3 dataAppr
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NotesNotes about this Dataset.
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