{"id":"https://openalex.org/W6912156328","doi":"https://doi.org/10.5281/zenodo.15161372","title":"Research Software at the University of Illinois Urbana-Champaign: A Mixed Methods Survey Dataset","display_name":"Research Software at the University of Illinois Urbana-Champaign: A Mixed Methods Survey Dataset","publication_year":2025,"publication_date":"2025-04-05","ids":{"openalex":"https://openalex.org/W6912156328","doi":"https://doi.org/10.5281/zenodo.15161372"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.15161372","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15161372","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.15161372","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Besser, Stephanie A.","orcid":"https://orcid.org/0000-0002-9691-352X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Besser, Stephanie A.","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":"https://orcid.org/0000-0002-9691-352X","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jensen, Eric A.","orcid":"https://orcid.org/0000-0002-8332-4507"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jensen, Eric A.","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":"https://orcid.org/0000-0002-8332-4507","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":null,"display_name":"Katz, Daniel S.","orcid":"https://orcid.org/0000-0001-5934-7525"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katz, Daniel S.","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":"https://orcid.org/0000-0001-5934-7525","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/respondent","display_name":"Respondent","score":0.7771999835968018},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5375000238418579},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5253999829292297},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.492000013589859},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4781000018119812},{"id":"https://openalex.org/keywords/survey-methodology","display_name":"Survey methodology","score":0.435699999332428},{"id":"https://openalex.org/keywords/institutional-review-board","display_name":"Institutional review board","score":0.3910999894142151},{"id":"https://openalex.org/keywords/survey-data-collection","display_name":"Survey data collection","score":0.38960000872612}],"concepts":[{"id":"https://openalex.org/C2776640315","wikidata":"https://www.wikidata.org/wiki/Q7315941","display_name":"Respondent","level":2,"score":0.7771999835968018},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5375000238418579},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5253999829292297},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.492000013589859},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4781000018119812},{"id":"https://openalex.org/C73945780","wikidata":"https://www.wikidata.org/wiki/Q814232","display_name":"Survey methodology","level":2,"score":0.435699999332428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4318000078201294},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.4025000035762787},{"id":"https://openalex.org/C2777106319","wikidata":"https://www.wikidata.org/wiki/Q362104","display_name":"Institutional review board","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C173481278","wikidata":"https://www.wikidata.org/wiki/Q7257997","display_name":"Survey research","level":2,"score":0.38580000400543213},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38359999656677246},{"id":"https://openalex.org/C2779318504","wikidata":"https://www.wikidata.org/wiki/Q1438035","display_name":"Research design","level":2,"score":0.3831999897956848},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34150001406669617},{"id":"https://openalex.org/C153997805","wikidata":"https://www.wikidata.org/wiki/Q42240","display_name":"Research ethics","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C39896193","wikidata":"https://www.wikidata.org/wiki/Q380344","display_name":"Descriptive statistics","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C203094294","wikidata":"https://www.wikidata.org/wiki/Q6035951","display_name":"Online research methods","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C68122502","wikidata":"https://www.wikidata.org/wiki/Q764527","display_name":"Informed consent","level":3,"score":0.2856999933719635},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.2782999873161316},{"id":"https://openalex.org/C65067816","wikidata":"https://www.wikidata.org/wiki/Q2295139","display_name":"Computer-assisted web interviewing","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C24845683","wikidata":"https://www.wikidata.org/wiki/Q178651","display_name":"Interview","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2667999863624573},{"id":"https://openalex.org/C5733905","wikidata":"https://www.wikidata.org/wiki/Q10744315","display_name":"Survey sampling","level":3,"score":0.2524000108242035},{"id":"https://openalex.org/C52913732","wikidata":"https://www.wikidata.org/wiki/Q857102","display_name":"Software design","level":4,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.15161372","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15161372","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.15161372","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15161372","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"score":0.4923957586288452,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Description":[0],"The":[1,71,233,326,347],"research":[2,19,32,58,296,317,507,517,541,547,557,561,912,1201,1226],"employed":[3],"a":[4,145,177,364,506,516,916],"mixed":[5],"methods":[6],"online":[7,143],"survey":[8,179,192,234,331,343,902,927],"to":[9,38,100,104,161,204,236,244,248,315,451,475,601,626,907,920,925,948,969,1011],"understand":[10],"better":[11,921],"the":[12,22,48,61,64,85,113,139,142,154,162,165,168,226,253,257,260,262,269,291,301,308,319,330,342,423,431,487,494,498,844,1021,1095,1168],"meaning,":[13],"use,":[14],"and":[15,35,56,87,119,172,182,185,194,225,285,306,405,415,445,465,467,528,559,714,803,808,833,1146],"development":[16],"of":[17,24,50,63,73,141,156,167,197,228,259,264,322,329,422,486,781,786,790,794,820,838,1157,1170,1241,1246],"academic":[18,31,437,911,1096],"software":[20,33,218,222,230,297,508,518,542,548,562],"at":[21,42,252,307,524],"University":[23,72,155],"Illinois":[25,74,157],"Urbana-Champaign.":[26],"Other":[27,628,661,684,773],"objectives":[28],"include":[29],"understanding":[30],"support":[34],"training":[36],"needs":[37],"make":[39],"projects":[40],"successful":[41],"Illinois,":[43],"as":[44,46,361,363],"well":[45,362],"investigating":[47],"use":[49],"generative":[51,552],"AI":[52,553],"tools":[53],"in":[54,298,493,545,555,900,1220],"using":[55,217,295],"creating":[57,221,556],"software.":[59],"At":[60,138,256],"beginning":[62,140],"survey,":[65,144,261],"all":[66,241,276,1053,1234],"participants":[67],"gave":[68,88],"informed":[69],"consent.":[70,207],"Urbana-Champaign":[75],"Institutional":[76,158],"Review":[77,159],"Board":[78,160],"(IRB":[79],"Protocol":[80],"no.:":[81],"Project":[82],"IRB24-0989)":[83],"reviewed":[84],"study":[86],"it":[89,427],"an":[90],"exempt":[91],"determination.":[92],"Data":[93],"collection":[94],"took":[95],"place":[96],"from":[97,153,376,435,441,478],"August":[98],"2024":[99],"October":[101],"2024.":[102],"Prior":[103],"data":[105,114,187],"analysis,":[106],"identifiable":[107],"respondent":[108,1197],"details":[109],"were":[110,123,131,210,349,371,391,434,473,505],"removed":[111],"during":[112],"cleaning":[115],"process.":[116],"Not":[117,523,584],"Applicable":[118],"Unsure":[120],"style":[121],"responses":[122,130,370,924],"used":[124,544],"for":[125,133,180,191,199,219,223,231,344,419,537,771,843,897,1200,1206],"descriptive":[126],"statistics,":[127],"but":[128,426],"these":[129],"excluded":[132],"inferential":[134],"statistics.":[135],"Survey":[136,208,385,569,878,884],"design":[137],"consent":[146],"form":[147],"was":[148,266,304,324,332],"provided":[149],"based":[150],"on":[151],"guidelines":[152],"respondents":[163,265,287,303,312,323,390,424,433,472,500,511,521],"stating":[164,522],"aims":[166],"study,":[169],"its":[170],"benefits":[171],"risks,":[173],"ethical":[174],"guidelines,":[175],"being":[176,273],"voluntary":[178],"participation":[181,899],"withdrawal,":[183],"privacy":[184],"confidentiality,":[186],"security,":[188],"estimated":[189],"time":[190],"completion,":[193],"contact":[195],"information":[196,489],"researchers":[198],"asking":[200],"questions.":[201,367,928],"Respondents":[202,337],"clicked":[203],"indicate":[205],"their":[206,299],"questions":[209,242,281,348,352,535,909,919],"divided":[211],"into":[212],"four":[213],"parts:":[214],"demographic":[215,271,280,488,918],"information,":[216],"research,":[220,224,300,546],"protocol":[227],"citing":[229],"research.":[232],"had":[235,282],"stop":[237,254,293,310],"points,":[238],"whereby":[239],"not":[240,513,600,625,947,968,1010],"applied":[243],"respondents,":[245,277],"which":[246],"led":[247],"different":[249],"sample":[250],"sizes":[251],"points.":[255],"opening":[258],"number":[263,321],"251":[267],"with":[268,353,520,1104],"funding":[270,477,1199,1205,1214],"question":[272,328],"answered":[274,333,502,1218],"by":[275,334],"while":[278],"other":[279,345,397,926],"between":[283],"225":[284],"228":[286],"answering":[288],"them.":[289],"For":[290],"first":[292],"question,":[294,311],"total":[302,320],"212,":[305],"last":[309,327,1160,1162,1172],"considering":[313],"themselves":[314,515],"be":[316,429,491],"developers,":[318],"74.":[325],"71":[335],"respondents.":[336],"may":[338],"also":[339],"have":[340,1025],"left":[341],"reasons.":[346],"primarily":[350],"closed-type":[351],"single":[354],"choice,":[355,357],"multiple":[356],"or":[358,610,614,618,985,990,994,998,1005,1098,1227],"Likert":[359,368,379],"scale,":[360],"few":[365,917],"open-ended":[366,534],"scale":[369],"created":[372],"utilizing":[373],"validated":[374],"scales":[375],"Vagias'":[377],"(2006)":[378],"Type":[380],"Scale":[381],"Response":[382,886],"Anchors.":[383],"Sampling":[384],"Respondents\u2019":[386,570],"Demographics":[387,571,894],"While":[388],"most":[389,510,1088,1101],"Tenure":[392,651,1060],"Track":[393,652,1061],"Faculty":[394,653,660,663,1062,1065,1068],"(34.7%,":[395],"f=227),":[396],"key":[398],"categories":[399],"included":[400],"Principal":[401,654,1057],"Investigator":[402,655,1058],"(22.4%,":[403],"f=227)":[404],"Research":[406,656,659,665,667,772,813,850,1067,1070,1073,1081],"Scientist":[407,657,1071],"(12.1%,":[408],"f=227).":[409],"Computer":[410,697,1107],"Science,":[411,413],"Information":[412,705],"Mathematics,":[414],"Engineering":[416,686],"fields":[417,438,448],"combined":[418],"16%":[420],"(f=228)":[421],"surveyed,":[425],"should":[428],"noted":[430],"remaining":[432],"various":[436,442,479],"across":[439],"campus":[440],"arts,":[443],"humanities,":[444],"social":[446],"science":[447,1152],"(25%,":[449],"f=228)":[450],"agriculture":[452],"(10%,":[453],"f=228),":[454,457,460,464],"education":[455],"(5%,":[456],"economics":[458],"(3%,":[459],"medical":[461],"sciences":[462,1113,1115,1119,1121,1123,1125],"(4%,":[463],"politics":[466],"policy/law":[468],"(1%,":[469],"f=228).":[470],"Most":[471],"likely":[474],"receive":[476,1204],"government":[480],"agencies.":[481],"A":[482,1255],"more":[483],"detailed":[484],"breakdown":[485],"can":[490],"found":[492],"supplemental":[495],"figures.":[496],"Of":[497],"74":[499],"who":[501],"whether":[503],"they":[504,1217],"developer,":[509,519],"did":[512],"consider":[514],"All":[525],"(39%,":[526],"n=74)":[527],"Slightly":[529],"(22%,":[530],"n=74).":[531],"In":[532],"addition,":[533],"asked":[536],"further":[538],"detail":[539],"about":[540,910],"titles":[543],"developer":[549],"challenges,":[550],"how":[551,560],"assisted":[554],"software,":[558,913],"is":[563,930,955,977,1020,1048,1094],"preserved":[564],"(e.g.,":[565,642,1038,1105,1229],"reproducibility).":[566],"Table":[567,876],"1:":[568],"Characteristics":[572],"Respondent":[573],"(%)":[574],"Age":[575,891],"18-24":[576],"25-34":[577],"35-44":[578],"45-54":[579],"55-64":[580],"Over":[581],"64":[582,945],"Preferred":[583],"Answer":[585],"3%":[586,726,727,728,729],"14%":[587,590,761],"33%":[588],"27%":[589,769],"7%":[591,674],"2%":[592,605,678,679,730,731,732,733,865,866],"Gender":[593,953],"Woman":[594],"Man":[595],"Non-binary":[596],"/":[597,965],"non-conforming":[598,966],"Prefer":[599,624],"answer":[602,627,908,915,949,970,1012],"49%":[603],"44%":[604],"4%":[606,675,676,677,758,863,864],"Race":[607,975],"Asian":[608],"Black":[609],"African":[611,620,991,1000],"American":[612,992],"Hispanic":[613],"Latino":[615,995],"Middle":[616],"Eastern":[617,997],"North":[619,999],"(MENA;":[621,1001],"new)":[622,1002],"White":[623],"12%":[629,672],"5%":[630,647,724,862],"6%":[631,645,722,723],"1%":[632,635,734,735,736,867,868,869,870,871,872],"67%":[633],"8%":[634,673,721,759],"Highest":[636,1017],"Degree":[637,741,1018],"Bachelors":[638],"Masters":[639],"Professional":[640,649,1045],"degree":[641,1023,1037,1163],"J.D.)":[643,1039],"Doctorate":[644],"19%":[646],"70%":[648],"Title":[650,1046],"Staff":[658,1077],"Teaching":[662,1064],"Postdoc":[664,1079],"Assistant":[666,1082],"Software":[668,1074],"Engineer":[669,1075],"35%":[670],"22%":[671,857],"Academic":[680,1091],"Field":[681,1092],"Biological":[682],"Sciences":[683,689,691,696,701,710,822],"Agriculture":[685,782,1242],"Psychology":[687],"Earth":[688],"Physical":[690],"Education":[692,821],"Medical":[693,849],"&":[694,1117,1139],"Health":[695,787],"Science":[698,706,775,1150,1251],"Library":[699],"Chemical":[700],"Human":[702],"Society":[703],"Economics":[704],"Environment":[707],"Veterinary":[708],"Mathematical":[709],"History":[711],"Architecture":[712],"Politics":[713],"Policy":[715],"Law":[716],"18%":[717,858,859],"10%":[718,719],"9%":[720,861],"4%3%":[725],"0%":[737,873,874,875],"Years":[738,747,749,751,753,757,936],"Since":[739],"Last":[740],"Less":[742],"than":[743,755,1179,1191],"1":[744,888,1180],"Year":[745],"1-2":[746],"3-5":[748],"6-9":[750],"10-15":[752],"More":[754],"15":[756,1192],"11%":[760,860],"24%":[762],"40%":[763],"Receive":[764],"Funding":[765],"Yes":[766],"No":[767],"73%":[768],"Funders":[770],"National":[774,784,801,841,1250,1254],"Foundation":[776,811,826,829,831,836,856],"(NSF)":[777],"United":[778,1238],"States":[779,1239],"Department":[780,789,793,837,1240,1245],"(USDA)":[783,1243],"Institute":[785,819],"(NIH)":[788],"Energy":[791,817,1247],"(DOE)":[792,1248],"Defense":[795],"(DOD)":[796],"Environmental":[797],"Protection":[798],"Agency":[799,815],"(EPA)":[800],"Aeronautics":[802],"Space":[804],"Administration":[805],"(NASA)":[806],"Bill":[807],"Melinda":[809],"Gates":[810,1231],"Advanced":[812],"Projects":[814],"-":[816],"(ARPA-E)":[818],"Alfred":[823],"P.":[824],"Sloan":[825],"W.M.":[827],"Keck":[828],"Simons":[830],"Gordon":[832],"Betty":[834],"Moore":[835],"Justice":[839],"(DOJ)":[840],"Endowment":[842],"Humanities":[845],"(NEH)":[846],"Congressionally":[847],"Directed":[848],"Programs":[851],"(CDMRP)":[852],"Andrew":[853],"W.":[854],"Mellon":[855],"2:":[877],"Codebook":[879],"QuestionID":[880],"Variable":[881,882],"Label":[883],"Item":[885],"Options":[887],"age":[889],"Respondent\u2019s":[890,952,974,1016,1044,1087,1213],"Section":[892],"Header:":[893],"Thank":[895],"you":[896,905,1024,1100,1203],"your":[898,923,931,956,978,1049,1171,1207,1225],"this":[901],"today!":[903],"Before":[904],"begin":[906],"please":[914],"contextualize":[922],"What":[929,954,976,1019,1047,1093],"age?":[932],"Select":[933,958,980,1027,1052,1109,1175,1233],"one":[934,959,981,1028,1110,1176],"choice.":[935,960,982,1029,1111,1177],"1-Under":[937],"18":[938],"2-18-24":[939],"3-25-34":[940],"4-35-44":[941],"5-45-54":[942],"6-55-64":[943],"7-Over":[944],"8-Prefer":[946,1009],"2":[950],"gender":[951],"gender?":[957],"1-Female":[961],"2-Male":[962],"3-Transgender":[963],"4-Non-binary":[964],"5-Prefer":[967],"6-Other:":[971],"3":[972],"race":[973],"race?":[979],"1-American":[983],"Indian":[984],"Alaska":[986],"Native":[987],"2-Asian":[988],"3-Black":[989],"4-Hispanic":[993],"5-Middle":[996],"6-Native":[1003],"Hawaiian":[1004],"Pacific":[1006],"Islander":[1007],"7-White":[1008],"9-Other:":[1013],"4":[1014],"highest_degree":[1015],"highest":[1022],"completed?":[1026],"1-None":[1030],"2-High":[1031],"school":[1032],"3-Associate":[1033],"4-Bachelor's":[1034],"5-Master's":[1035],"6-Professional":[1036],"7-Doctorate":[1040],"8-Other:":[1041],"5":[1042],"professional_title":[1043],"professional":[1050],"title?":[1051],"that":[1054,1235],"apply.":[1055,1236],"1-professional_title___1":[1056],"2-professional_title___2":[1059],"3-professional_title___3":[1063],"4-professional_title___4":[1066],"5-professional_title___5":[1069],"6-professional_title___6":[1072],"7-professional_title___7":[1076],"8-professional_title___8":[1078],"9-professional_title___9":[1080],"10-professional_title___10":[1083],"Other:":[1084],"6":[1085],"academic_field":[1086],"strongly":[1089,1102],"identified":[1090],"field":[1097],"discipline":[1099],"identify":[1103],"Psychology,":[1106],"Science)?":[1108],"1-Chemical":[1112],"2-Biological":[1114],"3-Medical":[1116],"health":[1118],"4-Physical":[1120],"5-Mathematical":[1122],"6-Earth":[1124],"7-Agriculture":[1126],"8-Veterinary":[1127],"9-Environment":[1128],"10-Psychology":[1129],"11-Law":[1130],"12-Philosophy":[1131],"13-Economics":[1132],"14-Human":[1133],"society":[1134],"15-Journalism":[1135],"16-Library":[1136],"17-Education":[1137],"18-Art":[1138],"Design":[1140],"Management":[1141],"19-Engineering":[1142],"20-Language":[1143],"21-History":[1144],"22-Politics":[1145],"policy":[1147],"23-Architecture":[1148],"24-Computer":[1149],"25-Information":[1151],"26-Other:":[1153],"7":[1154],"years_since_last_degree":[1155],"Number":[1156],"years":[1158,1166,1183,1185,1187,1189,1193],"since":[1159,1167],"respondent\u2019s":[1161],"How":[1164],"many":[1165],"award":[1169],"completed":[1173],"degree?":[1174],"1-Less":[1178],"year":[1181],"2-1-2":[1182],"3-3-5":[1184],"4-6-9":[1186],"5-10-15":[1188],"6-More":[1190],"8":[1194,1222],"receive_funding_for_research":[1195],"Whether":[1196],"received":[1198],"Do":[1202],"research?":[1208],"1-Yes":[1209],"0-No":[1210],"9":[1211],"funders_for_research":[1212],"sources":[1215],"if":[1216],"yes":[1219],"Question":[1221],"Who":[1223],"funds":[1224],"work":[1228],"NIH,":[1230],"Foundation)?":[1232],"1-funders_for_research___1":[1237],"2-funders_for_research___2":[1244],"3-funders_for_research___3":[1249],"Foundation(NSF)":[1252],"4-funders_for_research___4":[1253]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}